From 42e3036f131a1ec6f5b287d7563321bd16bb4bde Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Fri, 4 Oct 2024 00:00:03 -0500
Subject: [PATCH 01/25] initial work on fast cross-sections

---
 uxarray/grid/grid.py          |  45 +++++++++++++++
 uxarray/grid/intersections.py | 105 +++++++++++++++++++++++++++++++++-
 2 files changed, 149 insertions(+), 1 deletion(-)

diff --git a/uxarray/grid/grid.py b/uxarray/grid/grid.py
index 0341426d0..0258c56a0 100644
--- a/uxarray/grid/grid.py
+++ b/uxarray/grid/grid.py
@@ -65,6 +65,11 @@
     _populate_edge_node_distances,
 )
 
+from uxarray.grid.intersections import (
+    constant_lat_intersections,
+    constant_lon_intersections,
+)
+
 from spatialpandas import GeoDataFrame
 
 from uxarray.plot.accessor import GridPlotAccessor
@@ -1878,3 +1883,43 @@ def isel(self, **dim_kwargs):
             raise ValueError(
                 "Indexing must be along a grid dimension: ('n_node', 'n_edge', 'n_face')"
             )
+
+    def get_edges_at_constant_latitude(self, lat):
+        """TODO:"""
+        lat = np.deg2rad(lat)
+        edge_node_connectivity = self.edge_node_connectivity.values
+        edge_node_x = self.node_x.values[edge_node_connectivity]
+        edge_node_y = self.node_y.values[edge_node_connectivity]
+        edge_node_z = self.node_z.values[edge_node_connectivity]
+
+        edges, _ = constant_lat_intersections(
+            lat, edge_node_x, edge_node_y, edge_node_z, self.n_edge
+        )
+
+        return edges
+
+    def get_edges_at_constant_longitude(self, lon):
+        """TODO:"""
+        lon = np.deg2rad(lon)
+        edge_node_connectivity = self.edge_node_connectivity.values
+        edge_node_x = self.node_x.values[edge_node_connectivity]
+        edge_node_y = self.node_y.values[edge_node_connectivity]
+        edge_node_z = self.node_z.values[edge_node_connectivity]
+
+        edges, _ = constant_lon_intersections(
+            lon, edge_node_x, edge_node_y, edge_node_z, self.n_edge
+        )
+
+        return edges
+
+    def get_faces_at_constant_latitude(self, lat):
+        """TODO:"""
+        lat = np.deg2rad(lat)
+        edges = self.get_edges_at_constant_latitude(lat)
+        return self.edge_face_connectivity[edges].data.ravel()
+
+    def get_faces_at_constant_longitude(self, lon):
+        """TODO:"""
+        lon = np.deg2rad(lon)
+        edges = self.get_edges_at_constant_longitude(lon)
+        return self.edge_face_connectivity[edges].data.ravel()
diff --git a/uxarray/grid/intersections.py b/uxarray/grid/intersections.py
index 21daab6dd..b37124a0c 100644
--- a/uxarray/grid/intersections.py
+++ b/uxarray/grid/intersections.py
@@ -1,5 +1,5 @@
 import numpy as np
-from uxarray.constants import MACHINE_EPSILON, ERROR_TOLERANCE
+from uxarray.constants import MACHINE_EPSILON, ERROR_TOLERANCE, INT_DTYPE
 from uxarray.grid.utils import _newton_raphson_solver_for_gca_constLat
 from uxarray.grid.arcs import point_within_gca, extreme_gca_latitude, in_between
 import platform
@@ -7,6 +7,109 @@
 from uxarray.utils.computing import cross_fma, allclose, dot, cross, norm
 
 
+from numba import njit
+
+
+@njit
+def constant_lat_intersections(lat, edge_node_x, edge_node_y, edge_node_z, n_edge):
+    """Determine which edges intersect a constant line of latitude on a sphere.
+
+    Parameters
+    ----------
+    lat:
+        Constant latitude value in radians.
+    edge_node_x:
+        Array of shape (n_edge, 2) containing x-coordinates of the edge nodes.
+    edge_node_y:
+        Array of shape (n_edge, 2) containing y-coordinates of the edge nodes.
+    edge_node_z:
+        Array of shape (n_edge, 2) containing z-coordinates of the edge nodes.
+    n_edge:
+        Total number of edges to check.
+
+    Returns
+    -------
+    intersecting_edges:
+        List of indices of edges that intersect the constant latitude.
+    intersection_points:
+        Array of shape (n_intersections, 3) containing intersection points in Cartesian coordinates.
+    """
+    intersecting_edges = []
+    intersection_points = []
+
+    # Calculate the constant z-value for the given latitude
+    z_constant = np.sin(lat)
+
+    # Iterate through each edge and check for intersections
+    for i in range(n_edge):
+        # Get the z-coordinates of the edge's nodes
+        z0 = edge_node_z[i, 0]
+        z1 = edge_node_z[i, 1]
+
+        # Check if the edge crosses the constant latitude plane
+        if (z0 - z_constant) * (z1 - z_constant) < 0:
+            # Calculate the intersection point using linear interpolation
+            t = (z_constant - z0) / (z1 - z0)
+            x_intersect = edge_node_x[i, 0] + t * (
+                edge_node_x[i, 1] - edge_node_x[i, 0]
+            )
+            y_intersect = edge_node_y[i, 0] + t * (
+                edge_node_y[i, 1] - edge_node_y[i, 0]
+            )
+            z_intersect = z_constant
+
+            # Append the intersecting edge index and intersection point
+            intersecting_edges.append(i)
+            intersection_points.append((x_intersect, y_intersect, z_intersect))
+
+    return np.array(intersecting_edges, dtype=INT_DTYPE), np.array(intersection_points)
+
+
+@njit
+def constant_lon_intersections(lon, edge_node_x, edge_node_y, edge_node_z, n_edge):
+    """TODO: Not quite ready, some weird behavior around poles."""
+    intersecting_edges = []
+    intersection_points = []
+
+    # Iterate through each edge and check for intersections
+    for i in range(n_edge):
+        # Get the Cartesian coordinates of the edge's nodes
+        x0, x1 = edge_node_x[i, 0], edge_node_x[i, 1]
+        y0, y1 = edge_node_y[i, 0], edge_node_y[i, 1]
+        z0, z1 = edge_node_z[i, 0], edge_node_z[i, 1]
+
+        # Convert Cartesian coordinates to spherical coordinates (latitude and longitude)
+        lat0 = np.arcsin(z0)
+        lat1 = np.arcsin(z1)
+        lon0 = np.arctan2(y0, x0)
+        lon1 = np.arctan2(y1, x1)
+
+        # Check if the edge spans the desired longitude
+        if (lon0 <= lon and lon1 >= lon) or (lon0 >= lon and lon1 <= lon):
+            # Calculate the intersection latitude using spherical trigonometry
+            d_lon = lon1 - lon0
+            d_lat = lat1 - lat0
+            if d_lon == 0:
+                continue
+
+            # Calculate the intersection latitude using linear interpolation in the spherical space
+            t = (lon - lon0) / d_lon
+            lat_intersect = lat0 + t * d_lat
+
+            # Convert intersection point back to Cartesian coordinates
+            x_intersect = np.cos(lat_intersect) * np.cos(lon)
+            y_intersect = np.cos(lat_intersect) * np.sin(lon)
+            z_intersect = np.sin(lat_intersect)
+
+            # Check if the intersection latitude is within the bounds of the edge's latitudes
+            if min(lat0, lat1) <= lat_intersect <= max(lat0, lat1):
+                # Append the intersecting edge index and intersection point
+                intersecting_edges.append(i)
+                intersection_points.append((x_intersect, y_intersect, z_intersect))
+
+    return np.array(intersecting_edges, dtype=INT_DTYPE), np.array(intersection_points)
+
+
 def gca_gca_intersection(gca1_cart, gca2_cart, fma_disabled=True):
     """Calculate the intersection point(s) of two Great Circle Arcs (GCAs) in a
     Cartesian coordinate system.

From 5c8d9d5e9bd07eb82a6ee6725a24cf067cb45c7f Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Fri, 4 Oct 2024 11:22:05 -0500
Subject: [PATCH 02/25] add API

---
 uxarray/core/dataarray.py     |  5 ++
 uxarray/grid/grid.py          | 57 ++++++++++++++---------
 uxarray/grid/intersections.py | 88 ++++++++++++++++++-----------------
 3 files changed, 84 insertions(+), 66 deletions(-)

diff --git a/uxarray/core/dataarray.py b/uxarray/core/dataarray.py
index aa4e9a7b4..36f5ad55e 100644
--- a/uxarray/core/dataarray.py
+++ b/uxarray/core/dataarray.py
@@ -1121,3 +1121,8 @@ def _slice_from_grid(self, sliced_grid):
             dims=self.dims,
             attrs=self.attrs,
         )
+
+    def constant_latitude_cross_section(self, lat: float):
+        faces = self.uxgrid.get_faces_at_constant_latitude(lat)
+
+        return self.isel(n_face=faces)
diff --git a/uxarray/grid/grid.py b/uxarray/grid/grid.py
index 0258c56a0..8bdb1f333 100644
--- a/uxarray/grid/grid.py
+++ b/uxarray/grid/grid.py
@@ -67,7 +67,6 @@
 
 from uxarray.grid.intersections import (
     constant_lat_intersections,
-    constant_lon_intersections,
 )
 
 from spatialpandas import GeoDataFrame
@@ -91,6 +90,8 @@
 
 import copy
 
+from uxarray.constants import INT_FILL_VALUE
+
 
 class Grid:
     """Represents a two-dimensional unstructured grid encoded following the
@@ -1884,9 +1885,19 @@ def isel(self, **dim_kwargs):
                 "Indexing must be along a grid dimension: ('n_node', 'n_edge', 'n_face')"
             )
 
+    def constant_latitude_cross_section(self, lat: float, return_face_indices=False):
+        faces = self.get_faces_at_constant_latitude(lat)
+
+        grid_at_constant_lat = self.isel(n_face=faces)
+
+        if return_face_indices:
+            return grid_at_constant_lat, faces
+        else:
+            return grid_at_constant_lat
+
     def get_edges_at_constant_latitude(self, lat):
         """TODO:"""
-        lat = np.deg2rad(lat)
+
         edge_node_connectivity = self.edge_node_connectivity.values
         edge_node_x = self.node_x.values[edge_node_connectivity]
         edge_node_y = self.node_y.values[edge_node_connectivity]
@@ -1895,31 +1906,31 @@ def get_edges_at_constant_latitude(self, lat):
         edges, _ = constant_lat_intersections(
             lat, edge_node_x, edge_node_y, edge_node_z, self.n_edge
         )
-
         return edges
 
-    def get_edges_at_constant_longitude(self, lon):
-        """TODO:"""
-        lon = np.deg2rad(lon)
-        edge_node_connectivity = self.edge_node_connectivity.values
-        edge_node_x = self.node_x.values[edge_node_connectivity]
-        edge_node_y = self.node_y.values[edge_node_connectivity]
-        edge_node_z = self.node_z.values[edge_node_connectivity]
-
-        edges, _ = constant_lon_intersections(
-            lon, edge_node_x, edge_node_y, edge_node_z, self.n_edge
-        )
-
-        return edges
+    # def get_edges_at_constant_longitude(self, lon):
+    #     """TODO:"""
+    #     lon = np.deg2rad(lon)
+    #     edge_node_connectivity = self.edge_node_connectivity.values
+    #     edge_node_x = self.node_x.values[edge_node_connectivity]
+    #     edge_node_y = self.node_y.values[edge_node_connectivity]
+    #     edge_node_z = self.node_z.values[edge_node_connectivity]
+    #
+    #     edges, _ = constant_lon_intersections(
+    #         lon, edge_node_x, edge_node_y, edge_node_z, self.n_edge
+    #     )
+    #
+    #     return edges
 
     def get_faces_at_constant_latitude(self, lat):
         """TODO:"""
-        lat = np.deg2rad(lat)
         edges = self.get_edges_at_constant_latitude(lat)
-        return self.edge_face_connectivity[edges].data.ravel()
+        faces = self.edge_face_connectivity[edges].data.ravel()
 
-    def get_faces_at_constant_longitude(self, lon):
-        """TODO:"""
-        lon = np.deg2rad(lon)
-        edges = self.get_edges_at_constant_longitude(lon)
-        return self.edge_face_connectivity[edges].data.ravel()
+        return faces[faces != INT_FILL_VALUE]
+
+    # def get_faces_at_constant_longitude(self, lon):
+    #     """TODO:"""
+    #     lon = np.deg2rad(lon)
+    #     edges = self.get_edges_at_constant_longitude(lon)
+    #     return self.edge_face_connectivity[edges].data.ravel()
diff --git a/uxarray/grid/intersections.py b/uxarray/grid/intersections.py
index b37124a0c..76dfcb704 100644
--- a/uxarray/grid/intersections.py
+++ b/uxarray/grid/intersections.py
@@ -34,6 +34,8 @@ def constant_lat_intersections(lat, edge_node_x, edge_node_y, edge_node_z, n_edg
     intersection_points:
         Array of shape (n_intersections, 3) containing intersection points in Cartesian coordinates.
     """
+    lat = np.deg2rad(lat)
+
     intersecting_edges = []
     intersection_points = []
 
@@ -65,49 +67,49 @@ def constant_lat_intersections(lat, edge_node_x, edge_node_y, edge_node_z, n_edg
     return np.array(intersecting_edges, dtype=INT_DTYPE), np.array(intersection_points)
 
 
-@njit
-def constant_lon_intersections(lon, edge_node_x, edge_node_y, edge_node_z, n_edge):
-    """TODO: Not quite ready, some weird behavior around poles."""
-    intersecting_edges = []
-    intersection_points = []
-
-    # Iterate through each edge and check for intersections
-    for i in range(n_edge):
-        # Get the Cartesian coordinates of the edge's nodes
-        x0, x1 = edge_node_x[i, 0], edge_node_x[i, 1]
-        y0, y1 = edge_node_y[i, 0], edge_node_y[i, 1]
-        z0, z1 = edge_node_z[i, 0], edge_node_z[i, 1]
-
-        # Convert Cartesian coordinates to spherical coordinates (latitude and longitude)
-        lat0 = np.arcsin(z0)
-        lat1 = np.arcsin(z1)
-        lon0 = np.arctan2(y0, x0)
-        lon1 = np.arctan2(y1, x1)
-
-        # Check if the edge spans the desired longitude
-        if (lon0 <= lon and lon1 >= lon) or (lon0 >= lon and lon1 <= lon):
-            # Calculate the intersection latitude using spherical trigonometry
-            d_lon = lon1 - lon0
-            d_lat = lat1 - lat0
-            if d_lon == 0:
-                continue
-
-            # Calculate the intersection latitude using linear interpolation in the spherical space
-            t = (lon - lon0) / d_lon
-            lat_intersect = lat0 + t * d_lat
-
-            # Convert intersection point back to Cartesian coordinates
-            x_intersect = np.cos(lat_intersect) * np.cos(lon)
-            y_intersect = np.cos(lat_intersect) * np.sin(lon)
-            z_intersect = np.sin(lat_intersect)
-
-            # Check if the intersection latitude is within the bounds of the edge's latitudes
-            if min(lat0, lat1) <= lat_intersect <= max(lat0, lat1):
-                # Append the intersecting edge index and intersection point
-                intersecting_edges.append(i)
-                intersection_points.append((x_intersect, y_intersect, z_intersect))
-
-    return np.array(intersecting_edges, dtype=INT_DTYPE), np.array(intersection_points)
+# @njit
+# def constant_lon_intersections(lon, edge_node_x, edge_node_y, edge_node_z, n_edge):
+#     """TODO: Not quite ready, some weird behavior around poles."""
+#     intersecting_edges = []
+#     intersection_points = []
+#
+#     # Iterate through each edge and check for intersections
+#     for i in range(n_edge):
+#         # Get the Cartesian coordinates of the edge's nodes
+#         x0, x1 = edge_node_x[i, 0], edge_node_x[i, 1]
+#         y0, y1 = edge_node_y[i, 0], edge_node_y[i, 1]
+#         z0, z1 = edge_node_z[i, 0], edge_node_z[i, 1]
+#
+#         # Convert Cartesian coordinates to spherical coordinates (latitude and longitude)
+#         lat0 = np.arcsin(z0)
+#         lat1 = np.arcsin(z1)
+#         lon0 = np.arctan2(y0, x0)
+#         lon1 = np.arctan2(y1, x1)
+#
+#         # Check if the edge spans the desired longitude
+#         if (lon0 <= lon and lon1 >= lon) or (lon0 >= lon and lon1 <= lon):
+#             # Calculate the intersection latitude using spherical trigonometry
+#             d_lon = lon1 - lon0
+#             d_lat = lat1 - lat0
+#             if d_lon == 0:
+#                 continue
+#
+#             # Calculate the intersection latitude using linear interpolation in the spherical space
+#             t = (lon - lon0) / d_lon
+#             lat_intersect = lat0 + t * d_lat
+#
+#             # Convert intersection point back to Cartesian coordinates
+#             x_intersect = np.cos(lat_intersect) * np.cos(lon)
+#             y_intersect = np.cos(lat_intersect) * np.sin(lon)
+#             z_intersect = np.sin(lat_intersect)
+#
+#             # Check if the intersection latitude is within the bounds of the edge's latitudes
+#             if min(lat0, lat1) <= lat_intersect <= max(lat0, lat1):
+#                 # Append the intersecting edge index and intersection point
+#                 intersecting_edges.append(i)
+#                 intersection_points.append((x_intersect, y_intersect, z_intersect))
+#
+#     return np.array(intersecting_edges, dtype=INT_DTYPE), np.array(intersection_points)
 
 
 def gca_gca_intersection(gca1_cart, gca2_cart, fma_disabled=True):

From aeb544b23c28e58bed7bb22a7fc977f942f69ab0 Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Fri, 4 Oct 2024 11:31:08 -0500
Subject: [PATCH 03/25] add section for cross sections

---
 docs/user-guide/cross-sections.ipynb | 156 +++++++++++++++++++++++++++
 docs/userguide.rst                   |   4 +
 2 files changed, 160 insertions(+)
 create mode 100644 docs/user-guide/cross-sections.ipynb

diff --git a/docs/user-guide/cross-sections.ipynb b/docs/user-guide/cross-sections.ipynb
new file mode 100644
index 000000000..20cdcaa4a
--- /dev/null
+++ b/docs/user-guide/cross-sections.ipynb
@@ -0,0 +1,156 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4a432a8bf95d9cdb",
+   "metadata": {},
+   "source": [
+    "# Cross-Sections"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b35ba4a2c30750e4",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-10-04T14:54:06.168033Z",
+     "start_time": "2024-10-04T14:54:03.916424Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import uxarray as ux\n",
+    "import geoviews.feature as gf\n",
+    "import cartopy.crs as ccrs\n",
+    "import geoviews as gv\n",
+    "\n",
+    "projection = ccrs.Robinson()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "395a3db7-495c-4cff-b733-06bbe522a604",
+   "metadata": {},
+   "source": [
+    "## Data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b4160275c09fe6b0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "base_path = \"../../test/meshfiles/ugrid/outCSne30/\"\n",
+    "grid_path = base_path + \"outCSne30.ug\"\n",
+    "data_path = base_path + \"outCSne30_vortex.nc\"\n",
+    "\n",
+    "uxds = ux.open_dataset(grid_path, data_path)\n",
+    "\n",
+    "uxds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "350df379-f496-46b7-ab86-5a2e630e3cea",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "uxds.uxgrid.normalize_cartesian_coordinates()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a7a40958-0a4d-47e4-9e38-31925261a892",
+   "metadata": {},
+   "source": [
+    "## Constant Latitude"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9facc02e-e4d4-4be3-9473-1a47e512c274",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lat = 1.0\n",
+    "\n",
+    "uxda_constant_lat = uxds[\"psi\"].constant_latitude_cross_section(lat)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bb5132fc-0d49-4484-95d4-8197c955a954",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "constant_lat_line = gv.Path([(-180, lat), (180, lat)]).opts(\n",
+    "    projection=projection, color=\"grey\", line_width=2, alpha=0.5\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "484b77a6-86da-4395-9e63-f5ac56e37deb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "(\n",
+    "    uxda_constant_lat.plot(\n",
+    "        rasterize=False,\n",
+    "        backend=\"bokeh\",\n",
+    "        cmap=\"inferno\",\n",
+    "        projection=projection,\n",
+    "        global_extent=True,\n",
+    "        coastline=True,\n",
+    "    )\n",
+    "    * gf.grid(projection=projection)\n",
+    "    * constant_lat_line\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c4a7ee25-0b60-470f-bab7-92ff70563076",
+   "metadata": {},
+   "source": [
+    "## Constant Longitude"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "54d9eff1-67f1-4691-a3b0-1ee0c874c98f",
+   "metadata": {},
+   "source": [
+    "## Arbitrary Great Circle Arc (GCA)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/userguide.rst b/docs/userguide.rst
index 98618cfe4..24e2ca61b 100644
--- a/docs/userguide.rst
+++ b/docs/userguide.rst
@@ -43,6 +43,9 @@ These user guides provide detailed explanations of the core functionality in UXa
 `Subsetting <user-guide/subset.ipynb>`_
  Select specific regions of a grid
 
+`Cross-Sections <user-guide/cross-sections.ipynb>`_
+ Select cross-sections of a grid
+
 `Remapping <user-guide/remapping.ipynb>`_
  Remap (a.k.a Regrid) between unstructured grids
 
@@ -79,6 +82,7 @@ These user guides provide additional detail about specific features in UXarray.
    user-guide/mpl.ipynb
    user-guide/advanced-plotting.ipynb
    user-guide/subset.ipynb
+   user-guide/cross-sections.ipynb
    user-guide/topological-aggregations.ipynb
    user-guide/area_calc.ipynb
    user-guide/holoviz.ipynb

From a2b247f606a979fb0742310aedb4f933bda629d4 Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Fri, 4 Oct 2024 17:33:01 -0500
Subject: [PATCH 04/25] parallel numba

---
 docs/user-guide/cross-sections.ipynb | 1863 +++++++++++++++++++++++++-
 uxarray/grid/grid.py                 |   50 +-
 uxarray/grid/intersections.py        |   36 +-
 3 files changed, 1888 insertions(+), 61 deletions(-)

diff --git a/docs/user-guide/cross-sections.ipynb b/docs/user-guide/cross-sections.ipynb
index 20cdcaa4a..e7e6f5ebc 100644
--- a/docs/user-guide/cross-sections.ipynb
+++ b/docs/user-guide/cross-sections.ipynb
@@ -10,7 +10,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "b35ba4a2c30750e4",
    "metadata": {
     "ExecuteTime": {
@@ -18,7 +18,606 @@
      "start_time": "2024-10-04T14:54:03.916424Z"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "(function(root) {\n",
+       "  function now() {\n",
+       "    return new Date();\n",
+       "  }\n",
+       "\n",
+       "  var force = true;\n",
+       "  var py_version = '3.4.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
+       "  var reloading = false;\n",
+       "  var Bokeh = root.Bokeh;\n",
+       "\n",
+       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
+       "    root._bokeh_timeout = Date.now() + 5000;\n",
+       "    root._bokeh_failed_load = false;\n",
+       "  }\n",
+       "\n",
+       "  function run_callbacks() {\n",
+       "    try {\n",
+       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
+       "        if (callback != null)\n",
+       "          callback();\n",
+       "      });\n",
+       "    } finally {\n",
+       "      delete root._bokeh_onload_callbacks;\n",
+       "    }\n",
+       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
+       "  }\n",
+       "\n",
+       "  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n",
+       "    if (css_urls == null) css_urls = [];\n",
+       "    if (js_urls == null) js_urls = [];\n",
+       "    if (js_modules == null) js_modules = [];\n",
+       "    if (js_exports == null) js_exports = {};\n",
+       "\n",
+       "    root._bokeh_onload_callbacks.push(callback);\n",
+       "\n",
+       "    if (root._bokeh_is_loading > 0) {\n",
+       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
+       "      return null;\n",
+       "    }\n",
+       "    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
+       "      run_callbacks();\n",
+       "      return null;\n",
+       "    }\n",
+       "    if (!reloading) {\n",
+       "      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+       "    }\n",
+       "\n",
+       "    function on_load() {\n",
+       "      root._bokeh_is_loading--;\n",
+       "      if (root._bokeh_is_loading === 0) {\n",
+       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
+       "        run_callbacks()\n",
+       "      }\n",
+       "    }\n",
+       "    window._bokeh_on_load = on_load\n",
+       "\n",
+       "    function on_error() {\n",
+       "      console.error(\"failed to load \" + url);\n",
+       "    }\n",
+       "\n",
+       "    var skip = [];\n",
+       "    if (window.requirejs) {\n",
+       "      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n",
+       "      root._bokeh_is_loading = css_urls.length + 0;\n",
+       "    } else {\n",
+       "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
+       "    }\n",
+       "\n",
+       "    var existing_stylesheets = []\n",
+       "    var links = document.getElementsByTagName('link')\n",
+       "    for (var i = 0; i < links.length; i++) {\n",
+       "      var link = links[i]\n",
+       "      if (link.href != null) {\n",
+       "\texisting_stylesheets.push(link.href)\n",
+       "      }\n",
+       "    }\n",
+       "    for (var i = 0; i < css_urls.length; i++) {\n",
+       "      var url = css_urls[i];\n",
+       "      if (existing_stylesheets.indexOf(url) !== -1) {\n",
+       "\ton_load()\n",
+       "\tcontinue;\n",
+       "      }\n",
+       "      const element = document.createElement(\"link\");\n",
+       "      element.onload = on_load;\n",
+       "      element.onerror = on_error;\n",
+       "      element.rel = \"stylesheet\";\n",
+       "      element.type = \"text/css\";\n",
+       "      element.href = url;\n",
+       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
+       "      document.body.appendChild(element);\n",
+       "    }    var existing_scripts = []\n",
+       "    var scripts = document.getElementsByTagName('script')\n",
+       "    for (var i = 0; i < scripts.length; i++) {\n",
+       "      var script = scripts[i]\n",
+       "      if (script.src != null) {\n",
+       "\texisting_scripts.push(script.src)\n",
+       "      }\n",
+       "    }\n",
+       "    for (var i = 0; i < js_urls.length; i++) {\n",
+       "      var url = js_urls[i];\n",
+       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
+       "\tif (!window.requirejs) {\n",
+       "\t  on_load();\n",
+       "\t}\n",
+       "\tcontinue;\n",
+       "      }\n",
+       "      var element = document.createElement('script');\n",
+       "      element.onload = on_load;\n",
+       "      element.onerror = on_error;\n",
+       "      element.async = false;\n",
+       "      element.src = url;\n",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    for (var i = 0; i < js_modules.length; i++) {\n",
+       "      var url = js_modules[i];\n",
+       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
+       "\tif (!window.requirejs) {\n",
+       "\t  on_load();\n",
+       "\t}\n",
+       "\tcontinue;\n",
+       "      }\n",
+       "      var element = document.createElement('script');\n",
+       "      element.onload = on_load;\n",
+       "      element.onerror = on_error;\n",
+       "      element.async = false;\n",
+       "      element.src = url;\n",
+       "      element.type = \"module\";\n",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    for (const name in js_exports) {\n",
+       "      var url = js_exports[name];\n",
+       "      if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
+       "\tif (!window.requirejs) {\n",
+       "\t  on_load();\n",
+       "\t}\n",
+       "\tcontinue;\n",
+       "      }\n",
+       "      var element = document.createElement('script');\n",
+       "      element.onerror = on_error;\n",
+       "      element.async = false;\n",
+       "      element.type = \"module\";\n",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      element.textContent = `\n",
+       "      import ${name} from \"${url}\"\n",
+       "      window.${name} = ${name}\n",
+       "      window._bokeh_on_load()\n",
+       "      `\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    if (!js_urls.length && !js_modules.length) {\n",
+       "      on_load()\n",
+       "    }\n",
+       "  };\n",
+       "\n",
+       "  function inject_raw_css(css) {\n",
+       "    const element = document.createElement(\"style\");\n",
+       "    element.appendChild(document.createTextNode(css));\n",
+       "    document.body.appendChild(element);\n",
+       "  }\n",
+       "\n",
+       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.2.min.js\", \"https://cdn.holoviz.org/panel/1.4.4/dist/panel.min.js\"];\n",
+       "  var js_modules = [];\n",
+       "  var js_exports = {};\n",
+       "  var css_urls = [];\n",
+       "  var inline_js = [    function(Bokeh) {\n",
+       "      Bokeh.set_log_level(\"info\");\n",
+       "    },\n",
+       "function(Bokeh) {} // ensure no trailing comma for IE\n",
+       "  ];\n",
+       "\n",
+       "  function run_inline_js() {\n",
+       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
+       "      for (var i = 0; i < inline_js.length; i++) {\n",
+       "\ttry {\n",
+       "          inline_js[i].call(root, root.Bokeh);\n",
+       "\t} catch(e) {\n",
+       "\t  if (!reloading) {\n",
+       "\t    throw e;\n",
+       "\t  }\n",
+       "\t}\n",
+       "      }\n",
+       "      // Cache old bokeh versions\n",
+       "      if (Bokeh != undefined && !reloading) {\n",
+       "\tvar NewBokeh = root.Bokeh;\n",
+       "\tif (Bokeh.versions === undefined) {\n",
+       "\t  Bokeh.versions = new Map();\n",
+       "\t}\n",
+       "\tif (NewBokeh.version !== Bokeh.version) {\n",
+       "\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
+       "\t}\n",
+       "\troot.Bokeh = Bokeh;\n",
+       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
+       "      setTimeout(run_inline_js, 100);\n",
+       "    } else if (!root._bokeh_failed_load) {\n",
+       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
+       "      root._bokeh_failed_load = true;\n",
+       "    }\n",
+       "    root._bokeh_is_initializing = false\n",
+       "  }\n",
+       "\n",
+       "  function load_or_wait() {\n",
+       "    // Implement a backoff loop that tries to ensure we do not load multiple\n",
+       "    // versions of Bokeh and its dependencies at the same time.\n",
+       "    // In recent versions we use the root._bokeh_is_initializing flag\n",
+       "    // to determine whether there is an ongoing attempt to initialize\n",
+       "    // bokeh, however for backward compatibility we also try to ensure\n",
+       "    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
+       "    // before older versions are fully initialized.\n",
+       "    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
+       "      root._bokeh_is_initializing = false;\n",
+       "      root._bokeh_onload_callbacks = undefined;\n",
+       "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
+       "      load_or_wait();\n",
+       "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
+       "      setTimeout(load_or_wait, 100);\n",
+       "    } else {\n",
+       "      root._bokeh_is_initializing = true\n",
+       "      root._bokeh_onload_callbacks = []\n",
+       "      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
+       "      if (!reloading && !bokeh_loaded) {\n",
+       "\troot.Bokeh = undefined;\n",
+       "      }\n",
+       "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
+       "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+       "\trun_inline_js();\n",
+       "      });\n",
+       "    }\n",
+       "  }\n",
+       "  // Give older versions of the autoload script a head-start to ensure\n",
+       "  // they initialize before we start loading newer version.\n",
+       "  setTimeout(load_or_wait, 100)\n",
+       "}(window));"
+      ],
+      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.4.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var reloading = false;\n  var Bokeh = root.Bokeh;\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks;\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.2.min.js\", \"https://cdn.holoviz.org/panel/1.4.4/dist/panel.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "\n",
+       "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
+       "  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
+       "}\n",
+       "\n",
+       "\n",
+       "    function JupyterCommManager() {\n",
+       "    }\n",
+       "\n",
+       "    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
+       "      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
+       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
+       "        comm_manager.register_target(comm_id, function(comm) {\n",
+       "          comm.on_msg(msg_handler);\n",
+       "        });\n",
+       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
+       "        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
+       "          comm.onMsg = msg_handler;\n",
+       "        });\n",
+       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
+       "        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n",
+       "          var messages = comm.messages[Symbol.asyncIterator]();\n",
+       "          function processIteratorResult(result) {\n",
+       "            var message = result.value;\n",
+       "            console.log(message)\n",
+       "            var content = {data: message.data, comm_id};\n",
+       "            var buffers = []\n",
+       "            for (var buffer of message.buffers || []) {\n",
+       "              buffers.push(new DataView(buffer))\n",
+       "            }\n",
+       "            var metadata = message.metadata || {};\n",
+       "            var msg = {content, buffers, metadata}\n",
+       "            msg_handler(msg);\n",
+       "            return messages.next().then(processIteratorResult);\n",
+       "          }\n",
+       "          return messages.next().then(processIteratorResult);\n",
+       "        })\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
+       "      if (comm_id in window.PyViz.comms) {\n",
+       "        return window.PyViz.comms[comm_id];\n",
+       "      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
+       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
+       "        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n",
+       "        if (msg_handler) {\n",
+       "          comm.on_msg(msg_handler);\n",
+       "        }\n",
+       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
+       "        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
+       "        comm.open();\n",
+       "        if (msg_handler) {\n",
+       "          comm.onMsg = msg_handler;\n",
+       "        }\n",
+       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
+       "        var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
+       "        comm_promise.then((comm) => {\n",
+       "          window.PyViz.comms[comm_id] = comm;\n",
+       "          if (msg_handler) {\n",
+       "            var messages = comm.messages[Symbol.asyncIterator]();\n",
+       "            function processIteratorResult(result) {\n",
+       "              var message = result.value;\n",
+       "              var content = {data: message.data};\n",
+       "              var metadata = message.metadata || {comm_id};\n",
+       "              var msg = {content, metadata}\n",
+       "              msg_handler(msg);\n",
+       "              return messages.next().then(processIteratorResult);\n",
+       "            }\n",
+       "            return messages.next().then(processIteratorResult);\n",
+       "          }\n",
+       "        }) \n",
+       "        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
+       "          return comm_promise.then((comm) => {\n",
+       "            comm.send(data, metadata, buffers, disposeOnDone);\n",
+       "          });\n",
+       "        };\n",
+       "        var comm = {\n",
+       "          send: sendClosure\n",
+       "        };\n",
+       "      }\n",
+       "      window.PyViz.comms[comm_id] = comm;\n",
+       "      return comm;\n",
+       "    }\n",
+       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
+       "    \n",
+       "\n",
+       "\n",
+       "var JS_MIME_TYPE = 'application/javascript';\n",
+       "var HTML_MIME_TYPE = 'text/html';\n",
+       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
+       "var CLASS_NAME = 'output';\n",
+       "\n",
+       "/**\n",
+       " * Render data to the DOM node\n",
+       " */\n",
+       "function render(props, node) {\n",
+       "  var div = document.createElement(\"div\");\n",
+       "  var script = document.createElement(\"script\");\n",
+       "  node.appendChild(div);\n",
+       "  node.appendChild(script);\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle when a new output is added\n",
+       " */\n",
+       "function handle_add_output(event, handle) {\n",
+       "  var output_area = handle.output_area;\n",
+       "  var output = handle.output;\n",
+       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+       "    return\n",
+       "  }\n",
+       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
+       "  if (id !== undefined) {\n",
+       "    var nchildren = toinsert.length;\n",
+       "    var html_node = toinsert[nchildren-1].children[0];\n",
+       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "    var scripts = [];\n",
+       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
+       "    for (var i in nodelist) {\n",
+       "      if (nodelist.hasOwnProperty(i)) {\n",
+       "        scripts.push(nodelist[i])\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    scripts.forEach( function (oldScript) {\n",
+       "      var newScript = document.createElement(\"script\");\n",
+       "      var attrs = [];\n",
+       "      var nodemap = oldScript.attributes;\n",
+       "      for (var j in nodemap) {\n",
+       "        if (nodemap.hasOwnProperty(j)) {\n",
+       "          attrs.push(nodemap[j])\n",
+       "        }\n",
+       "      }\n",
+       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
+       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
+       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
+       "    });\n",
+       "    if (JS_MIME_TYPE in output.data) {\n",
+       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
+       "    }\n",
+       "    output_area._hv_plot_id = id;\n",
+       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
+       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
+       "    } else {\n",
+       "      window.PyViz.plot_index[id] = null;\n",
+       "    }\n",
+       "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
+       "    var bk_div = document.createElement(\"div\");\n",
+       "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "    var script_attrs = bk_div.children[0].attributes;\n",
+       "    for (var i = 0; i < script_attrs.length; i++) {\n",
+       "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
+       "    }\n",
+       "    // store reference to server id on output_area\n",
+       "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle when an output is cleared or removed\n",
+       " */\n",
+       "function handle_clear_output(event, handle) {\n",
+       "  var id = handle.cell.output_area._hv_plot_id;\n",
+       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
+       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
+       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
+       "  if (server_id !== null) {\n",
+       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
+       "    return;\n",
+       "  } else if (comm !== null) {\n",
+       "    comm.send({event_type: 'delete', 'id': id});\n",
+       "  }\n",
+       "  delete PyViz.plot_index[id];\n",
+       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
+       "    var doc = window.Bokeh.index[id].model.document\n",
+       "    doc.clear();\n",
+       "    const i = window.Bokeh.documents.indexOf(doc);\n",
+       "    if (i > -1) {\n",
+       "      window.Bokeh.documents.splice(i, 1);\n",
+       "    }\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle kernel restart event\n",
+       " */\n",
+       "function handle_kernel_cleanup(event, handle) {\n",
+       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
+       "  window.PyViz.plot_index = {}\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle update_display_data messages\n",
+       " */\n",
+       "function handle_update_output(event, handle) {\n",
+       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
+       "  handle_add_output(event, handle)\n",
+       "}\n",
+       "\n",
+       "function register_renderer(events, OutputArea) {\n",
+       "  function append_mime(data, metadata, element) {\n",
+       "    // create a DOM node to render to\n",
+       "    var toinsert = this.create_output_subarea(\n",
+       "    metadata,\n",
+       "    CLASS_NAME,\n",
+       "    EXEC_MIME_TYPE\n",
+       "    );\n",
+       "    this.keyboard_manager.register_events(toinsert);\n",
+       "    // Render to node\n",
+       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
+       "    render(props, toinsert[0]);\n",
+       "    element.append(toinsert);\n",
+       "    return toinsert\n",
+       "  }\n",
+       "\n",
+       "  events.on('output_added.OutputArea', handle_add_output);\n",
+       "  events.on('output_updated.OutputArea', handle_update_output);\n",
+       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
+       "  events.on('delete.Cell', handle_clear_output);\n",
+       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
+       "\n",
+       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
+       "    safe: true,\n",
+       "    index: 0\n",
+       "  });\n",
+       "}\n",
+       "\n",
+       "if (window.Jupyter !== undefined) {\n",
+       "  try {\n",
+       "    var events = require('base/js/events');\n",
+       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
+       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
+       "      register_renderer(events, OutputArea);\n",
+       "    }\n",
+       "  } catch(err) {\n",
+       "  }\n",
+       "}\n"
+      ],
+      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>*[data-root-id],\n",
+       "*[data-root-id] > * {\n",
+       "  box-sizing: border-box;\n",
+       "  font-family: var(--jp-ui-font-family);\n",
+       "  font-size: var(--jp-ui-font-size1);\n",
+       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
+       "}\n",
+       "\n",
+       "/* Override VSCode background color */\n",
+       ".cell-output-ipywidget-background:has(\n",
+       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
+       "  ),\n",
+       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "</style>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.holoviews_exec.v0+json": "",
+      "text/html": [
+       "<div id='p1002'>\n",
+       "  <div id=\"bc38e159-cbb9-46ea-89a3-79f37141a674\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
+       "</div>\n",
+       "<script type=\"application/javascript\">(function(root) {\n",
+       "  var docs_json = {\"e76dba2b-60cc-4f0e-a9e9-6692c345ecb3\":{\"version\":\"3.4.2\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"p1002\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1003\",\"attributes\":{\"plot_id\":\"p1002\",\"comm_id\":\"ebbb6ccfc20246b6a850fec51fe03a88\",\"client_comm_id\":\"40b4b59176324aa6ba4732976df83a87\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"e76dba2b-60cc-4f0e-a9e9-6692c345ecb3\",\"roots\":{\"p1002\":\"bc38e159-cbb9-46ea-89a3-79f37141a674\"},\"root_ids\":[\"p1002\"]}];\n",
+       "  var docs = Object.values(docs_json)\n",
+       "  if (!docs) {\n",
+       "    return\n",
+       "  }\n",
+       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
+       "  async function embed_document(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    for (const render_item of render_items) {\n",
+       "      for (const root_id of render_item.root_ids) {\n",
+       "\tconst id_el = document.getElementById(root_id)\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
+       "\t  const root_el = id_el.children[0]\n",
+       "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
+       "\t}\n",
+       "      }\n",
+       "    }\n",
+       "  }\n",
+       "  function get_bokeh(root) {\n",
+       "    if (root.Bokeh === undefined) {\n",
+       "      return null\n",
+       "    } else if (root.Bokeh.version !== py_version) {\n",
+       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
+       "\treturn null\n",
+       "      }\n",
+       "      return root.Bokeh.versions.get(py_version);\n",
+       "    } else if (root.Bokeh.version === py_version) {\n",
+       "      return root.Bokeh\n",
+       "    }\n",
+       "    return null\n",
+       "  }\n",
+       "  function is_loaded(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
+       "  }\n",
+       "  if (is_loaded(root)) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (is_loaded(root)) {\n",
+       "        clearInterval(timer);\n",
+       "        embed_document(root);\n",
+       "      } else if (document.readyState == \"complete\") {\n",
+       "        attempts++;\n",
+       "        if (attempts > 200) {\n",
+       "          clearInterval(timer);\n",
+       "\t  var Bokeh = get_bokeh(root)\n",
+       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
+       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
+       "\t  } else {\n",
+       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
+       "\t    embed_document(root)\n",
+       "\t  }\n",
+       "        }\n",
+       "      }\n",
+       "    }, 25, root)\n",
+       "  }\n",
+       "})(window);</script>"
+      ]
+     },
+     "metadata": {
+      "application/vnd.holoviews_exec.v0+json": {
+       "id": "p1002"
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "import uxarray as ux\n",
     "import geoviews.feature as gf\n",
@@ -38,10 +637,1147 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "b4160275c09fe6b0",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
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+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
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+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
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+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
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+       "  padding-top: 4px;\n",
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+       "}\n",
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+       "\n",
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+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
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+       "  display: none;\n",
+       "}\n",
+       "\n",
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+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
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+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.UxDataset&gt; Size: 43kB\n",
+       "Dimensions:  (n_face: 5400)\n",
+       "Dimensions without coordinates: n_face\n",
+       "Data variables:\n",
+       "    psi      (n_face) float64 43kB ...</pre><div class='xr-wrap' style='display:none'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.UxDataset&gt; Size: 43kB\n",
+       "Dimensions:  (n_face: 5400)\n",
+       "Dimensions without coordinates: n_face\n",
+       "Data variables:\n",
+       "    psi      (n_face) float64 43kB ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>uxarray.UxDataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8e316a36-28b9-466d-ad8a-d9545bcdf2d5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8e316a36-28b9-466d-ad8a-d9545bcdf2d5' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>n_face</span>: 5400</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-47052071-3de4-4339-aca8-e62f83886548' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-47052071-3de4-4339-aca8-e62f83886548' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-fa257f9e-b794-4925-abb8-7285dfb1862c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fa257f9e-b794-4925-abb8-7285dfb1862c' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>psi</span></div><div class='xr-var-dims'>(n_face)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dab384f5-3d23-4c1d-b2c9-8afd72bd0d22' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dab384f5-3d23-4c1d-b2c9-8afd72bd0d22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a2a4100-b21a-4e7f-af5d-172f9851224a' class='xr-var-data-in' type='checkbox'><label for='data-7a2a4100-b21a-4e7f-af5d-172f9851224a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[5400 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1832e5b2-ccbc-442a-bebd-6587c550e8ca' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1832e5b2-ccbc-442a-bebd-6587c550e8ca' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-af2f28b6-b7a1-4d9f-ba01-c481965fdef6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-af2f28b6-b7a1-4d9f-ba01-c481965fdef6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div><details><summary>Show Grid Information</summary><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;uxarray.Grid&gt;\n",
+       "Original Grid Type: UGRID\n",
+       "Grid Dimensions:\n",
+       "  * n_node: 5402\n",
+       "  * n_face: 5400\n",
+       "  * n_max_face_nodes: 4\n",
+       "  * n_nodes_per_face: (5400,)\n",
+       "Grid Coordinates (Spherical):\n",
+       "  * node_lon: (5402,)\n",
+       "  * node_lat: (5402,)\n",
+       "Grid Coordinates (Cartesian):\n",
+       "Grid Connectivity Variables:\n",
+       "  * face_node_connectivity: (5400, 4)\n",
+       "Grid Descriptor Variables:\n",
+       "  * n_nodes_per_face: (5400,)\n",
+       "</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>uxarray.UxDataset.uxgrid</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-94244bfb-65de-45a5-8659-f88ce3f4cd39' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-94244bfb-65de-45a5-8659-f88ce3f4cd39' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>n_face</span>: 5400</li><li><span>n_max_face_nodes</span>: 4</li><li><span>n_node</span>: 5402</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a4d11db1-7dea-4bab-9481-a034577907f0' class='xr-section-summary-in' type='checkbox'  ><label for='section-a4d11db1-7dea-4bab-9481-a034577907f0' class='xr-section-summary' >Spherical Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>node_lon</span></div><div class='xr-var-dims'>(n_node)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-45.0 45.0 135.0 ... 138.0 135.0</div><input id='attrs-6f59144e-1066-49d5-9c96-c1a1c447144e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f59144e-1066-49d5-9c96-c1a1c447144e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f2e2940-52b1-4ec8-a0c7-5af81a8521c0' class='xr-var-data-in' type='checkbox'><label for='data-2f2e2940-52b1-4ec8-a0c7-5af81a8521c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude of 2D mesh nodes</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-45.        ,  45.        , 135.        , ..., 141.09968961,\n",
+       "       138.03317102, 135.        ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>node_lat</span></div><div class='xr-var-dims'>(n_node)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-99527daf-2c78-4fcb-85c4-c40fdb38b2ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99527daf-2c78-4fcb-85c4-c40fdb38b2ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5539948d-5f86-4927-8fa9-97635f303c5c' class='xr-var-data-in' type='checkbox'><label for='data-5539948d-5f86-4927-8fa9-97635f303c5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude of 2D mesh nodes</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[5402 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4f8e9a41-b8d5-4a0b-8b95-7e21b563382b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4f8e9a41-b8d5-4a0b-8b95-7e21b563382b' class='xr-section-summary'  title='Expand/collapse section'>Cartesian Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-cce0bc28-ca55-4e9c-aaa5-569cb7a49b35' class='xr-section-summary-in' type='checkbox'  ><label for='section-cce0bc28-ca55-4e9c-aaa5-569cb7a49b35' class='xr-section-summary' >Connectivity: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>face_node_connectivity</span></div><div class='xr-var-dims'>(n_face, n_max_face_nodes)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 8 356 124 8 ... 5401 297 6 298</div><input id='attrs-5092f401-8880-4fbc-97a4-9139ae1bae0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5092f401-8880-4fbc-97a4-9139ae1bae0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c79eff52-c864-4112-ba2d-3aef4b5f4c76' class='xr-var-data-in' type='checkbox'><label for='data-c79eff52-c864-4112-ba2d-3aef4b5f4c76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cf_role :</span></dt><dd>face_node_connectivity</dd><dt><span>start_index :</span></dt><dd>0</dd><dt><span>_FillValue :</span></dt><dd>-9223372036854775808</dd></dl></div><div class='xr-var-data'><pre>array([[   0,    8,  356,  124],\n",
+       "       [   8,    9,  357,  356],\n",
+       "       [   9,   10,  358,  357],\n",
+       "       ...,\n",
+       "       [5399, 5400,  299,  300],\n",
+       "       [5400, 5401,  298,  299],\n",
+       "       [5401,  297,    6,  298]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2fba6717-a154-4081-b2a0-899049b74f4a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2fba6717-a154-4081-b2a0-899049b74f4a' class='xr-section-summary'  title='Expand/collapse section'>Descriptors: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-109ab959-040e-4b99-9fde-f4d7e78ec334' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-109ab959-040e-4b99-9fde-f4d7e78ec334' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></details></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.UxDataset> Size: 43kB\n",
+       "Dimensions:  (n_face: 5400)\n",
+       "Dimensions without coordinates: n_face\n",
+       "Data variables:\n",
+       "    psi      (n_face) float64 43kB ..."
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "base_path = \"../../test/meshfiles/ugrid/outCSne30/\"\n",
     "grid_path = base_path + \"outCSne30.ug\"\n",
@@ -54,7 +1790,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "350df379-f496-46b7-ab86-5a2e630e3cea",
    "metadata": {},
    "outputs": [],
@@ -72,11 +1808,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "id": "9facc02e-e4d4-4be3-9473-1a47e512c274",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 5.89 ms, sys: 2.29 ms, total: 8.18 ms\n",
+      "Wall time: 6.02 ms\n"
+     ]
+    }
+   ],
    "source": [
+    "%%time\n",
     "lat = 1.0\n",
     "\n",
     "uxda_constant_lat = uxds[\"psi\"].constant_latitude_cross_section(lat)"
@@ -84,7 +1830,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "id": "bb5132fc-0d49-4484-95d4-8197c955a954",
    "metadata": {},
    "outputs": [],
@@ -96,10 +1842,107 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "id": "484b77a6-86da-4395-9e63-f5ac56e37deb",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {},
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.holoviews_exec.v0+json": "",
+      "text/html": [
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+       "</div>\n",
+       "<script type=\"application/javascript\">(function(root) {\n",
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\"},\"shape\":[734],\"dtype\":\"float64\",\"order\":\"little\"},{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[733],\"dtype\":\"float64\",\"order\":\"little\"},{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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ype\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p2062\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p2063\"},\"axis_label\":\"Latitude\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2064\"}}}],\"right\":[{\"type\":\"object\",\"name\":\"ColorBar\",\"id\":\"p2085\",\"attributes\":{\"location\":[0,0],\"title\":\"psi\",\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p2084\",\"attributes\":{\"mantissas\":[1,2,5]}},\"major_label_policy\":{\"type\":\"object\",\"name\":\"NoOverlap\",\"id\":\"p2086\"},\"label_standoff\":8,\"major_tick_line_color\":\"black\",\"bar_line_color\":\"black\",\"color_mapper\":{\"id\":\"p2069\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p2056\",\"attributes\":{\"visible\":false,\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p2057\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p2058\"},\"axis_label\":\"Longitude\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2059\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2060\",\"attributes\":{\"axis\":{\"id\":\"p2056\"},\"grid_line_color\":null}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2065\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p2061\"},\"grid_line_color\":null}}],\"frame_width\":591,\"frame_height\":300,\"min_border_top\":10,\"min_border_bottom\":10,\"min_border_left\":10,\"min_border_right\":10,\"output_backend\":\"webgl\",\"match_aspect\":true}},{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p2143\",\"attributes\":{\"name\":\"HSpacer02205\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p1974\"},{\"id\":\"p1972\"},{\"id\":\"p1973\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}}]}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"da3fd977-4e44-4efe-80df-1d92c88c677f\",\"roots\":{\"p1971\":\"b9fda20b-94df-4788-9907-68243fe857e0\"},\"root_ids\":[\"p1971\"]}];\n",
+       "  var docs = Object.values(docs_json)\n",
+       "  if (!docs) {\n",
+       "    return\n",
+       "  }\n",
+       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
+       "  async function embed_document(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    for (const render_item of render_items) {\n",
+       "      for (const root_id of render_item.root_ids) {\n",
+       "\tconst id_el = document.getElementById(root_id)\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
+       "\t  const root_el = id_el.children[0]\n",
+       "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
+       "\t}\n",
+       "      }\n",
+       "    }\n",
+       "  }\n",
+       "  function get_bokeh(root) {\n",
+       "    if (root.Bokeh === undefined) {\n",
+       "      return null\n",
+       "    } else if (root.Bokeh.version !== py_version) {\n",
+       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
+       "\treturn null\n",
+       "      }\n",
+       "      return root.Bokeh.versions.get(py_version);\n",
+       "    } else if (root.Bokeh.version === py_version) {\n",
+       "      return root.Bokeh\n",
+       "    }\n",
+       "    return null\n",
+       "  }\n",
+       "  function is_loaded(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
+       "  }\n",
+       "  if (is_loaded(root)) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (is_loaded(root)) {\n",
+       "        clearInterval(timer);\n",
+       "        embed_document(root);\n",
+       "      } else if (document.readyState == \"complete\") {\n",
+       "        attempts++;\n",
+       "        if (attempts > 200) {\n",
+       "          clearInterval(timer);\n",
+       "\t  var Bokeh = get_bokeh(root)\n",
+       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
+       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
+       "\t  } else {\n",
+       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
+       "\t    embed_document(root)\n",
+       "\t  }\n",
+       "        }\n",
+       "      }\n",
+       "    }, 25, root)\n",
+       "  }\n",
+       "})(window);</script>"
+      ],
+      "text/plain": [
+       ":Overlay\n",
+       "   .Polygons.I  :Polygons   [Longitude,Latitude]   (psi)\n",
+       "   .Coastline.I :Feature   [Longitude,Latitude]\n",
+       "   .Grid.I      :Feature   [Longitude,Latitude]\n",
+       "   .Path.I      :Path   [Longitude,Latitude]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {
+      "application/vnd.holoviews_exec.v0+json": {
+       "id": "p1971"
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "(\n",
     "    uxda_constant_lat.plot(\n",
diff --git a/uxarray/grid/grid.py b/uxarray/grid/grid.py
index 8bdb1f333..c3ade1f63 100644
--- a/uxarray/grid/grid.py
+++ b/uxarray/grid/grid.py
@@ -950,7 +950,7 @@ def face_node_connectivity(self, value):
     def edge_node_connectivity(self) -> xr.DataArray:
         """Indices of the two nodes that make up each edge.
 
-        Dimensions: ``(n_edge, n_max_edge_nodes)``
+        Dimensions: ``(n_edge, two)``
 
         Nodes are in arbitrary order.
         """
@@ -965,6 +965,23 @@ def edge_node_connectivity(self, value):
         assert isinstance(value, xr.DataArray)
         self._ds["edge_node_connectivity"] = value
 
+    @property
+    def edge_node_z(self) -> xr.DataArray:
+        """Cartesian z location for the two nodes that make up every edge.
+
+        Dimensions: ``(n_edge, two)``
+        """
+
+        if "edge_node_z" not in self._ds:
+            _edge_node_z = self.node_z.values[self.edge_node_connectivity.values]
+
+            self._ds["edge_node_z"] = xr.DataArray(
+                data=_edge_node_z,
+                dims=["n_edge", "two"],
+            )
+
+        return self._ds["edge_node_z"]
+
     @property
     def node_node_connectivity(self) -> xr.DataArray:
         """Indices of the nodes that surround each node."""
@@ -1898,29 +1915,8 @@ def constant_latitude_cross_section(self, lat: float, return_face_indices=False)
     def get_edges_at_constant_latitude(self, lat):
         """TODO:"""
 
-        edge_node_connectivity = self.edge_node_connectivity.values
-        edge_node_x = self.node_x.values[edge_node_connectivity]
-        edge_node_y = self.node_y.values[edge_node_connectivity]
-        edge_node_z = self.node_z.values[edge_node_connectivity]
-
-        edges, _ = constant_lat_intersections(
-            lat, edge_node_x, edge_node_y, edge_node_z, self.n_edge
-        )
-        return edges
-
-    # def get_edges_at_constant_longitude(self, lon):
-    #     """TODO:"""
-    #     lon = np.deg2rad(lon)
-    #     edge_node_connectivity = self.edge_node_connectivity.values
-    #     edge_node_x = self.node_x.values[edge_node_connectivity]
-    #     edge_node_y = self.node_y.values[edge_node_connectivity]
-    #     edge_node_z = self.node_z.values[edge_node_connectivity]
-    #
-    #     edges, _ = constant_lon_intersections(
-    #         lon, edge_node_x, edge_node_y, edge_node_z, self.n_edge
-    #     )
-    #
-    #     return edges
+        edges = constant_lat_intersections(lat, self.edge_node_z.values, self.n_edge)
+        return edges.squeeze()
 
     def get_faces_at_constant_latitude(self, lat):
         """TODO:"""
@@ -1928,9 +1924,3 @@ def get_faces_at_constant_latitude(self, lat):
         faces = self.edge_face_connectivity[edges].data.ravel()
 
         return faces[faces != INT_FILL_VALUE]
-
-    # def get_faces_at_constant_longitude(self, lon):
-    #     """TODO:"""
-    #     lon = np.deg2rad(lon)
-    #     edges = self.get_edges_at_constant_longitude(lon)
-    #     return self.edge_face_connectivity[edges].data.ravel()
diff --git a/uxarray/grid/intersections.py b/uxarray/grid/intersections.py
index 76dfcb704..7ca8a07d9 100644
--- a/uxarray/grid/intersections.py
+++ b/uxarray/grid/intersections.py
@@ -1,5 +1,5 @@
 import numpy as np
-from uxarray.constants import MACHINE_EPSILON, ERROR_TOLERANCE, INT_DTYPE
+from uxarray.constants import MACHINE_EPSILON, ERROR_TOLERANCE
 from uxarray.grid.utils import _newton_raphson_solver_for_gca_constLat
 from uxarray.grid.arcs import point_within_gca, extreme_gca_latitude, in_between
 import platform
@@ -7,11 +7,11 @@
 from uxarray.utils.computing import cross_fma, allclose, dot, cross, norm
 
 
-from numba import njit
+from numba import njit, prange
 
 
-@njit
-def constant_lat_intersections(lat, edge_node_x, edge_node_y, edge_node_z, n_edge):
+@njit(parallel=True, nogil=True)
+def constant_lat_intersections(lat, edge_node_z, n_edge):
     """Determine which edges intersect a constant line of latitude on a sphere.
 
     Parameters
@@ -36,35 +36,29 @@ def constant_lat_intersections(lat, edge_node_x, edge_node_y, edge_node_z, n_edg
     """
     lat = np.deg2rad(lat)
 
-    intersecting_edges = []
-    intersection_points = []
+    # intersecting_edges = []
+    intersecting_edges_mask = np.zeros(n_edge, dtype=np.int32)
 
     # Calculate the constant z-value for the given latitude
     z_constant = np.sin(lat)
 
     # Iterate through each edge and check for intersections
-    for i in range(n_edge):
+    for i in prange(n_edge):
         # Get the z-coordinates of the edge's nodes
         z0 = edge_node_z[i, 0]
         z1 = edge_node_z[i, 1]
 
         # Check if the edge crosses the constant latitude plane
-        if (z0 - z_constant) * (z1 - z_constant) < 0:
-            # Calculate the intersection point using linear interpolation
-            t = (z_constant - z0) / (z1 - z0)
-            x_intersect = edge_node_x[i, 0] + t * (
-                edge_node_x[i, 1] - edge_node_x[i, 0]
-            )
-            y_intersect = edge_node_y[i, 0] + t * (
-                edge_node_y[i, 1] - edge_node_y[i, 0]
-            )
-            z_intersect = z_constant
+        # if (z0 - z_constant) * (z1 - z_constant) < 0:
+        #     intersecting_edges.append(i)
+        if (z0 - z_constant) * (z1 - z_constant) < 0.0:
+            intersecting_edges_mask[i] = 1
+
+    intersecting_edges = np.argwhere(intersecting_edges_mask)
 
-            # Append the intersecting edge index and intersection point
-            intersecting_edges.append(i)
-            intersection_points.append((x_intersect, y_intersect, z_intersect))
+    return intersecting_edges
 
-    return np.array(intersecting_edges, dtype=INT_DTYPE), np.array(intersection_points)
+    # return np.array(intersecting_edges, dtype=INT_DTYPE)
 
 
 # @njit

From 82e49eacbd97c2f185ac6a8a6d2134dc2009be51 Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Mon, 7 Oct 2024 11:07:00 -0500
Subject: [PATCH 05/25] update notebook

---
 docs/user-guide/cross-sections.ipynb | 1310 +++-----------------------
 uxarray/grid/grid.py                 |   15 +-
 uxarray/grid/intersections.py        |   22 +-
 3 files changed, 153 insertions(+), 1194 deletions(-)

diff --git a/docs/user-guide/cross-sections.ipynb b/docs/user-guide/cross-sections.ipynb
index e7e6f5ebc..ea258f5f7 100644
--- a/docs/user-guide/cross-sections.ipynb
+++ b/docs/user-guide/cross-sections.ipynb
@@ -14,8 +14,8 @@
    "id": "b35ba4a2c30750e4",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-10-04T14:54:06.168033Z",
-     "start_time": "2024-10-04T14:54:03.916424Z"
+     "end_time": "2024-10-05T15:19:46.812562Z",
+     "start_time": "2024-10-05T15:19:41.546324Z"
     }
    },
    "outputs": [
@@ -539,11 +539,11 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1002'>\n",
-       "  <div id=\"bc38e159-cbb9-46ea-89a3-79f37141a674\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"b598d6aa-0afb-43ab-aec3-fd43527d7b73\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"e76dba2b-60cc-4f0e-a9e9-6692c345ecb3\":{\"version\":\"3.4.2\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"p1002\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1003\",\"attributes\":{\"plot_id\":\"p1002\",\"comm_id\":\"ebbb6ccfc20246b6a850fec51fe03a88\",\"client_comm_id\":\"40b4b59176324aa6ba4732976df83a87\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
-       "  var render_items = [{\"docid\":\"e76dba2b-60cc-4f0e-a9e9-6692c345ecb3\",\"roots\":{\"p1002\":\"bc38e159-cbb9-46ea-89a3-79f37141a674\"},\"root_ids\":[\"p1002\"]}];\n",
+       "  var docs_json = {\"78070e08-bbce-4047-a10e-e67364ab249b\":{\"version\":\"3.4.2\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"p1002\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1003\",\"attributes\":{\"plot_id\":\"p1002\",\"comm_id\":\"d8f8e22fe9b44ee6b7a283e781007acc\",\"client_comm_id\":\"6e0084e740a44098a9abc0f60c91ae7b\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"78070e08-bbce-4047-a10e-e67364ab249b\",\"roots\":{\"p1002\":\"b598d6aa-0afb-43ab-aec3-fd43527d7b73\"},\"root_ids\":[\"p1002\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
@@ -621,9 +621,11 @@
    "source": [
     "import uxarray as ux\n",
     "import geoviews.feature as gf\n",
+    "\n",
     "import cartopy.crs as ccrs\n",
     "import geoviews as gv\n",
     "\n",
+    "\n",
     "projection = ccrs.Robinson()"
    ]
   },
@@ -639,1142 +641,104 @@
    "cell_type": "code",
    "execution_count": 2,
    "id": "b4160275c09fe6b0",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-10-05T15:21:17.331358Z",
+     "start_time": "2024-10-05T15:21:17.200324Z"
+    }
+   },
    "outputs": [
+    {
+     "data": {},
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
+      "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
-       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
-       "<defs>\n",
-       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
-       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
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-       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "</symbol>\n",
-       "</defs>\n",
-       "</svg>\n",
-       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
-       " *\n",
-       " */\n",
-       "\n",
-       ":root {\n",
-       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
-       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
-       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
-       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
-       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
-       "  --xr-background-color: var(--jp-layout-color0, white);\n",
-       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
-       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
-       "}\n",
-       "\n",
-       "html[theme=dark],\n",
-       "body[data-theme=dark],\n",
-       "body.vscode-dark {\n",
-       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
-       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
-       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
-       "  --xr-border-color: #1F1F1F;\n",
-       "  --xr-disabled-color: #515151;\n",
-       "  --xr-background-color: #111111;\n",
-       "  --xr-background-color-row-even: #111111;\n",
-       "  --xr-background-color-row-odd: #313131;\n",
-       "}\n",
-       "\n",
-       ".xr-wrap {\n",
-       "  display: block !important;\n",
-       "  min-width: 300px;\n",
-       "  max-width: 700px;\n",
-       "}\n",
-       "\n",
-       ".xr-text-repr-fallback {\n",
-       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-header {\n",
-       "  padding-top: 6px;\n",
-       "  padding-bottom: 6px;\n",
-       "  margin-bottom: 4px;\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-header > div,\n",
-       ".xr-header > ul {\n",
-       "  display: inline;\n",
-       "  margin-top: 0;\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type,\n",
-       ".xr-array-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-sections {\n",
-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: '►';\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: '▼';\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details {\n",
-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: '(';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: ')';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: ',';\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.UxDataset&gt; Size: 43kB\n",
-       "Dimensions:  (n_face: 5400)\n",
-       "Dimensions without coordinates: n_face\n",
-       "Data variables:\n",
-       "    psi      (n_face) float64 43kB ...</pre><div class='xr-wrap' style='display:none'><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
-       "<defs>\n",
-       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
-       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
-       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-       "</symbol>\n",
-       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
-       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
-       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
-       "</symbol>\n",
-       "</defs>\n",
-       "</svg>\n",
-       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
-       " *\n",
-       " */\n",
-       "\n",
-       ":root {\n",
-       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
-       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
-       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
-       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
-       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
-       "  --xr-background-color: var(--jp-layout-color0, white);\n",
-       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
-       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
-       "}\n",
-       "\n",
-       "html[theme=dark],\n",
-       "body[data-theme=dark],\n",
-       "body.vscode-dark {\n",
-       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
-       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
-       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
-       "  --xr-border-color: #1F1F1F;\n",
-       "  --xr-disabled-color: #515151;\n",
-       "  --xr-background-color: #111111;\n",
-       "  --xr-background-color-row-even: #111111;\n",
-       "  --xr-background-color-row-odd: #313131;\n",
-       "}\n",
-       "\n",
-       ".xr-wrap {\n",
-       "  display: block !important;\n",
-       "  min-width: 300px;\n",
-       "  max-width: 700px;\n",
-       "}\n",
-       "\n",
-       ".xr-text-repr-fallback {\n",
-       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-header {\n",
-       "  padding-top: 6px;\n",
-       "  padding-bottom: 6px;\n",
-       "  margin-bottom: 4px;\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\n",
-       "}\n",
-       "\n",
-       ".xr-header > div,\n",
-       ".xr-header > ul {\n",
-       "  display: inline;\n",
-       "  margin-top: 0;\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type,\n",
-       ".xr-array-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-obj-type {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-sections {\n",
-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: '►';\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: '▼';\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details {\n",
-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
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-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
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-       "\n",
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-       ".xr-array-preview {\n",
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-       "\n",
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-       "  padding: 0;\n",
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-       "  content: '(';\n",
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-       "\n",
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-       "  padding-right: 5px;\n",
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-       "\n",
-       ".xr-has-index {\n",
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-       "\n",
-       ".xr-var-list,\n",
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-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
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-       "  display: none;\n",
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-       "\n",
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-       "\n",
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-       "\n",
-       ".xr-icon-database,\n",
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-       ".xr-no-icon {\n",
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-       "  vertical-align: middle;\n",
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-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.UxDataset&gt; Size: 43kB\n",
-       "Dimensions:  (n_face: 5400)\n",
-       "Dimensions without coordinates: n_face\n",
-       "Data variables:\n",
-       "    psi      (n_face) float64 43kB ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>uxarray.UxDataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8e316a36-28b9-466d-ad8a-d9545bcdf2d5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8e316a36-28b9-466d-ad8a-d9545bcdf2d5' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>n_face</span>: 5400</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-47052071-3de4-4339-aca8-e62f83886548' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-47052071-3de4-4339-aca8-e62f83886548' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-fa257f9e-b794-4925-abb8-7285dfb1862c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fa257f9e-b794-4925-abb8-7285dfb1862c' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>psi</span></div><div class='xr-var-dims'>(n_face)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dab384f5-3d23-4c1d-b2c9-8afd72bd0d22' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dab384f5-3d23-4c1d-b2c9-8afd72bd0d22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a2a4100-b21a-4e7f-af5d-172f9851224a' class='xr-var-data-in' type='checkbox'><label for='data-7a2a4100-b21a-4e7f-af5d-172f9851224a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[5400 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1832e5b2-ccbc-442a-bebd-6587c550e8ca' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1832e5b2-ccbc-442a-bebd-6587c550e8ca' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-af2f28b6-b7a1-4d9f-ba01-c481965fdef6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-af2f28b6-b7a1-4d9f-ba01-c481965fdef6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div><details><summary>Show Grid Information</summary><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
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-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;uxarray.Grid&gt;\n",
-       "Original Grid Type: UGRID\n",
-       "Grid Dimensions:\n",
-       "  * n_node: 5402\n",
-       "  * n_face: 5400\n",
-       "  * n_max_face_nodes: 4\n",
-       "  * n_nodes_per_face: (5400,)\n",
-       "Grid Coordinates (Spherical):\n",
-       "  * node_lon: (5402,)\n",
-       "  * node_lat: (5402,)\n",
-       "Grid Coordinates (Cartesian):\n",
-       "Grid Connectivity Variables:\n",
-       "  * face_node_connectivity: (5400, 4)\n",
-       "Grid Descriptor Variables:\n",
-       "  * n_nodes_per_face: (5400,)\n",
-       "</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>uxarray.UxDataset.uxgrid</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-94244bfb-65de-45a5-8659-f88ce3f4cd39' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-94244bfb-65de-45a5-8659-f88ce3f4cd39' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>n_face</span>: 5400</li><li><span>n_max_face_nodes</span>: 4</li><li><span>n_node</span>: 5402</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a4d11db1-7dea-4bab-9481-a034577907f0' class='xr-section-summary-in' type='checkbox'  ><label for='section-a4d11db1-7dea-4bab-9481-a034577907f0' class='xr-section-summary' >Spherical Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>node_lon</span></div><div class='xr-var-dims'>(n_node)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-45.0 45.0 135.0 ... 138.0 135.0</div><input id='attrs-6f59144e-1066-49d5-9c96-c1a1c447144e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f59144e-1066-49d5-9c96-c1a1c447144e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f2e2940-52b1-4ec8-a0c7-5af81a8521c0' class='xr-var-data-in' type='checkbox'><label for='data-2f2e2940-52b1-4ec8-a0c7-5af81a8521c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude of 2D mesh nodes</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-45.        ,  45.        , 135.        , ..., 141.09968961,\n",
-       "       138.03317102, 135.        ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>node_lat</span></div><div class='xr-var-dims'>(n_node)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-99527daf-2c78-4fcb-85c4-c40fdb38b2ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99527daf-2c78-4fcb-85c4-c40fdb38b2ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5539948d-5f86-4927-8fa9-97635f303c5c' class='xr-var-data-in' type='checkbox'><label for='data-5539948d-5f86-4927-8fa9-97635f303c5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude of 2D mesh nodes</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[5402 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4f8e9a41-b8d5-4a0b-8b95-7e21b563382b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4f8e9a41-b8d5-4a0b-8b95-7e21b563382b' class='xr-section-summary'  title='Expand/collapse section'>Cartesian Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-cce0bc28-ca55-4e9c-aaa5-569cb7a49b35' class='xr-section-summary-in' type='checkbox'  ><label for='section-cce0bc28-ca55-4e9c-aaa5-569cb7a49b35' class='xr-section-summary' >Connectivity: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>face_node_connectivity</span></div><div class='xr-var-dims'>(n_face, n_max_face_nodes)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 8 356 124 8 ... 5401 297 6 298</div><input id='attrs-5092f401-8880-4fbc-97a4-9139ae1bae0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5092f401-8880-4fbc-97a4-9139ae1bae0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c79eff52-c864-4112-ba2d-3aef4b5f4c76' class='xr-var-data-in' type='checkbox'><label for='data-c79eff52-c864-4112-ba2d-3aef4b5f4c76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cf_role :</span></dt><dd>face_node_connectivity</dd><dt><span>start_index :</span></dt><dd>0</dd><dt><span>_FillValue :</span></dt><dd>-9223372036854775808</dd></dl></div><div class='xr-var-data'><pre>array([[   0,    8,  356,  124],\n",
-       "       [   8,    9,  357,  356],\n",
-       "       [   9,   10,  358,  357],\n",
-       "       ...,\n",
-       "       [5399, 5400,  299,  300],\n",
-       "       [5400, 5401,  298,  299],\n",
-       "       [5401,  297,    6,  298]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2fba6717-a154-4081-b2a0-899049b74f4a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2fba6717-a154-4081-b2a0-899049b74f4a' class='xr-section-summary'  title='Expand/collapse section'>Descriptors: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-109ab959-040e-4b99-9fde-f4d7e78ec334' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-109ab959-040e-4b99-9fde-f4d7e78ec334' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></details></div></div>"
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+       "  <div id=\"a38ab018-4810-4b1b-bb38-258c7b3dce52\" data-root-id=\"p1011\" style=\"display: contents;\"></div>\n",
+       "</div>\n",
+       "<script type=\"application/javascript\">(function(root) {\n",
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fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"f700c420-516a-4f59-b8b9-84eaab49fe09\",\"roots\":{\"p1011\":\"a38ab018-4810-4b1b-bb38-258c7b3dce52\"},\"root_ids\":[\"p1011\"]}];\n",
+       "  var docs = Object.values(docs_json)\n",
+       "  if (!docs) {\n",
+       "    return\n",
+       "  }\n",
+       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
+       "  async function embed_document(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    for (const render_item of render_items) {\n",
+       "      for (const root_id of render_item.root_ids) {\n",
+       "\tconst id_el = document.getElementById(root_id)\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
+       "\t  const root_el = id_el.children[0]\n",
+       "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
+       "\t}\n",
+       "      }\n",
+       "    }\n",
+       "  }\n",
+       "  function get_bokeh(root) {\n",
+       "    if (root.Bokeh === undefined) {\n",
+       "      return null\n",
+       "    } else if (root.Bokeh.version !== py_version) {\n",
+       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
+       "\treturn null\n",
+       "      }\n",
+       "      return root.Bokeh.versions.get(py_version);\n",
+       "    } else if (root.Bokeh.version === py_version) {\n",
+       "      return root.Bokeh\n",
+       "    }\n",
+       "    return null\n",
+       "  }\n",
+       "  function is_loaded(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
+       "  }\n",
+       "  if (is_loaded(root)) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (is_loaded(root)) {\n",
+       "        clearInterval(timer);\n",
+       "        embed_document(root);\n",
+       "      } else if (document.readyState == \"complete\") {\n",
+       "        attempts++;\n",
+       "        if (attempts > 200) {\n",
+       "          clearInterval(timer);\n",
+       "\t  var Bokeh = get_bokeh(root)\n",
+       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
+       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
+       "\t  } else {\n",
+       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
+       "\t    embed_document(root)\n",
+       "\t  }\n",
+       "        }\n",
+       "      }\n",
+       "    }, 25, root)\n",
+       "  }\n",
+       "})(window);</script>"
       ],
       "text/plain": [
-       "<xarray.UxDataset> Size: 43kB\n",
-       "Dimensions:  (n_face: 5400)\n",
-       "Dimensions without coordinates: n_face\n",
-       "Data variables:\n",
-       "    psi      (n_face) float64 43kB ..."
+       ":DynamicMap   []\n",
+       "   :Image   [Longitude,Latitude]   (Longitude_Latitude psi)"
       ]
      },
      "execution_count": 2,
-     "metadata": {},
+     "metadata": {
+      "application/vnd.holoviews_exec.v0+json": {
+       "id": "p1011"
+      }
+     },
      "output_type": "execute_result"
     }
    ],
@@ -1784,18 +748,7 @@
     "data_path = base_path + \"outCSne30_vortex.nc\"\n",
     "\n",
     "uxds = ux.open_dataset(grid_path, data_path)\n",
-    "\n",
-    "uxds"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "350df379-f496-46b7-ab86-5a2e630e3cea",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "uxds.uxgrid.normalize_cartesian_coordinates()"
+    "uxds[\"psi\"].plot(cmap=\"inferno\", periodic_elements=\"split\", projection=projection)"
    ]
   },
   {
@@ -1808,41 +761,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "id": "9facc02e-e4d4-4be3-9473-1a47e512c274",
+   "execution_count": 14,
+   "id": "3775daa1-2f1d-4738-bab5-2b69ebd689d9",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "CPU times: user 5.89 ms, sys: 2.29 ms, total: 8.18 ms\n",
-      "Wall time: 6.02 ms\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "%%time\n",
-    "lat = 1.0\n",
+    "lat = 30\n",
     "\n",
     "uxda_constant_lat = uxds[\"psi\"].constant_latitude_cross_section(lat)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "id": "bb5132fc-0d49-4484-95d4-8197c955a954",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "constant_lat_line = gv.Path([(-180, lat), (180, lat)]).opts(\n",
-    "    projection=projection, color=\"grey\", line_width=2, alpha=0.5\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 17,
    "id": "484b77a6-86da-4395-9e63-f5ac56e37deb",
    "metadata": {},
    "outputs": [
@@ -1855,12 +786,12 @@
      "data": {
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
-       "<div id='p1971'>\n",
-       "  <div id=\"b9fda20b-94df-4788-9907-68243fe857e0\" data-root-id=\"p1971\" style=\"display: contents;\"></div>\n",
+       "<div id='p4894'>\n",
+       "  <div id=\"e5e3de37-8428-405b-b485-53df4172bf57\" data-root-id=\"p4894\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"da3fd977-4e44-4efe-80df-1d92c88c677f\":{\"version\":\"3.4.2\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1971\",\"attributes\":{\"name\":\"Row02198\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 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wcOx5ba2tB30VDPzZVa0Grb0tgET9rQYCZU4HsKGtBm9FSzsgSa0Fy+1rvo/xqQUUlYxB/5mpBF09rMVrQakHneHNSNbpqQbqie3MQpGpB1tp6wOyNakGqBIPhx3dqQX4uiwKjYWpBTliTI35LakFpkJJwWjVqQTy6mpE1H2pBEOSishAJakHlDavT6/JpQfT2qW7K8mlBtjez9MbcaUHQb7JBo8ZpQaKZumJ+sGlBdsPCg1maaUFH7cqkNIRpQRoX08UPbmlBNk/SEuxXaUEJedozx0FpQdyi4lSiK2lBrczqdX0VaUHHBOrCWf9oQZ0u8uM06WhBb1j6BBDTaEFCggIm67xoQROsCkfGpmhBL+QJlKKQaEEBDhK1fXpoQdY3GtZYZGhBpmEi9zNOaEF6iyoYDzhoQZTDKWXrIWhBae0xhsYLaEE8FzqnofVnQQ1BQsh832dB4GpK6VfJZ0H6okk2NLNnQc3MUVcPnWdBpfZZeOqGZ0F4IGKZxXBnQUZKarqgWmdBYIJpB31EZ0E1rHEoWC5nQQvWeUkzGGdB3v+Bag4CZ0GxKYqL6etmQcdhidjF1WZBmouR+aC/ZkFvtZkafKlmQUXfoTtXk2ZBFwmqXDJ9ZkEtQampDmdmQQNrscrpUGZB15S568Q6ZkGpvsEMoCRmQX7oyS17DmZBliDJelf4ZUFpStGbMuJlQTx02bwNzGVBEZ7h3ei1ZUEo1uAqxZ9lQfz/6EugiWVBzynxbHtzZUGjU/mNVl1lQXV9Aa8xR2VBjrUA/A0xZUFi3wgd6RplQTUJET7EBGVBCTMZX5/uZEHdXCGAethkQfSUIM1WwmRBmZoNwDfCZEHIvijuMaxkQZzoMA8NlmRBbxI5MOh/ZEFFPEFRw2lkQVt0QJ6fU2RBLp5Iv3o9ZEECyFDgVSdkQdXxWAExEWRBphthIgz7Y0HAU2Bv6ORjQZR9aJDDzmNBaKdwsZ64Y0E/0XjSeaJjQRH7gPNUjGNBLTOAQDF2Y0H6XIhhDGBjQc2GkILnSWNBpLCYo8IzY0Fy2qDEnR1jQY0SoBF6B2NBYTyoMlXxYkE0ZrBTMNtiQQqQuHQLxWJBJci3weeuYkH48b/iwphiQckbyAOegmJBnUXQJHlsYkFwb9hFVFZiQUSZ4GYvQGJBEsPohwoqYkEs++fU5hNiQQMl8PXB/WFB1k74Fp3nYUHyhvdjedFhQcGw/4RUu2FBltoHpi+lYUFoBBDHCo9hQTwuGOjleGFBV2YXNcJiYUEokB9WnUxhQfu5J3d4NmFBz+MvmFMgYUGiDTi5LgphQXU3QNoJ9GBBjm8/J+bdYEFimUdIwcdgQTXDT2mcsWBBCe1XinebYEEhJVfXU4VgQfROX/gub2BBx3hnGQpZYEGcom865UJgQW7Md1vALGBBhwR3qJwWYEFbLn/JdwBgQVuwDtWl1F9BAgQfF1yoX0GwVy9ZEnxfQePHLfPKT19BgBs+NYEjX0FrfOIiSiNfQSlvTnc3915BzcJeue3KXkF2Fm/7o55eQaWGbZVccl5BTNp91xJGXkHzLY4ZyRleQZuBnlt/7V1B1vGc9TfBXUF9Ra037pRdQSSZvXmkaF1BxOzNu1o8XUFtQN79EBBdQROU7j/H41xBPQTt2X+3XEHmV/0bNotcQYyrDV7sXlxBOP8doKIyXEFubxw6WwZcQRXDLHwR2ltBtRY9vsetW0Feak0AfoFbQQW+XUI0VVtBqxFuhOooW0HigWweo/xaQXvVfGBZ0FpBKSmNog+kWkHQfJ3kxXdaQQftm35+S1pBqECswDQfWkFPlLwC6/JZQfbnzEShxllBnjvdhleaWUHXq9sgEG5ZQXT/62LGQVlBG1P8pHwVWUHDpgznMulYQWr6HCnpvFhBnWobw6GQWEFAvisFWGRYQecRPEcOOFhBjmVMicQLWEHE1Uojfd9XQXApW2Uzs1dBF31rp+mGV0Gz0Hvpn1pXQVokjCtWLldBAXicbQwCV0Ex6JoHxdVWQdk7q0l7qVZBf4+7izF9VkEm48vN51BWQWJTymegJFZBCKfaqVb4VUGw+urrDMxVQVdO+y3Dn1VB8qELcHlzVUGf9RuyL0dVQdRlGkzoGlVBcLkqjp7uVEEYDTvQVMJUQbPDqcUkwlRBv2BLEguWVEH50Emsw2lUQaEkWu55PVRBSHhqMDARVEHpy3py5uRTQZAfi7ScuFNBOHOb9lKMU0Ft45mQC2BTQRQ3qtLBM1NBsYq6FHgHU0Fd3spWLttSQZJOyfDmrlJBOaLZMp2CUkHb9el0U1ZSQYFJ+rYJKlJBKZ0K+b/9UUFfDQmTeNFRQQVhGdUupVFBqLQpF+V4UUFOCDpZm0xRQfVbSptRIFFBK8xINQr0UEHRH1l3wMdQQXNzabl2m1BBG8d5+yxvUEFQN3iV5UJQQfeKiNebFlBBR70xM6TUT0GUZFK3EHxPQcwLczt9I09BG7OTv+nKTkGGk5DzWnJOQck6sXfHGU5BFuLR+zPBTUFmifJ/oGhNQdBp77MREE1BKREQOH63TEF4uDC86l5MQcdfUUBXBkxBFAdyxMOtS0FLrpJIMFVLQcKOj3yh/EpB+zWwAA6kSkFI3dCEektKQZeE8Qjn8klBDWXuPFiaSUFaDA/BxEFJQamzL0Ux6UhB9lpQyZ2QSEE5AnFNCjhIQYipkdF230dB8omOBeiGR0FBMa+JVC5HQY7Yzw3B1UZBx3/wkS19RkE9YO3FniRGQYwHDkoLzEVB2a4uzndzRUEcVk9S5BpFQYY2TIZVwkRB+BXi0P7BREHV3WwKwmlEQSOFjY4uEURBbCyuEpu4Q0G6086WB2BDQQN77xp0B0NBblvsTuWuQkG2Ag3TUVZCQQSqLVe+/UFBUlFO2yqlQUG4MUsPnExBQQXZa5MI9EBBToCMF3WbQEGdJ62b4UJAQdWdmz+c1D9BZuzcR3UjP0E9rdavV3I+Qc37F7gwwT1BakpZwAkQPUH7mJrI4l48QdFZlDDFrTtBYqjVOJ78OkH/9hZBd0s6QZtFWElQmjlBKpSZUSnpOEHH4tpZAjg4QZOj1MHkhjdBUPIVyr3VNkHLQFfSliQ2QX6PmNpvczVBUlCSQlLCNEHkntNKKxE0QYHtFFMEYDNBHDxWW92uMkGuipdjtv0xQYVLkcuYTDFBFprS03GbMEFk0Se4ldQvQYVuqshHci5Bvwst2fkPLUFUjSCpvq0rQYsqo7lwSypBxMclyiLpKEHnZKja1IYnQZTmm6qZJCZBtYMeu0vCJEHtIKHL/V8jQSa+I9yv/SFBSFum7GGbIEEA8VH6J3IeQS30OJqxrRtBnS4+uxXpGEHiaEPceSQWQVOjSP3dXxNBf6YvnWebEEHgwWl8l60LQcA2dL5fJAZBSat+ACibAEFSQBKF4CP2QClUThLiIuZAbo1NMs8dGsAp+OHWY/piwOi+T+avJebAv9KLc7Ek9sB/dLt3kJsAwfb/sDXIJAbBRPni9bStC8HYQexZdpsQwe0H5zgSYBPBqc3hF64kFsG0ktz2SekYwchY19XlrRvBF1XwNVxyHsFTjXUKfJsgwXPw8vnJ/SHBAOG3iQ5gI8Gj0XwZU8IkwSk0+gihJCbB8ZZ3+O6GJ8HJwBg4OOkowV3quXeBSyrBfE03Z8+tK8ECsLRWHRAtwZCgeeZhci7BZsoaJqvUL8H++d0yepswwemOrtKeTDHBtCN/csP9McEj1T1q6q4ywWlNILIMYDPBzf7eqTMRNMG5k69JWMI0wYIogOl8czXB8tk+4aMkNsE4UiEpxtU2wacD4CDthjfBDLWeGBQ4OMFRLYFgNuk4wRzCUQBbmjnBCFcioH9LOsF3COGXpvw6wWKdsTfLrTvBLTKC1+9ePMGQ40DPFhA9wfSU/8Y9wT3BRg3iDmByPsEworKuhCM/wfs2g06p1D/B4uUp9+ZCQMFZMBJHeZtAwQuJ8cIM9EDBcNPZEp9MQcHmHcJiMaVBwUtoqrLD/UHBwbKSAlZWQsEm/XpS6K5CwZtHY6J6B0PBTaBCHg5gQ8Gy6ipuoLhDwSg1E74yEUTBjX/7DcVpRMEDyuNdV8JEwQfNAKSWwkTBtiLD2eoaRcEabaspfXNFwY+3k3kPzEXB9QF8yaEkRsFrTGQZNH1GwRylQ5XH1UbBgu8r5VkuR8HmORQ17IZHwVyE/IR+30fB0s7k1BA4SMF0J8RQpJBIwelxrKA26UjBT7yU8MhBScHEBn1AW5pJwSlRZZDt8knBn5tN4H9LSsEE5jUwEqRKwbU+Fayl/ErBLYn9+zdVS8GS0+VLyq1LwQcezptcBkzBbWi26+5eTMEewZVngrdMwZQLfrcUEE3B+lVmB6doTcFvoE5XOcFNwdPqNqfLGU7BhkMWI19yTsHqjf5y8cpOwWHY5sKDI0/BxiLPEhZ8T8E7bbdiqNRPwdDbT1mdFlDBCwFEgeZCUMFkrTM/MG9QwZfSJ2d5m1DB0fcbj8LHUMEEHRC3C/RQwT9CBN9UIFHBmu7znJ5MUcHKE+jE53hRwQU53OwwpVHBN17QFHrRUcFzg8Q8w/1Rwc8vtPoMKlLBAVWoIlZWUsEwepxKn4JSwWufkHLorlLBp8SEmjHbUsECcXRYewdTwTWWaIDEM1PBZ7tcqA1gU8Gg4FDQVoxTwdMFRfifuFPBDSs5IOnkU8FAUC1IMhFUwZz8HAZ8PVTB1iERLsVpVMEGRwVWDpZUwUBs+X1XwlTBOx85r3DCVMFzke2loO5Uwc893WPqGlXBCWPRizNHVcE8iMWzfHNVwXatudvFn1XBp9KtAw/MVcEDf53BWPhVwT2kkemhJFbBb8mFEetQVsGs7nk5NH1Wwd0TbmF9qVbBNsBdH8fVVsFy5VFHEAJXwaMKRm9ZLlfB3y86l6JaV8ESVS6/64ZXwUV6Iuc0s1fBfp8WD37fV8HYSwbNxwtYwRJx+vQQOFjBRZbuHFpkWMF4u+JEo5BYwbPg1mzsvFjBDI3GKjbpWME+srpSfxVZwXnXrnrIQVnBq/yiohFuWcHnIZfKWppZwT/OhoikxlnBcvN6sO3yWcGtGG/YNh9awd89YwCAS1rBG2NXKMl3WsF1D0fmEqRawaU0Ow5c0FrB2VkvNqX8WsEVfyNe7ihbwU6kF4Y3VVvBnlAHRIGBW8HZdftryq1bwQub75MT2lvBR8Dju1wGXMF75dfjpTJcwbQKzAvvXlzB8C/AMziLXME/3K/xgbdcwXsBpBnL41zBriaYQRQQXcHqS4xpXTxdwRpxgJGmaF3BdR1wT/CUXcGuQmR3OcFdweJnWJ+C7V3BHI1Mx8sZXsFOskDvFEZewapeMK1ecl7B5YMk1aeeXsEUqRj98MpewVDODCU6917BgvMATYMjX8Hy13EMliNfwbQY9XTMT1/B8D3pnBV8X8FN6thaX6hfwXwPzYKo1F/BXJpg1XgAYMH0rFppnRZgwZK/VP3BLGDBwJVM3OZCYMFZqEZwC1lgwfa6QAQwb2DBj806mFSFYMEs4DQseZtgwVq2LAuesWDB88gmn8LHYMGR2yAz591gwSnuGscL9GDByAAVWzAKYcHz1gw6VSBhwY3pBs55NmHBKvwAYp5MYcHCDvv1wmJhwWEh9YnneGHB+TPvHQyPYcGXRumxMKVhwcUc4ZBVu2HBXS/bJHrRYcH2QdW4nudhwZRUz0zD/WHBLGfJ4OcTYsFaPcG/DCpiwfhPu1MxQGLBkGK151VWYsEuda97emxiwceHqQ+fgmLB9F2h7sOYYsGRcJuC6K5iwSuDlRYNxWLByJWPqjHbYsFiqIk+VvFiwf+6g9J6B2PBmM19Zp8dY8HFo3VFxDNjwWK2b9noSWPB+8hpbQ1gY8GY22MBMnZjwTLuXZVWjGPBX8RVdHuiY8H41k8IoLhjwZXpSZzEzmPBM/xDMOnkY8HLDj7EDftjwfnkNaMyEWTBkvcvN1cnZMEwCirLez1kwcgcJF+gU2TBZy8e88RpZMGTBRbS6X9kwSwYEGYOlmTByioK+jKsZMFiPQSOV8JkwVpI1bRdwmTB/0/+IXzYZMGaYvi1oO5kwTd18knFBGXBZEvqKOoaZcH9XeS8DjFlwZpw3lAzR2XBNIPY5FddZcHRldJ4fHNlwf1rylehiWXBl37E68WfZcE0kb5/6rVlwc2juBMPzGXBZ7aypzPiZcGXjKqGWPhlwTGfpBp9DmbByrGerqEkZsFoxJhCxjpmwQHXktbqUGbBL62KtQ9nZsHKv4RJNH1mwWTSft1Yk2bBAuV4cX2pZsGb93IFor9mwTcKbZnG1WbB0RxnLevrZsH+8l4MEAJnwZwFWaA0GGfBNRhTNFkuZ8HRKk3IfURnwWo9R1yiWmfBmBM/O8dwZ8E1JjnP64Znwc84M2MQnWfBa0st9zSzZ8EEXieLWclnwTI0H2p+32fB0UYZ/qL1Z8FpWROSxwtowQJsDSbsIWjBnn4HuhA4aMHNVP+YNU5owWln+SxaZGjBBHrzwH56aMGbjO1Uo5BowTqf5+jHpmjB0rHhfOy8aMFxxNsQEdNowZya0+816WjBN63Ng1r/aMHTv8cXfxVpwW3SwaujK2nBC+W7P8hBacE3u7Me7Vdpwc/NrbIRbmnBbuCnRjaEacEG86HaWpppwaUFnG5/sGnB0duTTaTGacFq7o3hyNxpwQgBiHXt8mnBuKRxY/DyacGhE4IJEglqwT8mfJ02H2rBZ/xzfFs1asEDD24QgEtqwaIhaKSkYWrBOzRiOMl3asHTRlzM7Y1qwXJZVmASpGrBC2xQ9Da6asE3QkjTW9BqwddUQmeA5mrBbmc8+6T8asEMejaPyRJrwaWMMCPuKGvB0WIoAhM/a8FwdSKWN1VrwQqIHCpca2vBpJoWvoCBa8E/rRBSpZdrwWuDCDHKrWvBBJYCxe7Da8GkqPxYE9prwT279uw38GvB2c3wgFwGbMEHpOhfgRxswZ624vOlMmzBPcnch8pIbMHY29Yb715swXPu0K8TdWzBDAHLQziLbMGpE8XXXKFswdfpvLaBt2zBcPy2SqbNbMEND7HeyuNswaYhq3Lv+WzBRTSlBhQQbcFwCp3lOCZtwQodl3ldPG3BqC+RDYJSbcFAQouhpmhtwd9UhTXLfm3BCit9FPCUbcGkPXeoFKttwUBQcTw5wW3B22Jr0F3XbcFzdWVkgu1twaVLXUOnA27BPl5X18sZbsHccFFr8C9uwXWDS/8URm7BDJZFkzlcbsGsqD8nXnJuwUW7ObuCiG7BdpExmqeebsEPpCsuzLRuwaa2JcLwym7BRskfVhXhbsHd2xnqOfduwXzuE35eDW/BaWl5y4Ijb8HHu5PMgiNvwQ==\"},\"shape\":[734],\"dtype\":\"float64\",\"order\":\"little\"},{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[733],\"dtype\":\"float64\",\"order\":\"little\"},{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[733],\"dtype\":\"float64\",\"order\":\"little\"},{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"TRlZkXgjb0E3lmqsUiNvQecbsOlTDW9BbRYlEi/3bkHqEJo6CuFuQSW1BY/mym5Bqa96t8G0bkEoqu/fnJ5uQaikZAh4iG5BLZ/ZMFNybkGqmU5ZLlxuQeE9uq0KRm5Bajgv1uUvbkHnMqT+wBluQWYtGSecA25Bn9GEe3jtbUEfzPmjU9dtQaLGbswuwW1BJcHj9AmrbUGou1gd5ZRtQd9fxHHBfm1BXVo5mpxobUHgVK7Cd1JtQWNPI+tSPG1B5UmYEy4mbUEY7gNoChBtQZzoeJDl+WxBHePtuMDjbEGg3WLhm81sQdmBzjV4t2xBVnxDXlOhbEHZdriGLotsQVpxLa8JdWxB3mui1+RebEEVEA4swUhsQZIKg1ScMmxBFQX4fHccbEGY/2ylUgZsQR364c0t8GtBVZ5NIgraa0HWmMJK5cNrQVOTN3PArWtB1o2sm5uXa0FZiCHEdoFrQY8sjRhTa2tBFCcCQS5Va0GRIXdpCT9rQRMc7JHkKGtBlhZhur8Sa0HPuswOnPxqQVK1QTd35mpB1a+2X1LQakFSqiuILbpqQdSkoLAIpGpBWJ8V2eONakGOQ4EtwHdqQQ4+9lWbYWpBkzhrfnZLakEVM+CmUTVqQUnXS/stH2pBzNHAIwkJakFMzDVM5PJpQTg+SbvB8mlBz8aqdL/caUFTwR+dmsZpQYdli/F2sGlBCmAAGlKaaUGJWnVCLYRpQQ1V6moIbmlBj09fk+NXaUHF88rnv0FpQUXuPxCbK2lByOi0OHYVaUFK4ylhUf9oQYCHlbUt6WhBAYIK3gjTaEGBfH8G5LxoQQV39C6/pmhBiHFpV5qQaEG+FdWrdnpoQUIQStRRZGhBwAq//CxOaEFCBTQlCDhoQcX/qE3jIWhB+6MUor8LaEGBnonKmvVnQf2Y/vJ132dBgJNzG1HJZ0EDjuhDLLNnQTkyVJgInWdBvSzJwOOGZ0FBJz7pvnBnQb4hsxGaWmdBQBwoOnVEZ0F5wJOOUS5nQfu6CLcsGGdBfrV93wcCZ0H7r/IH4+tmQX6qZzC+1WZBtk7ThJq/ZkE5SUitdalmQbxDvdVQk2ZBPD4y/it9ZkG8OKcmB2dmQfTcEnvjUGZBdteHo746ZkH50fzLmSRmQXnMcfR0DmZB/MbmHFD4ZUEwa1JxLOJlQbRlx5kHzGVBN2A8wuK1ZUG3WrHqvZ9lQez+HD+aiWVBb/mRZ3VzZUHx8waQUF1lQXHue7grR2VB9ejw4AYxZUEpjVw14xplQauH0V2+BGVBL4JGhpnuZEGvfLuudNhkQTF3MNdPwmRBOeYnyjDCZEFnG5wrLKxkQekVEVQHlmRBbxCGfOJ/ZEHzCvukvWlkQXAFcM2YU2RBpanbIXU9ZEEnpFBKUCdkQaeexXIrEWRBKpk6mwb7Y0Gsk6/D4eRjQeI3Gxi+zmNBZTKQQJm4Y0HqLAVpdKJjQW0nepFPjGNB8CHvuSp2Y0EfxloOB2BjQaXAzzbiSWNBKLtEX70zY0GltbmHmB1jQSiwLrBzB2NBXlSaBFDxYkHjTg8tK9tiQWVJhFUGxWJB6EP5feGuYkEb6GTSvZhiQZ3i2fqYgmJBIN1OI3RsYkGk18NLT1ZiQSXSOHQqQGJBo8ytnAUqYkElxyLF4BNiQV5rjhm9/WFB4WUDQpjnYUFkYHhqc9FhQZYE5L5Pu2FBGP9Y5yqlYUGb+c0PBo9hQR70QjjheGFBoe63YLxiYUHTkiO1mExhQVaNmN1zNmFB2YcNBk8gYUFbgoIuKgphQdt891YF9GBBXndsf+DdYEGTG9jTvMdgQRcWTfyXsWBBnBDCJHObYEEaCzdNToVgQU6voqEqb2BB0akXygVZYEFUpIzy4EJgQdeeARu8LGBBV5l2Q5cWYEGLPeKXcwBgQR1wroCd1F9BI2WY0VOoX0EvWoIiCnxfQTNPbHPAT19BlJdDHHkjX0FhHA2yPyNfQZeMLW0v915BooEXvuXKXkGedgEPnJ5eQaJr619Scl5BDrTCCAtGXkEVqaxZwRleQR+elqp37V1BJJOA+y3BXUGP21ek5pRdQY3QQfWcaF1BjcUrRlM8XUGauhWXCRBdQaCv/+e/41xBmqTpOHa3XEEF7cDhLotcQQ/iqjLlXlxBFNeUg5syXEEazH7UUQZcQX8UVn0K2ltBhQlAzsCtW0GL/ikfd4FbQZDzE3AtVVtBlOj9wOMoW0Gb3ecRmvxaQfklv7pS0FpBBRupCwmkWkEMEJNcv3daQRAFfa11S1pBdU1UVi4fWkF7Qj6n5PJZQYA3KPiaxllBhiwSSVGaWUGRIfyZB25ZQfFp00LAQVlB9169k3YVWUH8U6fkLOlYQQBJkTXjvFhBBj57hpmQWEFshlIvUmRYQXF7PIAIOFhBd3Am0b4LWEF8ZRAidd9XQeyt58ots1dB8qLRG+SGV0Hsl7tsmlpXQfKMpb1QLldB/IGPDgcCV0H2dnlfvdVWQWO/UAh2qVZBZ7Q6WSx9VkFtqSSq4lBWQXeeDvuYJFZB4+blo1H4VUHo28/0B8xVQejQuUW+n1VB6MWjlnRzVUHzuo3nKkdVQfivdzjhGlVBWPhO4ZnuVEFd7TgyUMJUQWFsys8dwlRBaOIigwaWVEFu1wzUvGlUQdof5Hx1PVRB2BTOzSsRVEHfCbge4uRTQeP+oW+YuFNB6fOLwE6MU0Hv6HURBWBTQVMxTbq9M1NBUyY3C3QHU0FfGyFcKttSQWQQC63grlJB0FjiVZmCUkHPTcymT1ZSQdRCtvcFKlJB2jegSLz9UUHfLIqZctFRQUV1YUIrpVFBSWpLk+F4UUFQXzXkl0xRQVVUHzVOIFFBW0kJhgT0UEHAkeAuvc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\"},\"shape\":[183],\"dtype\":\"float64\",\"order\":\"little\"}]]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p5034\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p5035\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"MultiLine\",\"id\":\"p5030\",\"attributes\":{\"xs\":{\"type\":\"field\",\"field\":\"xs\"},\"ys\":{\"type\":\"field\",\"field\":\"ys\"}}},\"selection_glyph\":{\"type\":\"object\",\"name\":\"MultiLine\",\"id\":\"p5036\",\"attributes\":{\"xs\":{\"type\":\"field\",\"field\":\"xs\"},\"ys\":{\"type\":\"field\",\"field\":\"ys\"},\"line_color\":{\"type\":\"value\",\"value\":\"black\"},\"line_alpha\":{\"type\":\"value\",\"value\":1.0},\"line_width\":{\"type\":\"value\",\"value\":1},\"line_join\":{\"type\":\"value\",\"value\":\"bevel\"},\"line_cap\":{\"type\":\"value\",\"value\":\"butt\"},\"line_dash\":{\"type\":\"value\",\"value\":[]},\"line_dash_offset\":{\"type\":\"value\",\"value\":0}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"MultiLine\",\"id\":\"p5031\",\"attributes\":{\"xs\":{\"type\":\"field\",\"field\":\"xs\"},\"ys\":{\"type\":\"field\",\"field\":\"ys\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"MultiLine\",\"id\":\"p5032\",\"attributes\":{\"xs\":{\"type\":\"field\",\"field\":\"xs\"},\"ys\":{\"type\":\"field\",\"field\":\"ys\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p4961\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p4915\",\"attributes\":{\"renderers\":\"auto\",\"zoom_on_axis\":false}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p4921\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p4916\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}},\"match_aspect\":true}},{\"type\":\"object\",\"name\":\"HoverTool\",\"id\":\"p4927\",\"attributes\":{\"tags\":[\"hv_created\"],\"renderers\":[{\"id\":\"p4989\"}],\"tooltips\":[[\"psi\",\"@{psi}\"]]}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p4974\"},{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p4975\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p4976\"}],\"active_drag\":{\"id\":\"p4975\"}}},\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p4969\",\"attributes\":{\"visible\":false,\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p4970\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p4971\"},\"axis_label\":\"Latitude\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p4972\"}}}],\"right\":[{\"type\":\"object\",\"name\":\"ColorBar\",\"id\":\"p4993\",\"attributes\":{\"location\":[0,0],\"title\":\"psi\",\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p4992\",\"attributes\":{\"mantissas\":[1,2,5]}},\"major_label_policy\":{\"type\":\"object\",\"name\":\"NoOverlap\",\"id\":\"p4994\"},\"label_standoff\":8,\"major_tick_line_color\":\"black\",\"bar_line_color\":\"black\",\"color_mapper\":{\"id\":\"p4977\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p4964\",\"attributes\":{\"visible\":false,\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p4965\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p4966\"},\"axis_label\":\"Longitude\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p4967\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p4968\",\"attributes\":{\"axis\":{\"id\":\"p4964\"},\"grid_line_color\":null}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p4973\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p4969\"},\"grid_line_color\":null}}],\"frame_width\":591,\"frame_height\":300,\"min_border_top\":10,\"min_border_bottom\":10,\"min_border_left\":10,\"min_border_right\":10,\"output_backend\":\"webgl\",\"match_aspect\":true}},{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p5038\",\"attributes\":{\"name\":\"HSpacer04514\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p4897\"},{\"id\":\"p4895\"},{\"id\":\"p4896\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}}]}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"23433ae4-543a-4806-8f61-d2856099bbe2\",\"roots\":{\"p4894\":\"e5e3de37-8428-405b-b485-53df4172bf57\"},\"root_ids\":[\"p4894\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
@@ -1930,14 +861,13 @@
        ":Overlay\n",
        "   .Polygons.I  :Polygons   [Longitude,Latitude]   (psi)\n",
        "   .Coastline.I :Feature   [Longitude,Latitude]\n",
-       "   .Grid.I      :Feature   [Longitude,Latitude]\n",
-       "   .Path.I      :Path   [Longitude,Latitude]"
+       "   .Grid.I      :Feature   [Longitude,Latitude]"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 17,
      "metadata": {
       "application/vnd.holoviews_exec.v0+json": {
-       "id": "p1971"
+       "id": "p4894"
       }
      },
      "output_type": "execute_result"
@@ -1952,12 +882,32 @@
     "        projection=projection,\n",
     "        global_extent=True,\n",
     "        coastline=True,\n",
+    "        title=f\"Cross Section at {lat} degrees latitude\",\n",
     "    )\n",
     "    * gf.grid(projection=projection)\n",
-    "    * constant_lat_line\n",
     ")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "1cbee722-34a4-4e67-8e22-f393d7d36c99",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Global Mean: 1.0000000015332655\n",
+      "Mean at 30 degrees lat: 0.9797216779775056\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\"Global Mean: {uxds['psi'].data.mean()}\")\n",
+    "print(f\"Mean at {lat} degrees lat: {uxda_constant_lat.data.mean()}\")"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "c4a7ee25-0b60-470f-bab7-92ff70563076",
diff --git a/uxarray/grid/grid.py b/uxarray/grid/grid.py
index c3ade1f63..cf07d5525 100644
--- a/uxarray/grid/grid.py
+++ b/uxarray/grid/grid.py
@@ -1902,8 +1902,13 @@ def isel(self, **dim_kwargs):
                 "Indexing must be along a grid dimension: ('n_node', 'n_edge', 'n_face')"
             )
 
-    def constant_latitude_cross_section(self, lat: float, return_face_indices=False):
-        faces = self.get_faces_at_constant_latitude(lat)
+    def constant_latitude_cross_section(
+        self, lat: float, return_face_indices=False, method="fast"
+    ):
+        faces = self.get_faces_at_constant_latitude(lat, method)
+
+        if len(faces) == 0:
+            raise ValueError(f"No intersections found at lat={lat}.")
 
         grid_at_constant_lat = self.isel(n_face=faces)
 
@@ -1912,15 +1917,15 @@ def constant_latitude_cross_section(self, lat: float, return_face_indices=False)
         else:
             return grid_at_constant_lat
 
-    def get_edges_at_constant_latitude(self, lat):
+    def get_edges_at_constant_latitude(self, lat, method="fast"):
         """TODO:"""
 
         edges = constant_lat_intersections(lat, self.edge_node_z.values, self.n_edge)
         return edges.squeeze()
 
-    def get_faces_at_constant_latitude(self, lat):
+    def get_faces_at_constant_latitude(self, lat, method="fast"):
         """TODO:"""
         edges = self.get_edges_at_constant_latitude(lat)
-        faces = self.edge_face_connectivity[edges].data.ravel()
+        faces = np.unique(self.edge_face_connectivity[edges].data.ravel())
 
         return faces[faces != INT_FILL_VALUE]
diff --git a/uxarray/grid/intersections.py b/uxarray/grid/intersections.py
index 7ca8a07d9..9d58ccc74 100644
--- a/uxarray/grid/intersections.py
+++ b/uxarray/grid/intersections.py
@@ -10,7 +10,7 @@
 from numba import njit, prange
 
 
-@njit(parallel=True, nogil=True)
+@njit(parallel=True, nogil=True, cache=True)
 def constant_lat_intersections(lat, edge_node_z, n_edge):
     """Determine which edges intersect a constant line of latitude on a sphere.
 
@@ -31,12 +31,9 @@ def constant_lat_intersections(lat, edge_node_z, n_edge):
     -------
     intersecting_edges:
         List of indices of edges that intersect the constant latitude.
-    intersection_points:
-        Array of shape (n_intersections, 3) containing intersection points in Cartesian coordinates.
     """
     lat = np.deg2rad(lat)
 
-    # intersecting_edges = []
     intersecting_edges_mask = np.zeros(n_edge, dtype=np.int32)
 
     # Calculate the constant z-value for the given latitude
@@ -48,17 +45,24 @@ def constant_lat_intersections(lat, edge_node_z, n_edge):
         z0 = edge_node_z[i, 0]
         z1 = edge_node_z[i, 1]
 
-        # Check if the edge crosses the constant latitude plane
-        # if (z0 - z_constant) * (z1 - z_constant) < 0:
-        #     intersecting_edges.append(i)
         if (z0 - z_constant) * (z1 - z_constant) < 0.0:
             intersecting_edges_mask[i] = 1
 
     intersecting_edges = np.argwhere(intersecting_edges_mask)
 
-    return intersecting_edges
+    return np.unique(intersecting_edges)
 
-    # return np.array(intersecting_edges, dtype=INT_DTYPE)
+
+# @njit(parallel=True, nogil=True)
+# def constant_lon_intersections(lon, edge_node_z, n_edge):
+#     lon = np.deg2rad(lon)
+#
+#     intersecting_edges_mask = np.zeros(n_edge, dtype=np.int32)
+#
+#     for i in range(n_edge):
+#         pass
+#
+#     pass
 
 
 # @njit

From b5965e6823705b54066e4fef1dc26eb5113e6d76 Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Mon, 7 Oct 2024 11:39:23 -0500
Subject: [PATCH 06/25] add docstrings

---
 uxarray/grid/grid.py          | 106 ++++++++++++++++++++++++++++++++--
 uxarray/grid/intersections.py |  57 ------------------
 2 files changed, 102 insertions(+), 61 deletions(-)

diff --git a/uxarray/grid/grid.py b/uxarray/grid/grid.py
index cf07d5525..950250968 100644
--- a/uxarray/grid/grid.py
+++ b/uxarray/grid/grid.py
@@ -1905,6 +1905,52 @@ def isel(self, **dim_kwargs):
     def constant_latitude_cross_section(
         self, lat: float, return_face_indices=False, method="fast"
     ):
+        """Extracts a cross-section of the grid at a specified constant
+        latitude.
+
+        This method identifies and returns all faces (or grid elements) that intersect
+        with a given latitude. The returned cross-section can include either just the grid
+        or both the grid elements and the corresponding face indices, depending
+        on the `return_face_indices` parameter.
+
+        Parameters
+        ----------
+        lat : float
+            The latitude at which to extract the cross-section, in degrees.
+        return_face_indices : bool, optional
+            If True, returns both the grid at the specified latitude and the indices
+            of the intersecting faces. If False, only the grid is returned.
+            Default is False.
+        method : str, optional
+            The internal method to use when identifying faces at the constant latitude.
+            Options are:
+            - 'fast': Uses a faster but potentially less accurate method for face identification.
+            - 'accurate': Uses a slower but more accurate method.
+            Default is 'fast'.
+
+        Returns
+        -------
+        grid_at_constant_lat : Grid
+            The grid with faces that interesected at a given lattitude
+        faces : array, optional
+            The indices of the faces that intersect with the specified latitude. This is only
+            returned if `return_face_indices` is set to True.
+
+        Raises
+        ------
+        ValueError
+            If no intersections are found at the specified latitude, a ValueError is raised.
+
+        Examples
+        --------
+        >>> grid, indices = grid.constant_latitude_cross_section(lat=30.0, return_face_indices=True)
+        >>> grid = grid.constant_latitude_cross_section(lat=-15.5)
+
+        Notes
+        -----
+        The accuracy and performance of the function can be controlled using the `method` parameter.
+        For higher precision requreiments, consider using method='acurate'.
+        """
         faces = self.get_faces_at_constant_latitude(lat, method)
 
         if len(faces) == 0:
@@ -1918,14 +1964,66 @@ def constant_latitude_cross_section(
             return grid_at_constant_lat
 
     def get_edges_at_constant_latitude(self, lat, method="fast"):
-        """TODO:"""
+        """Identifies the edges of the grid that intersect with a specified
+        constant latitude.
+
+        This method computes the intersection of grid edges with a given latitude and
+        returns a collection of edges that cross or are aligned with that latitude.
+        The method used for identifying these edges can be controlled by the `method`
+        parameter.
 
-        edges = constant_lat_intersections(lat, self.edge_node_z.values, self.n_edge)
+        Parameters
+        ----------
+        lat : float
+            The latitude at which to identify intersecting edges, in degrees.
+        method : str, optional
+            The computational method used to determine edge intersections. Options are:
+            - 'fast': Uses a faster but potentially less accurate method for determining intersections.
+            - 'accurate': Uses a slower but more precise method.
+            Default is 'fast'.
+
+        Returns
+        -------
+        edges : array
+            A squeezed array of edges that intersect the specified constant latitude.
+        """
+        if method == "fast":
+            edges = constant_lat_intersections(
+                lat, self.edge_node_z.values, self.n_edge
+            )
+        elif method == "accurate":
+            raise NotImplementedError("TODO: ")
+        else:
+            raise ValueError("TODO:")
         return edges.squeeze()
 
     def get_faces_at_constant_latitude(self, lat, method="fast"):
-        """TODO:"""
-        edges = self.get_edges_at_constant_latitude(lat)
+        """Identifies the faces of the grid that intersect with a specified
+        constant latitude.
+
+        This method finds the faces (or cells) of the grid that intersect a given latitude
+        by first identifying the intersecting edges and then determining the faces connected
+        to these edges. The method used for identifying edges can be adjusted with the `method`
+        parameter.
+
+        Parameters
+        ----------
+        lat : float
+            The latitude at which to identify intersecting faces, in degrees.
+        method : str, optional
+            The computational method used to determine intersecting edges. Options are:
+            - 'fast': Uses a faster but potentially less accurate method for determining intersections.
+            - 'accurate': Uses a slower but more precise method.
+            Default is 'fast'.
+
+        Returns
+        -------
+        faces : array
+            An array of unique face indices that intersect the specified latitude.
+            Faces that are invalid or missing (e.g., with a fill value) are excluded
+            from the result.
+        """
+        edges = self.get_edges_at_constant_latitude(lat, method)
         faces = np.unique(self.edge_face_connectivity[edges].data.ravel())
 
         return faces[faces != INT_FILL_VALUE]
diff --git a/uxarray/grid/intersections.py b/uxarray/grid/intersections.py
index 9d58ccc74..86b727d72 100644
--- a/uxarray/grid/intersections.py
+++ b/uxarray/grid/intersections.py
@@ -53,63 +53,6 @@ def constant_lat_intersections(lat, edge_node_z, n_edge):
     return np.unique(intersecting_edges)
 
 
-# @njit(parallel=True, nogil=True)
-# def constant_lon_intersections(lon, edge_node_z, n_edge):
-#     lon = np.deg2rad(lon)
-#
-#     intersecting_edges_mask = np.zeros(n_edge, dtype=np.int32)
-#
-#     for i in range(n_edge):
-#         pass
-#
-#     pass
-
-
-# @njit
-# def constant_lon_intersections(lon, edge_node_x, edge_node_y, edge_node_z, n_edge):
-#     """TODO: Not quite ready, some weird behavior around poles."""
-#     intersecting_edges = []
-#     intersection_points = []
-#
-#     # Iterate through each edge and check for intersections
-#     for i in range(n_edge):
-#         # Get the Cartesian coordinates of the edge's nodes
-#         x0, x1 = edge_node_x[i, 0], edge_node_x[i, 1]
-#         y0, y1 = edge_node_y[i, 0], edge_node_y[i, 1]
-#         z0, z1 = edge_node_z[i, 0], edge_node_z[i, 1]
-#
-#         # Convert Cartesian coordinates to spherical coordinates (latitude and longitude)
-#         lat0 = np.arcsin(z0)
-#         lat1 = np.arcsin(z1)
-#         lon0 = np.arctan2(y0, x0)
-#         lon1 = np.arctan2(y1, x1)
-#
-#         # Check if the edge spans the desired longitude
-#         if (lon0 <= lon and lon1 >= lon) or (lon0 >= lon and lon1 <= lon):
-#             # Calculate the intersection latitude using spherical trigonometry
-#             d_lon = lon1 - lon0
-#             d_lat = lat1 - lat0
-#             if d_lon == 0:
-#                 continue
-#
-#             # Calculate the intersection latitude using linear interpolation in the spherical space
-#             t = (lon - lon0) / d_lon
-#             lat_intersect = lat0 + t * d_lat
-#
-#             # Convert intersection point back to Cartesian coordinates
-#             x_intersect = np.cos(lat_intersect) * np.cos(lon)
-#             y_intersect = np.cos(lat_intersect) * np.sin(lon)
-#             z_intersect = np.sin(lat_intersect)
-#
-#             # Check if the intersection latitude is within the bounds of the edge's latitudes
-#             if min(lat0, lat1) <= lat_intersect <= max(lat0, lat1):
-#                 # Append the intersecting edge index and intersection point
-#                 intersecting_edges.append(i)
-#                 intersection_points.append((x_intersect, y_intersect, z_intersect))
-#
-#     return np.array(intersecting_edges, dtype=INT_DTYPE), np.array(intersection_points)
-
-
 def gca_gca_intersection(gca1_cart, gca2_cart, fma_disabled=True):
     """Calculate the intersection point(s) of two Great Circle Arcs (GCAs) in a
     Cartesian coordinate system.

From d2f0a86c077624bbae8d54708ca5092b72f1b13f Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Mon, 7 Oct 2024 11:49:09 -0500
Subject: [PATCH 07/25] add benchmark

---
 benchmarks/mpas_ocean.py | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/benchmarks/mpas_ocean.py b/benchmarks/mpas_ocean.py
index 742383b9e..21b881b24 100644
--- a/benchmarks/mpas_ocean.py
+++ b/benchmarks/mpas_ocean.py
@@ -4,6 +4,8 @@
 
 import uxarray as ux
 
+import numpy as np
+
 current_path = Path(os.path.dirname(os.path.realpath(__file__)))
 
 data_var = 'bottomDepth'
@@ -150,3 +152,12 @@ def teardown(self, resolution):
     def time_check_norm(self, resolution):
         from uxarray.grid.validation import _check_normalization
         _check_normalization(self.uxgrid)
+
+
+class CrossSections(DatasetBenchmark):
+    param_names = DatasetBenchmark.param_names + ['n_lat']
+    params = DatasetBenchmark.params + [[1, 2, 4, 8]]
+    def time_constant_lat_fast(self, resolution, n_lat):
+
+        for lat in np.linspace(-89, 89, n_lat):
+            self.uxds.uxgrid.constant_lazitude_cross_section(lat)

From 995bc97a886437402d631784c0e219117796b0be Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Mon, 7 Oct 2024 11:52:04 -0500
Subject: [PATCH 08/25] update benchmark

---
 benchmarks/mpas_ocean.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/benchmarks/mpas_ocean.py b/benchmarks/mpas_ocean.py
index 21b881b24..d78a5a815 100644
--- a/benchmarks/mpas_ocean.py
+++ b/benchmarks/mpas_ocean.py
@@ -158,6 +158,5 @@ class CrossSections(DatasetBenchmark):
     param_names = DatasetBenchmark.param_names + ['n_lat']
     params = DatasetBenchmark.params + [[1, 2, 4, 8]]
     def time_constant_lat_fast(self, resolution, n_lat):
-
         for lat in np.linspace(-89, 89, n_lat):
-            self.uxds.uxgrid.constant_lazitude_cross_section(lat)
+            self.uxds.uxgrid.constant_lazitude_cross_section(lat, method='fast')

From ac64eeb43236845e6f118ab5a1736c69144bdedb Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Mon, 7 Oct 2024 11:55:29 -0500
Subject: [PATCH 09/25] update quad hex grid

---
 .../quad-hexagon => docs/user-guide}/grid.nc  | Bin 25915 -> 26574 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename {test/meshfiles/ugrid/quad-hexagon => docs/user-guide}/grid.nc (87%)

diff --git a/test/meshfiles/ugrid/quad-hexagon/grid.nc b/docs/user-guide/grid.nc
similarity index 87%
rename from test/meshfiles/ugrid/quad-hexagon/grid.nc
rename to docs/user-guide/grid.nc
index 6c0327dbb5319f8fb3686dbb53e9589e64f62e81..9e208fcdbc2a0276789da865d8a060a12e619977 100644
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From 8376f1771e48231910cfbf20087fc8a8424b7324 Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Mon, 7 Oct 2024 12:16:34 -0500
Subject: [PATCH 10/25] add tests

---
 test/test_cross_sections.py | 61 +++++++++++++++++++++++++++++++++++++
 1 file changed, 61 insertions(+)
 create mode 100644 test/test_cross_sections.py

diff --git a/test/test_cross_sections.py b/test/test_cross_sections.py
new file mode 100644
index 000000000..31738830e
--- /dev/null
+++ b/test/test_cross_sections.py
@@ -0,0 +1,61 @@
+import uxarray as ux
+import pytest
+from pathlib import Path
+import os
+
+import numpy.testing as nt
+
+# Define the current path and file paths for grid and data
+current_path = Path(os.path.dirname(os.path.realpath(__file__)))
+quad_hex_grid_path = current_path / 'meshfiles' / "ugrid" / "quad-hexagon" / 'grid.nc'
+quad_hex_data_path = current_path / 'meshfiles' / "ugrid" / "quad-hexagon" / 'data.nc'
+
+
+
+class TestQuadHex:
+    """The quad hexagon grid contains four faces.
+
+    Top Left Face: Index 1
+
+    Top Right Face: Index 2
+
+    Bottom Left Face: Index 0
+
+    Bottom Right Face: Index 3
+
+    The top two faces intersect a constant latitude of 0.1
+
+    The bottom two faces intersect a constant latitude of -0.1
+
+    All four faces intersect a constant latitude of 0.0
+    """
+
+    def test_constant_lat_cross_section_grid(self):
+        uxgrid = ux.open_grid(quad_hex_grid_path)
+
+        grid_top_two = uxgrid.constant_latitude_cross_section(lat=0.1)
+
+        assert grid_top_two.n_face == 2
+
+        grid_bottom_two = uxgrid.constant_latitude_cross_section(lat=-0.1)
+
+        assert grid_bottom_two.n_face == 2
+
+        grid_all_four = uxgrid.constant_latitude_cross_section(lat=0.0)
+
+        assert grid_all_four.n_face == 4
+
+    def test_constant_lat_cross_section_uxds(self):
+        uxds = ux.open_dataset(quad_hex_grid_path, quad_hex_data_path)
+
+        da_top_two = uxds['t2m'].constant_latitude_cross_section(lat=0.1)
+
+        nt.assert_array_equal(da_top_two.data, uxds['t2m'].isel(n_face=[1, 2]).data)
+
+        da_bottom_two = uxds['t2m'].constant_latitude_cross_section(lat=-0.1)
+
+        nt.assert_array_equal(da_bottom_two.data, uxds['t2m'].isel(n_face=[0, 3]).data)
+
+        da_all_four = uxds['t2m'].constant_latitude_cross_section(lat=0.0)
+
+        nt.assert_array_equal(da_all_four.data , uxds['t2m'].data)

From d539deef07da6b9f85749b13b4c22bba2da8c9e1 Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Mon, 7 Oct 2024 12:19:49 -0500
Subject: [PATCH 11/25] update tests

---
 test/test_cross_sections.py | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/test/test_cross_sections.py b/test/test_cross_sections.py
index 31738830e..83761e031 100644
--- a/test/test_cross_sections.py
+++ b/test/test_cross_sections.py
@@ -45,6 +45,11 @@ def test_constant_lat_cross_section_grid(self):
 
         assert grid_all_four.n_face == 4
 
+        with pytest.raises(ValueError):
+            # no intersections found at this line
+            uxgrid.constant_latitude_cross_section(lat=10.0)
+
+
     def test_constant_lat_cross_section_uxds(self):
         uxds = ux.open_dataset(quad_hex_grid_path, quad_hex_data_path)
 
@@ -59,3 +64,7 @@ def test_constant_lat_cross_section_uxds(self):
         da_all_four = uxds['t2m'].constant_latitude_cross_section(lat=0.0)
 
         nt.assert_array_equal(da_all_four.data , uxds['t2m'].data)
+
+        with pytest.raises(ValueError):
+            # no intersections found at this line
+            uxds['t2m'].constant_latitude_cross_section(lat=10.0)

From 01749774708ab2a351fcda23b1b48a7290415da6 Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Mon, 7 Oct 2024 12:23:56 -0500
Subject: [PATCH 12/25] update quad hex grid

---
 test/meshfiles/ugrid/quad-hexagon/grid.nc | Bin 0 -> 25458 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 test/meshfiles/ugrid/quad-hexagon/grid.nc

diff --git a/test/meshfiles/ugrid/quad-hexagon/grid.nc b/test/meshfiles/ugrid/quad-hexagon/grid.nc
new file mode 100644
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literal 0
HcmV?d00001


From f35b99926f7d1f2d11a33b72a60aaef683477f49 Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Mon, 7 Oct 2024 12:25:09 -0500
Subject: [PATCH 13/25] update name of intersection func

---
 uxarray/grid/grid.py          | 4 ++--
 uxarray/grid/intersections.py | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/uxarray/grid/grid.py b/uxarray/grid/grid.py
index 950250968..6675d6a8a 100644
--- a/uxarray/grid/grid.py
+++ b/uxarray/grid/grid.py
@@ -66,7 +66,7 @@
 )
 
 from uxarray.grid.intersections import (
-    constant_lat_intersections,
+    fast_constant_lat_intersections,
 )
 
 from spatialpandas import GeoDataFrame
@@ -1988,7 +1988,7 @@ def get_edges_at_constant_latitude(self, lat, method="fast"):
             A squeezed array of edges that intersect the specified constant latitude.
         """
         if method == "fast":
-            edges = constant_lat_intersections(
+            edges = fast_constant_lat_intersections(
                 lat, self.edge_node_z.values, self.n_edge
             )
         elif method == "accurate":
diff --git a/uxarray/grid/intersections.py b/uxarray/grid/intersections.py
index 86b727d72..ddb3d3919 100644
--- a/uxarray/grid/intersections.py
+++ b/uxarray/grid/intersections.py
@@ -11,7 +11,7 @@
 
 
 @njit(parallel=True, nogil=True, cache=True)
-def constant_lat_intersections(lat, edge_node_z, n_edge):
+def fast_constant_lat_intersections(lat, edge_node_z, n_edge):
     """Determine which edges intersect a constant line of latitude on a sphere.
 
     Parameters

From 2adbcde411de74940203b3382cdb6015673fd512 Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Mon, 7 Oct 2024 12:25:57 -0500
Subject: [PATCH 14/25] update value error

---
 uxarray/grid/grid.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/uxarray/grid/grid.py b/uxarray/grid/grid.py
index 6675d6a8a..dda820d99 100644
--- a/uxarray/grid/grid.py
+++ b/uxarray/grid/grid.py
@@ -1992,9 +1992,9 @@ def get_edges_at_constant_latitude(self, lat, method="fast"):
                 lat, self.edge_node_z.values, self.n_edge
             )
         elif method == "accurate":
-            raise NotImplementedError("TODO: ")
+            raise NotImplementedError("Accurate method not yet implemented.")
         else:
-            raise ValueError("TODO:")
+            raise ValueError(f"Invalid method: {method}.")
         return edges.squeeze()
 
     def get_faces_at_constant_latitude(self, lat, method="fast"):

From b769d676d47127db2ca1be5cd522e861ea7c7468 Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Mon, 7 Oct 2024 12:32:40 -0500
Subject: [PATCH 15/25] update user guide

---
 docs/user-guide/cross-sections.ipynb | 853 ++-------------------------
 1 file changed, 42 insertions(+), 811 deletions(-)

diff --git a/docs/user-guide/cross-sections.ipynb b/docs/user-guide/cross-sections.ipynb
index ea258f5f7..b3886efe9 100644
--- a/docs/user-guide/cross-sections.ipynb
+++ b/docs/user-guide/cross-sections.ipynb
@@ -5,12 +5,14 @@
    "id": "4a432a8bf95d9cdb",
    "metadata": {},
    "source": [
-    "# Cross-Sections"
+    "# Cross-Sections\n",
+    "\n",
+    "This section showcases how to obtain cross-sections of an unstructured grid using UXarray.\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "b35ba4a2c30750e4",
    "metadata": {
     "ExecuteTime": {
@@ -18,606 +20,7 @@
      "start_time": "2024-10-05T15:19:41.546324Z"
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "application/javascript": [
-       "(function(root) {\n",
-       "  function now() {\n",
-       "    return new Date();\n",
-       "  }\n",
-       "\n",
-       "  var force = true;\n",
-       "  var py_version = '3.4.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
-       "  var reloading = false;\n",
-       "  var Bokeh = root.Bokeh;\n",
-       "\n",
-       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
-       "    root._bokeh_timeout = Date.now() + 5000;\n",
-       "    root._bokeh_failed_load = false;\n",
-       "  }\n",
-       "\n",
-       "  function run_callbacks() {\n",
-       "    try {\n",
-       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
-       "        if (callback != null)\n",
-       "          callback();\n",
-       "      });\n",
-       "    } finally {\n",
-       "      delete root._bokeh_onload_callbacks;\n",
-       "    }\n",
-       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
-       "  }\n",
-       "\n",
-       "  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n",
-       "    if (css_urls == null) css_urls = [];\n",
-       "    if (js_urls == null) js_urls = [];\n",
-       "    if (js_modules == null) js_modules = [];\n",
-       "    if (js_exports == null) js_exports = {};\n",
-       "\n",
-       "    root._bokeh_onload_callbacks.push(callback);\n",
-       "\n",
-       "    if (root._bokeh_is_loading > 0) {\n",
-       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
-       "      return null;\n",
-       "    }\n",
-       "    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
-       "      run_callbacks();\n",
-       "      return null;\n",
-       "    }\n",
-       "    if (!reloading) {\n",
-       "      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
-       "    }\n",
-       "\n",
-       "    function on_load() {\n",
-       "      root._bokeh_is_loading--;\n",
-       "      if (root._bokeh_is_loading === 0) {\n",
-       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
-       "        run_callbacks()\n",
-       "      }\n",
-       "    }\n",
-       "    window._bokeh_on_load = on_load\n",
-       "\n",
-       "    function on_error() {\n",
-       "      console.error(\"failed to load \" + url);\n",
-       "    }\n",
-       "\n",
-       "    var skip = [];\n",
-       "    if (window.requirejs) {\n",
-       "      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n",
-       "      root._bokeh_is_loading = css_urls.length + 0;\n",
-       "    } else {\n",
-       "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
-       "    }\n",
-       "\n",
-       "    var existing_stylesheets = []\n",
-       "    var links = document.getElementsByTagName('link')\n",
-       "    for (var i = 0; i < links.length; i++) {\n",
-       "      var link = links[i]\n",
-       "      if (link.href != null) {\n",
-       "\texisting_stylesheets.push(link.href)\n",
-       "      }\n",
-       "    }\n",
-       "    for (var i = 0; i < css_urls.length; i++) {\n",
-       "      var url = css_urls[i];\n",
-       "      if (existing_stylesheets.indexOf(url) !== -1) {\n",
-       "\ton_load()\n",
-       "\tcontinue;\n",
-       "      }\n",
-       "      const element = document.createElement(\"link\");\n",
-       "      element.onload = on_load;\n",
-       "      element.onerror = on_error;\n",
-       "      element.rel = \"stylesheet\";\n",
-       "      element.type = \"text/css\";\n",
-       "      element.href = url;\n",
-       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
-       "      document.body.appendChild(element);\n",
-       "    }    var existing_scripts = []\n",
-       "    var scripts = document.getElementsByTagName('script')\n",
-       "    for (var i = 0; i < scripts.length; i++) {\n",
-       "      var script = scripts[i]\n",
-       "      if (script.src != null) {\n",
-       "\texisting_scripts.push(script.src)\n",
-       "      }\n",
-       "    }\n",
-       "    for (var i = 0; i < js_urls.length; i++) {\n",
-       "      var url = js_urls[i];\n",
-       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
-       "\tif (!window.requirejs) {\n",
-       "\t  on_load();\n",
-       "\t}\n",
-       "\tcontinue;\n",
-       "      }\n",
-       "      var element = document.createElement('script');\n",
-       "      element.onload = on_load;\n",
-       "      element.onerror = on_error;\n",
-       "      element.async = false;\n",
-       "      element.src = url;\n",
-       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
-       "      document.head.appendChild(element);\n",
-       "    }\n",
-       "    for (var i = 0; i < js_modules.length; i++) {\n",
-       "      var url = js_modules[i];\n",
-       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
-       "\tif (!window.requirejs) {\n",
-       "\t  on_load();\n",
-       "\t}\n",
-       "\tcontinue;\n",
-       "      }\n",
-       "      var element = document.createElement('script');\n",
-       "      element.onload = on_load;\n",
-       "      element.onerror = on_error;\n",
-       "      element.async = false;\n",
-       "      element.src = url;\n",
-       "      element.type = \"module\";\n",
-       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
-       "      document.head.appendChild(element);\n",
-       "    }\n",
-       "    for (const name in js_exports) {\n",
-       "      var url = js_exports[name];\n",
-       "      if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
-       "\tif (!window.requirejs) {\n",
-       "\t  on_load();\n",
-       "\t}\n",
-       "\tcontinue;\n",
-       "      }\n",
-       "      var element = document.createElement('script');\n",
-       "      element.onerror = on_error;\n",
-       "      element.async = false;\n",
-       "      element.type = \"module\";\n",
-       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
-       "      element.textContent = `\n",
-       "      import ${name} from \"${url}\"\n",
-       "      window.${name} = ${name}\n",
-       "      window._bokeh_on_load()\n",
-       "      `\n",
-       "      document.head.appendChild(element);\n",
-       "    }\n",
-       "    if (!js_urls.length && !js_modules.length) {\n",
-       "      on_load()\n",
-       "    }\n",
-       "  };\n",
-       "\n",
-       "  function inject_raw_css(css) {\n",
-       "    const element = document.createElement(\"style\");\n",
-       "    element.appendChild(document.createTextNode(css));\n",
-       "    document.body.appendChild(element);\n",
-       "  }\n",
-       "\n",
-       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.2.min.js\", \"https://cdn.holoviz.org/panel/1.4.4/dist/panel.min.js\"];\n",
-       "  var js_modules = [];\n",
-       "  var js_exports = {};\n",
-       "  var css_urls = [];\n",
-       "  var inline_js = [    function(Bokeh) {\n",
-       "      Bokeh.set_log_level(\"info\");\n",
-       "    },\n",
-       "function(Bokeh) {} // ensure no trailing comma for IE\n",
-       "  ];\n",
-       "\n",
-       "  function run_inline_js() {\n",
-       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
-       "      for (var i = 0; i < inline_js.length; i++) {\n",
-       "\ttry {\n",
-       "          inline_js[i].call(root, root.Bokeh);\n",
-       "\t} catch(e) {\n",
-       "\t  if (!reloading) {\n",
-       "\t    throw e;\n",
-       "\t  }\n",
-       "\t}\n",
-       "      }\n",
-       "      // Cache old bokeh versions\n",
-       "      if (Bokeh != undefined && !reloading) {\n",
-       "\tvar NewBokeh = root.Bokeh;\n",
-       "\tif (Bokeh.versions === undefined) {\n",
-       "\t  Bokeh.versions = new Map();\n",
-       "\t}\n",
-       "\tif (NewBokeh.version !== Bokeh.version) {\n",
-       "\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
-       "\t}\n",
-       "\troot.Bokeh = Bokeh;\n",
-       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
-       "      setTimeout(run_inline_js, 100);\n",
-       "    } else if (!root._bokeh_failed_load) {\n",
-       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
-       "      root._bokeh_failed_load = true;\n",
-       "    }\n",
-       "    root._bokeh_is_initializing = false\n",
-       "  }\n",
-       "\n",
-       "  function load_or_wait() {\n",
-       "    // Implement a backoff loop that tries to ensure we do not load multiple\n",
-       "    // versions of Bokeh and its dependencies at the same time.\n",
-       "    // In recent versions we use the root._bokeh_is_initializing flag\n",
-       "    // to determine whether there is an ongoing attempt to initialize\n",
-       "    // bokeh, however for backward compatibility we also try to ensure\n",
-       "    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
-       "    // before older versions are fully initialized.\n",
-       "    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
-       "      root._bokeh_is_initializing = false;\n",
-       "      root._bokeh_onload_callbacks = undefined;\n",
-       "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
-       "      load_or_wait();\n",
-       "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
-       "      setTimeout(load_or_wait, 100);\n",
-       "    } else {\n",
-       "      root._bokeh_is_initializing = true\n",
-       "      root._bokeh_onload_callbacks = []\n",
-       "      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
-       "      if (!reloading && !bokeh_loaded) {\n",
-       "\troot.Bokeh = undefined;\n",
-       "      }\n",
-       "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
-       "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
-       "\trun_inline_js();\n",
-       "      });\n",
-       "    }\n",
-       "  }\n",
-       "  // Give older versions of the autoload script a head-start to ensure\n",
-       "  // they initialize before we start loading newer version.\n",
-       "  setTimeout(load_or_wait, 100)\n",
-       "}(window));"
-      ],
-      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.4.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var reloading = false;\n  var Bokeh = root.Bokeh;\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks;\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.2.min.js\", \"https://cdn.holoviz.org/panel/1.4.4/dist/panel.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/javascript": [
-       "\n",
-       "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
-       "  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
-       "}\n",
-       "\n",
-       "\n",
-       "    function JupyterCommManager() {\n",
-       "    }\n",
-       "\n",
-       "    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
-       "      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
-       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
-       "        comm_manager.register_target(comm_id, function(comm) {\n",
-       "          comm.on_msg(msg_handler);\n",
-       "        });\n",
-       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
-       "        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
-       "          comm.onMsg = msg_handler;\n",
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-       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
-       "        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n",
-       "          var messages = comm.messages[Symbol.asyncIterator]();\n",
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-       "\n",
-       "    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
-       "      if (comm_id in window.PyViz.comms) {\n",
-       "        return window.PyViz.comms[comm_id];\n",
-       "      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
-       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
-       "        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n",
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-       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
-       "        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
-       "        comm.open();\n",
-       "        if (msg_handler) {\n",
-       "          comm.onMsg = msg_handler;\n",
-       "        }\n",
-       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
-       "        var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
-       "        comm_promise.then((comm) => {\n",
-       "          window.PyViz.comms[comm_id] = comm;\n",
-       "          if (msg_handler) {\n",
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-       "              msg_handler(msg);\n",
-       "              return messages.next().then(processIteratorResult);\n",
-       "            }\n",
-       "            return messages.next().then(processIteratorResult);\n",
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-       "        }) \n",
-       "        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
-       "          return comm_promise.then((comm) => {\n",
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-       "        var comm = {\n",
-       "          send: sendClosure\n",
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-       "      }\n",
-       "      window.PyViz.comms[comm_id] = comm;\n",
-       "      return comm;\n",
-       "    }\n",
-       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
-       "    \n",
-       "\n",
-       "\n",
-       "var JS_MIME_TYPE = 'application/javascript';\n",
-       "var HTML_MIME_TYPE = 'text/html';\n",
-       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
-       "var CLASS_NAME = 'output';\n",
-       "\n",
-       "/**\n",
-       " * Render data to the DOM node\n",
-       " */\n",
-       "function render(props, node) {\n",
-       "  var div = document.createElement(\"div\");\n",
-       "  var script = document.createElement(\"script\");\n",
-       "  node.appendChild(div);\n",
-       "  node.appendChild(script);\n",
-       "}\n",
-       "\n",
-       "/**\n",
-       " * Handle when a new output is added\n",
-       " */\n",
-       "function handle_add_output(event, handle) {\n",
-       "  var output_area = handle.output_area;\n",
-       "  var output = handle.output;\n",
-       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
-       "    return\n",
-       "  }\n",
-       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
-       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
-       "  if (id !== undefined) {\n",
-       "    var nchildren = toinsert.length;\n",
-       "    var html_node = toinsert[nchildren-1].children[0];\n",
-       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
-       "    var scripts = [];\n",
-       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
-       "    for (var i in nodelist) {\n",
-       "      if (nodelist.hasOwnProperty(i)) {\n",
-       "        scripts.push(nodelist[i])\n",
-       "      }\n",
-       "    }\n",
-       "\n",
-       "    scripts.forEach( function (oldScript) {\n",
-       "      var newScript = document.createElement(\"script\");\n",
-       "      var attrs = [];\n",
-       "      var nodemap = oldScript.attributes;\n",
-       "      for (var j in nodemap) {\n",
-       "        if (nodemap.hasOwnProperty(j)) {\n",
-       "          attrs.push(nodemap[j])\n",
-       "        }\n",
-       "      }\n",
-       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
-       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
-       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
-       "    });\n",
-       "    if (JS_MIME_TYPE in output.data) {\n",
-       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
-       "    }\n",
-       "    output_area._hv_plot_id = id;\n",
-       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
-       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
-       "    } else {\n",
-       "      window.PyViz.plot_index[id] = null;\n",
-       "    }\n",
-       "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
-       "    var bk_div = document.createElement(\"div\");\n",
-       "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
-       "    var script_attrs = bk_div.children[0].attributes;\n",
-       "    for (var i = 0; i < script_attrs.length; i++) {\n",
-       "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
-       "    }\n",
-       "    // store reference to server id on output_area\n",
-       "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
-       "  }\n",
-       "}\n",
-       "\n",
-       "/**\n",
-       " * Handle when an output is cleared or removed\n",
-       " */\n",
-       "function handle_clear_output(event, handle) {\n",
-       "  var id = handle.cell.output_area._hv_plot_id;\n",
-       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
-       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
-       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
-       "  if (server_id !== null) {\n",
-       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
-       "    return;\n",
-       "  } else if (comm !== null) {\n",
-       "    comm.send({event_type: 'delete', 'id': id});\n",
-       "  }\n",
-       "  delete PyViz.plot_index[id];\n",
-       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
-       "    var doc = window.Bokeh.index[id].model.document\n",
-       "    doc.clear();\n",
-       "    const i = window.Bokeh.documents.indexOf(doc);\n",
-       "    if (i > -1) {\n",
-       "      window.Bokeh.documents.splice(i, 1);\n",
-       "    }\n",
-       "  }\n",
-       "}\n",
-       "\n",
-       "/**\n",
-       " * Handle kernel restart event\n",
-       " */\n",
-       "function handle_kernel_cleanup(event, handle) {\n",
-       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
-       "  window.PyViz.plot_index = {}\n",
-       "}\n",
-       "\n",
-       "/**\n",
-       " * Handle update_display_data messages\n",
-       " */\n",
-       "function handle_update_output(event, handle) {\n",
-       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
-       "  handle_add_output(event, handle)\n",
-       "}\n",
-       "\n",
-       "function register_renderer(events, OutputArea) {\n",
-       "  function append_mime(data, metadata, element) {\n",
-       "    // create a DOM node to render to\n",
-       "    var toinsert = this.create_output_subarea(\n",
-       "    metadata,\n",
-       "    CLASS_NAME,\n",
-       "    EXEC_MIME_TYPE\n",
-       "    );\n",
-       "    this.keyboard_manager.register_events(toinsert);\n",
-       "    // Render to node\n",
-       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
-       "    render(props, toinsert[0]);\n",
-       "    element.append(toinsert);\n",
-       "    return toinsert\n",
-       "  }\n",
-       "\n",
-       "  events.on('output_added.OutputArea', handle_add_output);\n",
-       "  events.on('output_updated.OutputArea', handle_update_output);\n",
-       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
-       "  events.on('delete.Cell', handle_clear_output);\n",
-       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
-       "\n",
-       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
-       "    safe: true,\n",
-       "    index: 0\n",
-       "  });\n",
-       "}\n",
-       "\n",
-       "if (window.Jupyter !== undefined) {\n",
-       "  try {\n",
-       "    var events = require('base/js/events');\n",
-       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
-       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
-       "      register_renderer(events, OutputArea);\n",
-       "    }\n",
-       "  } catch(err) {\n",
-       "  }\n",
-       "}\n"
-      ],
-      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<style>*[data-root-id],\n",
-       "*[data-root-id] > * {\n",
-       "  box-sizing: border-box;\n",
-       "  font-family: var(--jp-ui-font-family);\n",
-       "  font-size: var(--jp-ui-font-size1);\n",
-       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
-       "}\n",
-       "\n",
-       "/* Override VSCode background color */\n",
-       ".cell-output-ipywidget-background:has(\n",
-       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
-       "  ),\n",
-       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "</style>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.holoviews_exec.v0+json": "",
-      "text/html": [
-       "<div id='p1002'>\n",
-       "  <div id=\"b598d6aa-0afb-43ab-aec3-fd43527d7b73\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
-       "</div>\n",
-       "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"78070e08-bbce-4047-a10e-e67364ab249b\":{\"version\":\"3.4.2\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"p1002\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1003\",\"attributes\":{\"plot_id\":\"p1002\",\"comm_id\":\"d8f8e22fe9b44ee6b7a283e781007acc\",\"client_comm_id\":\"6e0084e740a44098a9abc0f60c91ae7b\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
-       "  var render_items = [{\"docid\":\"78070e08-bbce-4047-a10e-e67364ab249b\",\"roots\":{\"p1002\":\"b598d6aa-0afb-43ab-aec3-fd43527d7b73\"},\"root_ids\":[\"p1002\"]}];\n",
-       "  var docs = Object.values(docs_json)\n",
-       "  if (!docs) {\n",
-       "    return\n",
-       "  }\n",
-       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  async function embed_document(root) {\n",
-       "    var Bokeh = get_bokeh(root)\n",
-       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
-       "    for (const render_item of render_items) {\n",
-       "      for (const root_id of render_item.root_ids) {\n",
-       "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
-       "\t  const root_el = id_el.children[0]\n",
-       "\t  root_el.id = root_el.id + '-rendered'\n",
-       "\t  for (const child of root_el.children) {\n",
-       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
-       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
-       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
-       "\t  }\n",
-       "\t}\n",
-       "      }\n",
-       "    }\n",
-       "  }\n",
-       "  function get_bokeh(root) {\n",
-       "    if (root.Bokeh === undefined) {\n",
-       "      return null\n",
-       "    } else if (root.Bokeh.version !== py_version) {\n",
-       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
-       "\treturn null\n",
-       "      }\n",
-       "      return root.Bokeh.versions.get(py_version);\n",
-       "    } else if (root.Bokeh.version === py_version) {\n",
-       "      return root.Bokeh\n",
-       "    }\n",
-       "    return null\n",
-       "  }\n",
-       "  function is_loaded(root) {\n",
-       "    var Bokeh = get_bokeh(root)\n",
-       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
-       "  }\n",
-       "  if (is_loaded(root)) {\n",
-       "    embed_document(root);\n",
-       "  } else {\n",
-       "    var attempts = 0;\n",
-       "    var timer = setInterval(function(root) {\n",
-       "      if (is_loaded(root)) {\n",
-       "        clearInterval(timer);\n",
-       "        embed_document(root);\n",
-       "      } else if (document.readyState == \"complete\") {\n",
-       "        attempts++;\n",
-       "        if (attempts > 200) {\n",
-       "          clearInterval(timer);\n",
-       "\t  var Bokeh = get_bokeh(root)\n",
-       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
-       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
-       "\t  } else {\n",
-       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
-       "\t    embed_document(root)\n",
-       "\t  }\n",
-       "        }\n",
-       "      }\n",
-       "    }, 25, root)\n",
-       "  }\n",
-       "})(window);</script>"
-      ]
-     },
-     "metadata": {
-      "application/vnd.holoviews_exec.v0+json": {
-       "id": "p1002"
-      }
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import uxarray as ux\n",
     "import geoviews.feature as gf\n",
@@ -625,7 +28,6 @@
     "import cartopy.crs as ccrs\n",
     "import geoviews as gv\n",
     "\n",
-    "\n",
     "projection = ccrs.Robinson()"
    ]
   },
@@ -639,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "b4160275c09fe6b0",
    "metadata": {
     "ExecuteTime": {
@@ -647,108 +49,19 @@
      "start_time": "2024-10-05T15:21:17.200324Z"
     }
    },
-   "outputs": [
-    {
-     "data": {},
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.holoviews_exec.v0+json": "",
-      "text/html": [
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-       "</div>\n",
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qAQPcq72P25xS3pG5vY/bnFLekbm9j9ucUt6Rub2P25xS3pG5vY/X7A0iqgX9z9fsDSKqBf3P1+wNIqoF/c/di1YkglD9z92LViSCUP3P3YtWJIJQ/c/bFI7D8lo9z9sUjsPyWj3P2xSOw/JaPc/bFI7D8lo9z+Cu014N4n3P4K7TXg3ifc/grtNeDeJ9z9C91TFgcf3P0L3VMWBx/c/QvdUxYHH9z8tKCVGdt/3Py0oJUZ23/c/LSglRnbf9z8tKCVGdt/3PwQ6W3CT8vc/BDpbcJPy9z8EOltwk/L3Py+CTbgBAfg/L4JNuAEB+D8vgk24AQH4Pwp3tgjiCvg/Cne2COIK+D8Kd7YI4gr4Pwp3tgjiCvg/8o0mxk4Q+D/yjSbGThD4PxDc58xcEfg/ENznzFwR+D8Q3OfMXBH4PzSvaHscDvg/NK9oexwO+D80r2h7HA74PzSvaHscDvg/Si+m2poG+D9KL6bamgb4P0ovptqaBvg/PgmK9eL69z8+CYr14vr3Pz4JivXi+vc/2EvObv/q9z/YS85u/+r3P9hLzm7/6vc/2EvObv/q9z8aJkxh/Nb3PxomTGH81vc/GiZMYfzW9z8ab+jC7ZT3Pxpv6MLtlPc/Gm/owu2U9z/LfT+CtHj3P8t9P4K0ePc/y30/grR49z/LfT+CtHj3P3iZ/dCBWPc/eJn90IFY9z94mf3QgVj3P0e1p6lrNPc/R7WnqWs09z9HtaepazT3Pwg55pmPDPc/CDnmmY8M9z8IOeaZjwz3Pwg55pmPDPc/OtU/ZxHh9j861T9nEeH2P2aQlxEcq/Y/ChGRmE959j8KEZGYT3n2PwoRkZhPefY/P+AzUghD9j8/4DNSCEP2Pz/gM1IIQ/Y/P+AzUghD9j9EANSoAwj2P0QA1KgDCPY/vvsSf2y29T8sJxl82Tv1P9O6ZozFo/U/07pmjMWj9T/DwvMOF/r0P8PC8w4X+vQ/w8LzDhf69D/DwvMOF/r0P0PhtBlGCfQ/Q+G0GUYJ9D9D4bQZRgn0PzG59JhdrfI/W1k1Kqq78z9bWTUqqrvzP8b0QTocRvI/xvRBOhxG8j/G9EE6HEbyP0FibTo/U/A/QWJtOj9T8D9BYm06P1PwP9iOHtZ/Xuw/2I4e1n9e7D/Yjh7Wf17sP5p6uxnqYuk/mnq7Gepi6T+aersZ6mLpP5p6uxnqYuk/Xnf3G6Lc6T9ed/cbotzpP1539xui3Ok/4qZEkJOq6T/ipkSQk6rpP+KmRJCTquk/eW+5PuGy7D95b7k+4bLsP3lvuT7hsuw/eW+5PuGy7D/o3/pnllnwP+jf+meWWfA/6N/6Z5ZZ8D92oS/eQqPxP3ahL95Co/E/dqEv3kKj8T/Alr3hRAjyP8CWveFECPI/wJa94UQI8j/Alr3hRAjyP0ORiQCqCfI/Q5GJAKoJ8j9DkYkAqgnyP65/HNc06fE/rn8c1zTp8T+ufxzXNOnxP46ufbTDTPE/jq59tMNM8T+Orn20w0zxP46ufbTDTPE/q/sWMRRi7z+r+xYxFGLvP6v7FjEUYu8/OBWn4Zt36z84Fafhm3frPzgVp+Gbd+s/BAoVeSPX6j8EChV5I9fqPwQKFXkj1+o/BAoVeSPX6j8aW9mRaSTvPxpb2ZFpJO8/GlvZkWkk7z+80d/FdlTwP7zR38V2VPA/vNHfxXZU8D82Q3UdDy3zPzZDdR0PLfM/NkN1HQ8t8z82Q3UdDy3zP0P6dFcN9vM/Q/p0Vw328z9D+nRXDfbzP5nlAi1q8fI/meUCLWrx8j+Z5QItavHyPxg8v/ygFfE/GDy//KAV8T8YPL/8oBXxP8wWlS1+Te4/zBaVLX5N7j9A4Ye9TVvvP3YMzy61vOs/dgzPLrW86z92DM8utbzrPxb3ADBR7ug/FvcAMFHu6D8W9wAwUe7oPxb3ADBR7ug/ohvD4K3X5j+iG8PgrdfmPzQkP0pBHuc/yLIl0kKG5T/Ufqt/+1blP9R+q3/7VuU/YLhKyCs75D9guErIKzvkP2C4SsgrO+Q/YLhKyCs75D+RBvqBzlfjP5EG+oHOV+M/kQb6gc5X4z8/qAMc/aDiPyby5f8tguI/JvLl/y2C4j/UGZ/PSuzhP9QZn89K7OE/1Bmfz0rs4T/UGZ/PSuzhPyHKGxxDcOE/IcobHENw4T8hyhscQ3DhP3CEiqI3CeE/cISKojcJ4T9whIqiNwnhP5CfU1KFs+A/kJ9TUoWz4D+Qn1NShbPgP5CfU1KFs+A/Ulugdnts4D9SW6B2e2zgP1JboHZ7bOA/ggnqF14E4D+CCeoXXgTgP4IJ6hdeBOA/ohH+L3qk3z+iEf4veqTfP6IR/i96pN8/ohH+L3qk3z+O/qKBRFXfP47+ooFEVd8/jv6igURV3z+kh0k0nBnfP6SHSTScGd8/pIdJNJwZ3z+o5GybY/DeP6jkbJtj8N4/qORsm2Pw3j+o5GybY/DePwRJAcbG2N4/BEkBxsbY3j8ESQHGxtjeP/C2sx4q0t4/8LazHirS3j+jZWdcHdzeP6NlZ1wd3N4/o2VnXB3c3j+jZWdcHdzeP3q4d11R9t4/erh3XVH23j96uHddUfbeP0dRxt6PIN8/R1HG3o8g3z9HUcbejyDfP0SEZD20Wt8/RIRkPbRa3z9EhGQ9tFrfP0SEZD20Wt8/kk2em6Sk3z+STZ6bpKTfP5JNnpukpN8/Ytccpc004D9i1xylzTTgP2LXHKXNNOA/3ffybKdn4D/d9/Jsp2fgP9338mynZ+A/3ffybKdn4D8W0HIiBaLgPxbQciIFouA/FtByIgWi4D/I0yup2OPgP8jTK6nY4+A/yNMrqdjj4D/IykFPBS3hP8jKQU8FLeE/yMpBTwUt4T/IykFPBS3hPx8X5M5YfeE/Hxfkzlh94T/tgUQhya/hP0DqfU9fBOI/QOp9T18E4j9A6n1PXwTiP/IOS62DX+I/8g5LrYNf4j/yDkutg1/iP/IOS62DX+I/pqecUKzA4j+mp5xQrMDiPw7Dqn258eI/qsL9qA5s4z+m8Hr6wznjP6bwevrDOeM/oVqCLmTK4z+hWoIuZMrjP6Fagi5kyuM/oVqCLmTK4z8EpByx4GHkPwSkHLHgYeQ/BKQcseBh5D+gaAB1AQDlPw7Nl5glwuQ/Ds2XmCXC5D+qv8R55mDlP6q/xHnmYOU/qr/EeeZg5T+qv8R55mDlP98Ww1b+BeY/3xbDVv4F5j80ZqFldLHmPzRmoWV0seY/NGahZXSx5j++7Df6X2PnP77sN/pfY+c/vuw3+l9j5z++7Df6X2PnP5QNEiblG+g/lA0SJuUb6D+UDRIm5RvoP6xVrbbpcug/rFWttuly6D+sVa226XLoPwYUxFmfMuk/BhTEWZ8y6T8GFMRZnzLpPwYUxFmfMuk/moxQ2JL66T+ajFDYkvrpP5qMUNiS+uk/HP3/pDbL6j8c/f+kNsvqPxz9/6Q2y+o/Aqa54dqk6z8Cprnh2qTrPwKmueHapOs/Aqa54dqk6z8pFhP3mofsPykWE/eah+w/KRYT95qH7D8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H/+5py4c/3sP9S3JnpMc+0/1Lcmekxz7T/4wAJ1cWfuP/jAAnVxZ+4/+MACdXFn7j/4wAJ1cWfuP4k5HhkwY+8/iTkeGTBj7z+JOR4ZMGPvP5RcOL2oMvA/lFw4vagy8D+UXDi9qDLwP89o8BUktvA/z2jwFSS28D+ky8VYauHwP6TLxVhq4fA/IENSoS9g8T8gQ1KhL2DxPyBDUqEvYPE/1Mze5A/f8T/UzN7kD9/xP9TM3uQP3/E/0C7F40Bd8j/QLsXjQF3yP9AuxeNAXfI/0C7F40Bd8j9MN/Y69dnyP0w39jr12fI/TDf2OvXZ8j9RralwY1TzP1GtqXBjVPM/Ua2pcGNU8z+UUMNZzMvzP5RQw1nMy/M/lFDDWczL8z+UUMNZzMvzPwMYH1ooO/Q/AxgfWig79D8ZcCtgVaf0PxlwK2BVp/Q/GXArYFWn9D8ZxLH1Yg/1PxnEsfViD/U/GcSx9WIP9T8ZxLH1Yg/1PyxLyM3gcvU/Wk2+6Glj9T9aTb7oaWP1P9qw/7KJufU/2rD/som59T9c7dJMx8v1P2ZjSnSDFvY/ZmNKdIMW9j9mY0p0gxb2P2ZjSnSDFvY/xO+fZUNZ9j/E759lQ1n2P8Tvn2VDWfY/PvBL+72U9j8+8Ev7vZT2Pz7wS/u9lPY/bnFLekbm9j9ucUt6Rub2P25xS3pG5vY/bnFLekbm9j9fsDSKqBf3P1+wNIqoF/c/X7A0iqgX9z92LViSCUP3P3YtWJIJQ/c/di1YkglD9z9sUjsPyWj3P2xSOw/JaPc/bFI7D8lo9z9sUjsPyWj3P4K7TXg3ifc/grtNeDeJ9z+Cu014N4n3PwzvRW+YpPc/DO9Fb5ik9z8M70VvmKT3P8UXAXUku/c/xRcBdSS79z8tKCVGdt/3Py0oJUZ23/c/BDpbcJPy9z8EOltwk/L3PwQ6W3CT8vc/L4JNuAEB+D8vgk24AQH4Py+CTbgBAfg/Cne2COIK+D8Kd7YI4gr4Pwp3tgjiCvg/Cne2COIK+D/yjSbGThD4P/KNJsZOEPg/8o0mxk4Q+D8Q3OfMXBH4PxDc58xcEfg/ENznzFwR+D80r2h7HA74PzSvaHscDvg/NK9oexwO+D9KL6bamgb4P0ovptqaBvg/Si+m2poG+D8+CYr14vr3Pz4JivXi+vc/PgmK9eL69z/YS85u/+r3P9hLzm7/6vc/1ethIT7B9z/V62EhPsH3P5xZCbYerfc/nFkJth6t9z+cWQm2Hq33Pxpv6MLtlPc/Gm/owu2U9z8ab+jC7ZT3P8t9P4K0ePc/y30/grR49z/LfT+CtHj3P8t9P4K0ePc/eJn90IFY9z94mf3QgVj3P3iZ/dCBWPc/R7WnqWs09z9HtaepazT3P0e1p6lrNPc/CDnmmY8M9z8IOeaZjwz3Pwg55pmPDPc/CDnmmY8M9z9mkJcRHKv2P2aQlxEcq/Y/ZpCXERyr9j8KEZGYT3n2PwoRkZhPefY/ChGRmE959j8/4DNSCEP2Pz/gM1IIQ/Y/P+AzUghD9j8/4DNSCEP2P0QA1KgDCPY/vvsSf2y29T+++xJ/bLb1PywnGXzZO/U/LCcZfNk79T/TumaMxaP1P8PC8w4X+vQ/w8LzDhf69D/DwvMOF/r0P8PC8w4X+vQ/Q+G0GUYJ9D9D4bQZRgn0P0PhtBlGCfQ/Mbn0mF2t8j8xufSYXa3yPzG59JhdrfI/xvRBOhxG8j/G9EE6HEbyP8b0QTocRvI/xvRBOhxG8j9BYm06P1PwP0FibTo/U/A/2I4e1n9e7D/Yjh7Wf17sP9iOHtZ/Xuw/mnq7Gepi6T+aersZ6mLpP5p6uxnqYuk/mnq7Gepi6T9ed/cbotzpP1539xui3Ok/Xnf3G6Lc6T/WYx5AblPuP9ZjHkBuU+4/1mMeQG5T7j8E3nDN+Z/xPwTecM35n/E/eW+5PuGy7D95b7k+4bLsP+jf+meWWfA/6N/6Z5ZZ8D/o3/pnllnwP3ahL95Co/E/dqEv3kKj8T92oS/eQqPxP8CWveFECPI/wJa94UQI8j/Alr3hRAjyP8CWveFECPI/Q5GJAKoJ8j9DkYkAqgnyP0ORiQCqCfI/rn8c1zTp8T+ufxzXNOnxP65/HNc06fE/jq59tMNM8T+Orn20w0zxP46ufbTDTPE/jq59tMNM8T+r+xYxFGLvP6v7FjEUYu8/q/sWMRRi7z84Fafhm3frPzgVp+Gbd+s/OBWn4Zt36z8EChV5I9fqPwQKFXkj1+o/zvNHDnX/6z/O80cOdf/rP9I0LjO4L+s/0jQuM7gv6z/SNC4zuC/rP7zR38V2VPA/vNHfxXZU8D+80d/FdlTwPzZDdR0PLfM/NkN1HQ8t8z82Q3UdDy3zPzZDdR0PLfM/Q/p0Vw328z9D+nRXDfbzP0P6dFcN9vM/meUCLWrx8j+Z5QItavHyPxg8v/ygFfE/GDy//KAV8T8YPL/8oBXxPxg8v/ygFfE/QOGHvU1b7z9A4Ye9TVvvP0Dhh71NW+8/dgzPLrW86z92DM8utbzrP3YMzy61vOs/FvcAMFHu6D8W9wAwUe7oPxb3ADBR7ug/FvcAMFHu6D+iG8PgrdfmPzQkP0pBHuc/NCQ/SkEe5z/IsiXSQoblP8iyJdJChuU/1H6rf/tW5T9guErIKzvkP2C4SsgrO+Q/YLhKyCs75D9guErIKzvkP5EG+oHOV+M/kQb6gc5X4z+RBvqBzlfjPz+oAxz9oOI/P6gDHP2g4j8/qAMc/aDiP9QZn89K7OE/1Bmfz0rs4T/UGZ/PSuzhP9QZn89K7OE/IcobHENw4T8hyhscQ3DhPyHKGxxDcOE/cISKojcJ4T9whIqiNwnhP3CEiqI3CeE/kJ9TUoWz4D+Qn1NShbPgP5CfU1KFs+A/kJ9TUoWz4D9SW6B2e2zgP1JboHZ7bOA/Ulugdnts4D9a9QKdHjLgP1r1Ap0eMuA/WvUCnR4y4D8kkPk3+QLgPySQ+Tf5AuA/ohH+L3qk3z+iEf4veqTfP47+ooFEVd8/jv6igURV3z+O/qKBRFXfP6SHSTScGd8/pIdJNJwZ3z+kh0k0nBnfP6jkbJtj8N4/qORsm2Pw3j+o5GybY/DePwRJAcbG2N4/BEkBxsbY3j8ESQHGxtjeP/C2sx4q0t4/8LazHirS3j/wtrMeKtLeP6NlZ1wd3N4/o2VnXB3c3j+jZWdcHdzeP6NlZ1wd3N4/erh3XVH23j96uHddUfbeP3q4d11R9t4/R1HG3o8g3z9HUcbejyDfP0dRxt6PIN8/RIRkPbRa3z9EhGQ9tFrfP4RXXh5uy98/hFdeHm7L3z8ZJDoYfQngPxkkOhh9CeA/GSQ6GH0J4D9i1xylzTTgP2LXHKXNNOA/Ytccpc004D/d9/Jsp2fgP9338mynZ+A/3ffybKdn4D/d9/Jsp2fgPxbQciIFouA/FtByIgWi4D8W0HIiBaLgP8jTK6nY4+A/yNMrqdjj4D/I0yup2OPgP8jKQU8FLeE/yMpBTwUt4T/IykFPBS3hP8jKQU8FLeE/7YFEIcmv4T/tgUQhya/hP+2BRCHJr+E/QOp9T18E4j9A6n1PXwTiP0DqfU9fBOI/8g5LrYNf4j/yDkutg1/iP/IOS62DX+I/8g5LrYNf4j+mp5xQrMDiPw7Dqn258eI/DsOqfbnx4j+qwv2oDmzjP6rC/agObOM/pvB6+sM54z+hWoIuZMrjP6Fagi5kyuM/oVqCLmTK4z+hWoIuZMrjPwSkHLHgYeQ/BKQcseBh5D8EpByx4GHkP6BoAHUBAOU/oGgAdQEA5T+qv8R55mDlP6q/xHnmYOU/qr/EeeZg5T+qv8R55mDlP98Ww1b+BeY/3xbDVv4F5j/fFsNW/gXmPzRmoWV0seY/NGahZXSx5j80ZqFldLHmP77sN/pfY+c/vuw3+l9j5z++7Df6X2PnP77sN/pfY+c/lA0SJuUb6D+UDRIm5RvoP5QNEiblG+g/1qBEjC/b6D/WoESML9voP9agRIwv2+g/V4hueGuh6T9XiG54a6HpPwYUxFmfMuk/BhTEWZ8y6T+ajFDYkvrpP5qMUNiS+uk/moxQ2JL66T8c/f+kNsvqPxz9/6Q2y+o/HP3/pDbL6j8Cprnh2qTrPwKmueHapOs/Aqa54dqk6z8Cprnh2qTrPykWE/eah+w/KRYT95qH7D8pFhP3mofsPwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4fwAAAAAAAPh/AAAAAAAA+H8AAAAAAAD4f/2O/YjE/uw/1Lcmekxz7T/UtyZ6THPtP/jAAnVxZ+4/+MACdXFn7j9rrV33xdnuP2utXffF2e4/YELD0z/O7z9gQsPTP87vP2BCw9M/zu8/dI5wCoBj8D90jnAKgGPwP3SOcAqAY/A/pMvFWGrh8D+ky8VYauHwP6TLxVhq4fA/pMvFWGrh8D8gQ1KhL2DxPyBDUqEvYPE/IENSoS9g8T/UzN7kD9/xP9TM3uQP3/E/1Mze5A/f8T/QLsXjQF3yP9AuxeNAXfI/0C7F40Bd8j/QLsXjQF3yP0w39jr12fI/TDf2OvXZ8j9MN/Y69dnyP1GtqXBjVPM/Ua2pcGNU8z9RralwY1TzP5RQw1nMy/M/9nBypFnL8z/2cHKkWcvzP/ZwcqRZy/M/AxgfWig79D8DGB9aKDv0PwMYH1ooO/Q/GXArYFWn9D8ZcCtgVaf0PxlwK2BVp/Q/GcSx9WIP9T8ZxLH1Yg/1PxnEsfViD/U/Wk2+6Glj9T9aTb7oaWP1P1pNvuhpY/U/2rD/som59T/asP+yibn1P9qw/7KJufU/riFesREA9j9mY0p0gxb2P2ZjSnSDFvY/ZmNKdIMW9j/E759lQ1n2P8Tvn2VDWfY/xO+fZUNZ9j8+8Ev7vZT2Pz7wS/u9lPY/PvBL+72U9j+K3W5TjMn2P4rdblOMyfY/it1uU4zJ9j9ucUt6Rub2P1+wNIqoF/c/X7A0iqgX9z9fsDSKqBf3P3YtWJIJQ/c/di1YkglD9z92LViSCUP3P2xSOw/JaPc/bFI7D8lo9z9sUjsPyWj3P2xSOw/JaPc/grtNeDeJ9z+Cu014N4n3P4K7TXg3ifc/DO9Fb5ik9z8M70VvmKT3PwzvRW+YpPc/xRcBdSS79z/FFwF1JLv3P8UXAXUku/c/xRcBdSS79z9m+PJECs33P2b48kQKzfc/ZvjyRArN9z8m8P/xb9r3Pybw//Fv2vc/JvD/8W/a9z8jv83ac+P3PyO/zdpz4/c/Cne2COIK+D8Kd7YI4gr4P/KNJsZOEPg/8o0mxk4Q+D/yjSbGThD4PxDc58xcEfg/ENznzFwR+D8Q3OfMXBH4PzSvaHscDvg/NK9oexwO+D9K/MtJA+X3P0r8y0kD5fc/m/EyKTTd9z+b8TIpNN33PzZFkIVG0fc/NkWQhUbR9z82RZCFRtH3P9XrYSE+wfc/1ethIT7B9z/V62EhPsH3P9XrYSE+wfc/nFkJth6t9z+cWQm2Hq33P5xZCbYerfc/Gm/owu2U9z8ab+jC7ZT3Pxpv6MLtlPc/y30/grR49z/LfT+CtHj3P8t9P4K0ePc/y30/grR49z94mf3QgVj3P3iZ/dCBWPc/eJn90IFY9z9HtaepazT3P0e1p6lrNPc/R7WnqWs09z8IOeaZjwz3P2Ize62U2PY/YjN7rZTY9j9iM3utlNj2P2aQlxEcq/Y/ZpCXERyr9j9mkJcRHKv2PwoRkZhPefY/ChGRmE959j8KEZGYT3n2Pz/gM1IIQ/Y/P+AzUghD9j8/4DNSCEP2P0Ds/V87+fU/vvsSf2y29T+++xJ/bLb1P777En9stvU/LCcZfNk79T8sJxl82Tv1PywnGXzZO/U/5GGZZchi9D/DwvMOF/r0P8PC8w4X+vQ/w8LzDhf69D9D4bQZRgn0P0PhtBlGCfQ/Q+G0GUYJ9D8xufSYXa3yPzG59JhdrfI/Mbn0mF2t8j8njZfKRs3wPyeNl8pGzfA/J42XykbN8D/G9EE6HEbyP0FibTo/U/A/QWJtOj9T8D/Yjh7Wf17sP9iOHtZ/Xuw/2I4e1n9e7D+aersZ6mLpP5p6uxnqYuk/mnq7Gepi6T+aersZ6mLpP1539xui3Ok/Xnf3G6Lc6T9ed/cbotzpP9ZjHkBuU+4/1mMeQG5T7j/WYx5AblPuPwTecM35n/E/BN5wzfmf8T8E3nDN+Z/xPwTecM35n/E/hCqUPUQi8j+EKpQ9RCLyP4QqlD1EIvI/+K9AqhQC8T/4r0CqFALxP/ivQKoUAvE/GqiHGTzd7z8aqIcZPN3vP8CWveFECPI/wJa94UQI8j9DkYkAqgnyP0ORiQCqCfI/Q5GJAKoJ8j+ufxzXNOnxP65/HNc0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-       "  var render_items = [{\"docid\":\"f700c420-516a-4f59-b8b9-84eaab49fe09\",\"roots\":{\"p1011\":\"a38ab018-4810-4b1b-bb38-258c7b3dce52\"},\"root_ids\":[\"p1011\"]}];\n",
-       "  var docs = Object.values(docs_json)\n",
-       "  if (!docs) {\n",
-       "    return\n",
-       "  }\n",
-       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  async function embed_document(root) {\n",
-       "    var Bokeh = get_bokeh(root)\n",
-       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
-       "    for (const render_item of render_items) {\n",
-       "      for (const root_id of render_item.root_ids) {\n",
-       "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
-       "\t  const root_el = id_el.children[0]\n",
-       "\t  root_el.id = root_el.id + '-rendered'\n",
-       "\t  for (const child of root_el.children) {\n",
-       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
-       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
-       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
-       "\t  }\n",
-       "\t}\n",
-       "      }\n",
-       "    }\n",
-       "  }\n",
-       "  function get_bokeh(root) {\n",
-       "    if (root.Bokeh === undefined) {\n",
-       "      return null\n",
-       "    } else if (root.Bokeh.version !== py_version) {\n",
-       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
-       "\treturn null\n",
-       "      }\n",
-       "      return root.Bokeh.versions.get(py_version);\n",
-       "    } else if (root.Bokeh.version === py_version) {\n",
-       "      return root.Bokeh\n",
-       "    }\n",
-       "    return null\n",
-       "  }\n",
-       "  function is_loaded(root) {\n",
-       "    var Bokeh = get_bokeh(root)\n",
-       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
-       "  }\n",
-       "  if (is_loaded(root)) {\n",
-       "    embed_document(root);\n",
-       "  } else {\n",
-       "    var attempts = 0;\n",
-       "    var timer = setInterval(function(root) {\n",
-       "      if (is_loaded(root)) {\n",
-       "        clearInterval(timer);\n",
-       "        embed_document(root);\n",
-       "      } else if (document.readyState == \"complete\") {\n",
-       "        attempts++;\n",
-       "        if (attempts > 200) {\n",
-       "          clearInterval(timer);\n",
-       "\t  var Bokeh = get_bokeh(root)\n",
-       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
-       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
-       "\t  } else {\n",
-       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
-       "\t    embed_document(root)\n",
-       "\t  }\n",
-       "        }\n",
-       "      }\n",
-       "    }, 25, root)\n",
-       "  }\n",
-       "})(window);</script>"
-      ],
-      "text/plain": [
-       ":DynamicMap   []\n",
-       "   :Image   [Longitude,Latitude]   (Longitude_Latitude psi)"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {
-      "application/vnd.holoviews_exec.v0+json": {
-       "id": "p1011"
-      }
-     },
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "base_path = \"../../test/meshfiles/ugrid/outCSne30/\"\n",
     "grid_path = base_path + \"outCSne30.ug\"\n",
     "data_path = base_path + \"outCSne30_vortex.nc\"\n",
     "\n",
     "uxds = ux.open_dataset(grid_path, data_path)\n",
-    "uxds[\"psi\"].plot(cmap=\"inferno\", periodic_elements=\"split\", projection=projection)"
+    "uxds[\"psi\"].plot(\n",
+    "    cmap=\"inferno\",\n",
+    "    periodic_elements=\"split\",\n",
+    "    projection=projection,\n",
+    "    title=\"Global Plot\",\n",
+    ")"
    ]
   },
   {
@@ -756,12 +69,15 @@
    "id": "a7a40958-0a4d-47e4-9e38-31925261a892",
    "metadata": {},
    "source": [
-    "## Constant Latitude"
+    "## Constant Latitude\n",
+    "\n",
+    "Cross sections at constant latitudes can be performed using the ``constant_latitude_cross_section`` methods on either a ``ux.Grid`` or ``ux.DataArray``\n",
+    "\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "id": "3775daa1-2f1d-4738-bab5-2b69ebd689d9",
    "metadata": {},
    "outputs": [],
@@ -773,106 +89,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "id": "484b77a6-86da-4395-9e63-f5ac56e37deb",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {},
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.holoviews_exec.v0+json": "",
-      "text/html": [
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-       "</div>\n",
-       "<script type=\"application/javascript\">(function(root) {\n",
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\"},\"shape\":[733],\"dtype\":\"float64\",\"order\":\"little\"},{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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Ticker\",\"id\":\"p4965\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p4966\"},\"axis_label\":\"Longitude\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p4967\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p4968\",\"attributes\":{\"axis\":{\"id\":\"p4964\"},\"grid_line_color\":null}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p4973\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p4969\"},\"grid_line_color\":null}}],\"frame_width\":591,\"frame_height\":300,\"min_border_top\":10,\"min_border_bottom\":10,\"min_border_left\":10,\"min_border_right\":10,\"output_backend\":\"webgl\",\"match_aspect\":true}},{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p5038\",\"attributes\":{\"name\":\"HSpacer04514\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p4897\"},{\"id\":\"p4895\"},{\"id\":\"p4896\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}}]}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
-       "  var render_items = [{\"docid\":\"23433ae4-543a-4806-8f61-d2856099bbe2\",\"roots\":{\"p4894\":\"e5e3de37-8428-405b-b485-53df4172bf57\"},\"root_ids\":[\"p4894\"]}];\n",
-       "  var docs = Object.values(docs_json)\n",
-       "  if (!docs) {\n",
-       "    return\n",
-       "  }\n",
-       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  async function embed_document(root) {\n",
-       "    var Bokeh = get_bokeh(root)\n",
-       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
-       "    for (const render_item of render_items) {\n",
-       "      for (const root_id of render_item.root_ids) {\n",
-       "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
-       "\t  const root_el = id_el.children[0]\n",
-       "\t  root_el.id = root_el.id + '-rendered'\n",
-       "\t  for (const child of root_el.children) {\n",
-       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
-       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
-       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
-       "\t  }\n",
-       "\t}\n",
-       "      }\n",
-       "    }\n",
-       "  }\n",
-       "  function get_bokeh(root) {\n",
-       "    if (root.Bokeh === undefined) {\n",
-       "      return null\n",
-       "    } else if (root.Bokeh.version !== py_version) {\n",
-       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
-       "\treturn null\n",
-       "      }\n",
-       "      return root.Bokeh.versions.get(py_version);\n",
-       "    } else if (root.Bokeh.version === py_version) {\n",
-       "      return root.Bokeh\n",
-       "    }\n",
-       "    return null\n",
-       "  }\n",
-       "  function is_loaded(root) {\n",
-       "    var Bokeh = get_bokeh(root)\n",
-       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
-       "  }\n",
-       "  if (is_loaded(root)) {\n",
-       "    embed_document(root);\n",
-       "  } else {\n",
-       "    var attempts = 0;\n",
-       "    var timer = setInterval(function(root) {\n",
-       "      if (is_loaded(root)) {\n",
-       "        clearInterval(timer);\n",
-       "        embed_document(root);\n",
-       "      } else if (document.readyState == \"complete\") {\n",
-       "        attempts++;\n",
-       "        if (attempts > 200) {\n",
-       "          clearInterval(timer);\n",
-       "\t  var Bokeh = get_bokeh(root)\n",
-       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
-       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
-       "\t  } else {\n",
-       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
-       "\t    embed_document(root)\n",
-       "\t  }\n",
-       "        }\n",
-       "      }\n",
-       "    }, 25, root)\n",
-       "  }\n",
-       "})(window);</script>"
-      ],
-      "text/plain": [
-       ":Overlay\n",
-       "   .Polygons.I  :Polygons   [Longitude,Latitude]   (psi)\n",
-       "   .Coastline.I :Feature   [Longitude,Latitude]\n",
-       "   .Grid.I      :Feature   [Longitude,Latitude]"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {
-      "application/vnd.holoviews_exec.v0+json": {
-       "id": "p4894"
-      }
-     },
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "(\n",
     "    uxda_constant_lat.plot(\n",
@@ -890,19 +110,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "id": "1cbee722-34a4-4e67-8e22-f393d7d36c99",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Global Mean: 1.0000000015332655\n",
-      "Mean at 30 degrees lat: 0.9797216779775056\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "print(f\"Global Mean: {uxds['psi'].data.mean()}\")\n",
     "print(f\"Mean at {lat} degrees lat: {uxda_constant_lat.data.mean()}\")"
@@ -916,6 +127,16 @@
     "## Constant Longitude"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "9fcc8ec5-c6a8-4bde-a33d-7f37f9116ee2",
+   "metadata": {},
+   "source": [
+    "```{warning}\n",
+    "Constant longitude cross sections are not yet supported.\n",
+    "```"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "54d9eff1-67f1-4691-a3b0-1ee0c874c98f",
@@ -923,6 +144,16 @@
    "source": [
     "## Arbitrary Great Circle Arc (GCA)"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ea94ff9f-fe86-470d-813b-45f32a633ffc",
+   "metadata": {},
+   "source": [
+    "```{warning}\n",
+    "Arbitrary great circle arc cross sections are not yet supported.\n",
+    "```"
+   ]
   }
  ],
  "metadata": {

From b974436aed251d92b01c513e3091920b8be911d2 Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Mon, 7 Oct 2024 12:40:22 -0500
Subject: [PATCH 16/25] add docstring for uxda

---
 uxarray/core/dataarray.py | 32 ++++++++++++++++++++++++++++++--
 1 file changed, 30 insertions(+), 2 deletions(-)

diff --git a/uxarray/core/dataarray.py b/uxarray/core/dataarray.py
index 36f5ad55e..e1d075b01 100644
--- a/uxarray/core/dataarray.py
+++ b/uxarray/core/dataarray.py
@@ -1122,7 +1122,35 @@ def _slice_from_grid(self, sliced_grid):
             attrs=self.attrs,
         )
 
-    def constant_latitude_cross_section(self, lat: float):
-        faces = self.uxgrid.get_faces_at_constant_latitude(lat)
+    def constant_latitude_cross_section(self, lat: float, method="fast"):
+        """Extracts a cross-section of the data array at a specified constant
+        latitude.
+
+        Parameters
+        ----------
+        lat : float
+            The latitude at which to extract the cross-section, in degrees.
+        method : str, optional
+            The internal method to use when identifying faces at the constant latitude.
+            Options are:
+            - 'fast': Uses a faster but potentially less accurate method for face identification.
+            - 'accurate': Uses a slower but more accurate method.
+            Default is 'fast'.
+
+        Raises
+        ------
+        ValueError
+            If no intersections are found at the specified latitude, a ValueError is raised.
+
+        Examples
+        --------
+        >>> uxda.constant_latitude_cross_section(lat=-15.5)
+
+        Notes
+        -----
+        The accuracy and performance of the function can be controlled using the `method` parameter.
+        For higher precision requreiments, consider using method='acurate'.
+        """
+        faces = self.uxgrid.get_faces_at_constant_latitude(lat, method)
 
         return self.isel(n_face=faces)

From c1d05382b90a1927ea962380ca4d873b1598b7ae Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Mon, 7 Oct 2024 12:41:27 -0500
Subject: [PATCH 17/25] update docstring of intersections

---
 uxarray/grid/intersections.py | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/uxarray/grid/intersections.py b/uxarray/grid/intersections.py
index ddb3d3919..a846c04c0 100644
--- a/uxarray/grid/intersections.py
+++ b/uxarray/grid/intersections.py
@@ -18,10 +18,6 @@ def fast_constant_lat_intersections(lat, edge_node_z, n_edge):
     ----------
     lat:
         Constant latitude value in radians.
-    edge_node_x:
-        Array of shape (n_edge, 2) containing x-coordinates of the edge nodes.
-    edge_node_y:
-        Array of shape (n_edge, 2) containing y-coordinates of the edge nodes.
     edge_node_z:
         Array of shape (n_edge, 2) containing z-coordinates of the edge nodes.
     n_edge:
@@ -30,7 +26,7 @@ def fast_constant_lat_intersections(lat, edge_node_z, n_edge):
     Returns
     -------
     intersecting_edges:
-        List of indices of edges that intersect the constant latitude.
+        array of indices of edges that intersect the constant latitude.
     """
     lat = np.deg2rad(lat)
 

From d2ab10f51a1046c808433b675c0f15f9b4cf5e04 Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Mon, 7 Oct 2024 12:43:28 -0500
Subject: [PATCH 18/25] fix benchmark

---
 benchmarks/mpas_ocean.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/benchmarks/mpas_ocean.py b/benchmarks/mpas_ocean.py
index d78a5a815..f70adb11a 100644
--- a/benchmarks/mpas_ocean.py
+++ b/benchmarks/mpas_ocean.py
@@ -159,4 +159,4 @@ class CrossSections(DatasetBenchmark):
     params = DatasetBenchmark.params + [[1, 2, 4, 8]]
     def time_constant_lat_fast(self, resolution, n_lat):
         for lat in np.linspace(-89, 89, n_lat):
-            self.uxds.uxgrid.constant_lazitude_cross_section(lat, method='fast')
+            self.uxds.uxgrid.constant_latitude_cross_section(lat, method='fast')

From 32dde5fb6a78723a45bf280a6bb3b654c0a81b50 Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Mon, 7 Oct 2024 15:00:04 -0500
Subject: [PATCH 19/25] add tests for north and south pole

---
 test/test_cross_sections.py | 24 ++++++++++++++++++++++++
 1 file changed, 24 insertions(+)

diff --git a/test/test_cross_sections.py b/test/test_cross_sections.py
index 83761e031..d6625b37d 100644
--- a/test/test_cross_sections.py
+++ b/test/test_cross_sections.py
@@ -10,6 +10,8 @@
 quad_hex_grid_path = current_path / 'meshfiles' / "ugrid" / "quad-hexagon" / 'grid.nc'
 quad_hex_data_path = current_path / 'meshfiles' / "ugrid" / "quad-hexagon" / 'data.nc'
 
+cube_sphere_grid = current_path / "meshfiles" / "geos-cs" / "c12" / "test-c12.native.nc4"
+
 
 
 class TestQuadHex:
@@ -68,3 +70,25 @@ def test_constant_lat_cross_section_uxds(self):
         with pytest.raises(ValueError):
             # no intersections found at this line
             uxds['t2m'].constant_latitude_cross_section(lat=10.0)
+
+
+class TestGeosCubeSphere:
+    def test_north_pole(self):
+        uxgrid = ux.open_grid(cube_sphere_grid)
+
+        lats = [89.85, 89.9, 89.95, 89.99]
+
+        for lat in lats:
+            cross_grid = uxgrid.constant_latitude_cross_section(lat=lat)
+            # Cube sphere grid should have 4 faces centered around the pole
+            assert cross_grid.n_face == 4
+
+    def test_south_pole(self):
+        uxgrid = ux.open_grid(cube_sphere_grid)
+
+        lats = [-89.85, -89.9, -89.95, -89.99]
+
+        for lat in lats:
+            cross_grid = uxgrid.constant_latitude_cross_section(lat=lat)
+            # Cube sphere grid should have 4 faces centered around the pole
+            assert cross_grid.n_face == 4

From d7c9714cf816615d9af76b30931397f30342a791 Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <67855069+philipc2@users.noreply.github.com>
Date: Mon, 7 Oct 2024 15:49:22 -0500
Subject: [PATCH 20/25] Update intersections.py

---
 uxarray/grid/intersections.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/uxarray/grid/intersections.py b/uxarray/grid/intersections.py
index a846c04c0..5159b6167 100644
--- a/uxarray/grid/intersections.py
+++ b/uxarray/grid/intersections.py
@@ -17,7 +17,7 @@ def fast_constant_lat_intersections(lat, edge_node_z, n_edge):
     Parameters
     ----------
     lat:
-        Constant latitude value in radians.
+        Constant latitude value in degrees.
     edge_node_z:
         Array of shape (n_edge, 2) containing z-coordinates of the edge nodes.
     n_edge:

From 07db497ace0f3e76901390c3d82ccd40cf5c5226 Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Mon, 7 Oct 2024 20:53:58 -0500
Subject: [PATCH 21/25] update user guide

---
 docs/user-guide/cross-sections.ipynb | 33 +++++++++++++++++++++-------
 1 file changed, 25 insertions(+), 8 deletions(-)

diff --git a/docs/user-guide/cross-sections.ipynb b/docs/user-guide/cross-sections.ipynb
index b3886efe9..7d3468608 100644
--- a/docs/user-guide/cross-sections.ipynb
+++ b/docs/user-guide/cross-sections.ipynb
@@ -7,20 +7,18 @@
    "source": [
     "# Cross-Sections\n",
     "\n",
-    "This section showcases how to obtain cross-sections of an unstructured grid using UXarray.\n"
+    "This section demonstrates how to extract cross-sections from an unstructured grid using UXarray, which allows the analysis and visualization across slices of grids.\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "id": "b35ba4a2c30750e4",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-10-05T15:19:46.812562Z",
-     "start_time": "2024-10-05T15:19:41.546324Z"
+     "end_time": "2024-10-08T01:49:10.528008Z",
+     "start_time": "2024-10-08T01:49:10.522526Z"
     }
    },
-   "outputs": [],
    "source": [
     "import uxarray as ux\n",
     "import geoviews.feature as gf\n",
@@ -29,7 +27,9 @@
     "import geoviews as gv\n",
     "\n",
     "projection = ccrs.Robinson()"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": 9
   },
   {
    "cell_type": "markdown",
@@ -71,10 +71,15 @@
    "source": [
     "## Constant Latitude\n",
     "\n",
-    "Cross sections at constant latitudes can be performed using the ``constant_latitude_cross_section`` methods on either a ``ux.Grid`` or ``ux.DataArray``\n",
-    "\n"
+    "Cross-sections along constant latitude lines can be obtained using the ``constant_latitude_cross_section`` method, available for both ``ux.Grid`` and ``ux.DataArray`` objects. This functionality allows users to extract and analyze slices of data at specified latitudes, providing insights into variations along horizontal sections of the grid.\n"
    ]
   },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "For example, we can obtain a cross-section at 30 degrees latitude by doing the following:",
+   "id": "2fbe9f6e5bb59a17"
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -87,6 +92,12 @@
     "uxda_constant_lat = uxds[\"psi\"].constant_latitude_cross_section(lat)"
    ]
   },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "Since the result is a new ``UxDataArray``, we can directly plot the result to see the cross-section.",
+   "id": "dcec0b96b92e7f4"
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -108,6 +119,12 @@
     ")"
    ]
   },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "You can also perform operations on the cross-section, such as taking the mean.",
+   "id": "c7cca7de4722c121"
+  },
   {
    "cell_type": "code",
    "execution_count": null,

From 61f6383df316c1c0fe29efab9e71b4289f8c3b77 Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <67855069+philipc2@users.noreply.github.com>
Date: Wed, 9 Oct 2024 11:34:13 -0500
Subject: [PATCH 22/25] Delete docs/user-guide/grid.nc

---
 docs/user-guide/grid.nc | Bin 26574 -> 0 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 docs/user-guide/grid.nc

diff --git a/docs/user-guide/grid.nc b/docs/user-guide/grid.nc
deleted file mode 100644
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AbpQYW


From 5dbb557593adcab2b2a0490f3e1c5e87736d7adb Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Wed, 9 Oct 2024 12:49:58 -0500
Subject: [PATCH 23/25] use accessor

---
 test/test_cross_sections.py                  | 20 ++---
 uxarray/core/dataarray.py                    | 35 +-------
 uxarray/cross_sections/__init__.py           |  7 ++
 uxarray/cross_sections/dataarray_accessor.py | 70 +++++++++++++++
 uxarray/cross_sections/grid_accessor.py      | 95 ++++++++++++++++++++
 uxarray/grid/grid.py                         | 66 ++------------
 6 files changed, 189 insertions(+), 104 deletions(-)
 create mode 100644 uxarray/cross_sections/__init__.py
 create mode 100644 uxarray/cross_sections/dataarray_accessor.py
 create mode 100644 uxarray/cross_sections/grid_accessor.py

diff --git a/test/test_cross_sections.py b/test/test_cross_sections.py
index d6625b37d..26bf8777c 100644
--- a/test/test_cross_sections.py
+++ b/test/test_cross_sections.py
@@ -35,41 +35,41 @@ class TestQuadHex:
     def test_constant_lat_cross_section_grid(self):
         uxgrid = ux.open_grid(quad_hex_grid_path)
 
-        grid_top_two = uxgrid.constant_latitude_cross_section(lat=0.1)
+        grid_top_two = uxgrid.cross_section.constant_latitude(lat=0.1)
 
         assert grid_top_two.n_face == 2
 
-        grid_bottom_two = uxgrid.constant_latitude_cross_section(lat=-0.1)
+        grid_bottom_two = uxgrid.cross_section.constant_latitude(lat=-0.1)
 
         assert grid_bottom_two.n_face == 2
 
-        grid_all_four = uxgrid.constant_latitude_cross_section(lat=0.0)
+        grid_all_four = uxgrid.cross_section.constant_latitude(lat=0.0)
 
         assert grid_all_four.n_face == 4
 
         with pytest.raises(ValueError):
             # no intersections found at this line
-            uxgrid.constant_latitude_cross_section(lat=10.0)
+            uxgrid.cross_section.constant_latitude(lat=10.0)
 
 
     def test_constant_lat_cross_section_uxds(self):
         uxds = ux.open_dataset(quad_hex_grid_path, quad_hex_data_path)
 
-        da_top_two = uxds['t2m'].constant_latitude_cross_section(lat=0.1)
+        da_top_two = uxds['t2m'].cross_section.constant_latitude(lat=0.1)
 
         nt.assert_array_equal(da_top_two.data, uxds['t2m'].isel(n_face=[1, 2]).data)
 
-        da_bottom_two = uxds['t2m'].constant_latitude_cross_section(lat=-0.1)
+        da_bottom_two = uxds['t2m'].cross_section.constant_latitude(lat=-0.1)
 
         nt.assert_array_equal(da_bottom_two.data, uxds['t2m'].isel(n_face=[0, 3]).data)
 
-        da_all_four = uxds['t2m'].constant_latitude_cross_section(lat=0.0)
+        da_all_four = uxds['t2m'].cross_section.constant_latitude(lat=0.0)
 
         nt.assert_array_equal(da_all_four.data , uxds['t2m'].data)
 
         with pytest.raises(ValueError):
             # no intersections found at this line
-            uxds['t2m'].constant_latitude_cross_section(lat=10.0)
+            uxds['t2m'].cross_section.constant_latitude(lat=10.0)
 
 
 class TestGeosCubeSphere:
@@ -79,7 +79,7 @@ def test_north_pole(self):
         lats = [89.85, 89.9, 89.95, 89.99]
 
         for lat in lats:
-            cross_grid = uxgrid.constant_latitude_cross_section(lat=lat)
+            cross_grid = uxgrid.cross_section.constant_latitude(lat=lat)
             # Cube sphere grid should have 4 faces centered around the pole
             assert cross_grid.n_face == 4
 
@@ -89,6 +89,6 @@ def test_south_pole(self):
         lats = [-89.85, -89.9, -89.95, -89.99]
 
         for lat in lats:
-            cross_grid = uxgrid.constant_latitude_cross_section(lat=lat)
+            cross_grid = uxgrid.cross_section.constant_latitude(lat=lat)
             # Cube sphere grid should have 4 faces centered around the pole
             assert cross_grid.n_face == 4
diff --git a/uxarray/core/dataarray.py b/uxarray/core/dataarray.py
index e1d075b01..beb839856 100644
--- a/uxarray/core/dataarray.py
+++ b/uxarray/core/dataarray.py
@@ -30,6 +30,7 @@
 from uxarray.plot.accessor import UxDataArrayPlotAccessor
 from uxarray.subset import DataArraySubsetAccessor
 from uxarray.remap import UxDataArrayRemapAccessor
+from uxarray.cross_sections import UxDataArrayCrossSectionAccessor
 from uxarray.core.aggregation import _uxda_grid_aggregate
 
 import warnings
@@ -82,6 +83,7 @@ def __init__(self, *args, uxgrid: Grid = None, **kwargs):
     plot = UncachedAccessor(UxDataArrayPlotAccessor)
     subset = UncachedAccessor(DataArraySubsetAccessor)
     remap = UncachedAccessor(UxDataArrayRemapAccessor)
+    cross_section = UncachedAccessor(UxDataArrayCrossSectionAccessor)
 
     def _repr_html_(self) -> str:
         if OPTIONS["display_style"] == "text":
@@ -1121,36 +1123,3 @@ def _slice_from_grid(self, sliced_grid):
             dims=self.dims,
             attrs=self.attrs,
         )
-
-    def constant_latitude_cross_section(self, lat: float, method="fast"):
-        """Extracts a cross-section of the data array at a specified constant
-        latitude.
-
-        Parameters
-        ----------
-        lat : float
-            The latitude at which to extract the cross-section, in degrees.
-        method : str, optional
-            The internal method to use when identifying faces at the constant latitude.
-            Options are:
-            - 'fast': Uses a faster but potentially less accurate method for face identification.
-            - 'accurate': Uses a slower but more accurate method.
-            Default is 'fast'.
-
-        Raises
-        ------
-        ValueError
-            If no intersections are found at the specified latitude, a ValueError is raised.
-
-        Examples
-        --------
-        >>> uxda.constant_latitude_cross_section(lat=-15.5)
-
-        Notes
-        -----
-        The accuracy and performance of the function can be controlled using the `method` parameter.
-        For higher precision requreiments, consider using method='acurate'.
-        """
-        faces = self.uxgrid.get_faces_at_constant_latitude(lat, method)
-
-        return self.isel(n_face=faces)
diff --git a/uxarray/cross_sections/__init__.py b/uxarray/cross_sections/__init__.py
new file mode 100644
index 000000000..8694cabca
--- /dev/null
+++ b/uxarray/cross_sections/__init__.py
@@ -0,0 +1,7 @@
+from .dataarray_accessor import UxDataArrayCrossSectionAccessor
+from .grid_accessor import GridCrossSectionAccessor
+
+__all__ = (
+    "GridCrossSectionAccessor",
+    "UxDataArrayCrossSectionAccessor",
+)
diff --git a/uxarray/cross_sections/dataarray_accessor.py b/uxarray/cross_sections/dataarray_accessor.py
new file mode 100644
index 000000000..d840892b6
--- /dev/null
+++ b/uxarray/cross_sections/dataarray_accessor.py
@@ -0,0 +1,70 @@
+from __future__ import annotations
+
+
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    pass
+
+
+class UxDataArrayCrossSectionAccessor:
+    """Accessor for cross-section operations on a ``UxDataArray``"""
+
+    def __init__(self, uxda) -> None:
+        self.uxda = uxda
+
+    def __repr__(self):
+        prefix = "<uxarray.UxDataArray.cross_section>\n"
+        methods_heading = "Supported Methods:\n"
+
+        methods_heading += "  * constant_latitude(center_coord, k, element, **kwargs)\n"
+
+        return prefix + methods_heading
+
+    def constant_latitude(self, lat: float, method="fast"):
+        """Extracts a cross-section of the data array at a specified constant
+        latitude.
+
+        Parameters
+        ----------
+        lat : float
+            The latitude at which to extract the cross-section, in degrees.
+        method : str, optional
+            The internal method to use when identifying faces at the constant latitude.
+            Options are:
+            - 'fast': Uses a faster but potentially less accurate method for face identification.
+            - 'accurate': Uses a slower but more accurate method.
+            Default is 'fast'.
+
+        Raises
+        ------
+        ValueError
+            If no intersections are found at the specified latitude, a ValueError is raised.
+
+        Examples
+        --------
+        >>> uxda.constant_latitude_cross_section(lat=-15.5)
+
+        Notes
+        -----
+        The accuracy and performance of the function can be controlled using the `method` parameter.
+        For higher precision requreiments, consider using method='acurate'.
+        """
+        faces = self.uxda.uxgrid.get_faces_at_constant_latitude(lat, method)
+
+        return self.uxda.isel(n_face=faces)
+
+    def constant_longitude(self, *args, **kwargs):
+        raise NotImplementedError
+
+    def gca(self, *args, **kwargs):
+        raise NotImplementedError
+
+    def bounded_latitude(self, *args, **kwargs):
+        raise NotImplementedError
+
+    def bounded_longitude(self, *args, **kwargs):
+        raise NotImplementedError
+
+    def gca_gca(self, *args, **kwargs):
+        raise NotImplementedError
diff --git a/uxarray/cross_sections/grid_accessor.py b/uxarray/cross_sections/grid_accessor.py
new file mode 100644
index 000000000..067e8f5fb
--- /dev/null
+++ b/uxarray/cross_sections/grid_accessor.py
@@ -0,0 +1,95 @@
+from __future__ import annotations
+
+
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from uxarray.grid import Grid
+
+
+class GridCrossSectionAccessor:
+    """Accessor for cross-section operations on a ``Grid``"""
+
+    def __init__(self, uxgrid: Grid) -> None:
+        self.uxgrid = uxgrid
+
+    def __repr__(self):
+        prefix = "<uxarray.Grid.cross_section>\n"
+        methods_heading = "Supported Methods:\n"
+
+        methods_heading += "  * constant_latitude(lat, )\n"
+        return prefix + methods_heading
+
+    def constant_latitude(self, lat: float, return_face_indices=False, method="fast"):
+        """Extracts a cross-section of the grid at a specified constant
+        latitude.
+
+        This method identifies and returns all faces (or grid elements) that intersect
+        with a given latitude. The returned cross-section can include either just the grid
+        or both the grid elements and the corresponding face indices, depending
+        on the `return_face_indices` parameter.
+
+        Parameters
+        ----------
+        lat : float
+            The latitude at which to extract the cross-section, in degrees.
+        return_face_indices : bool, optional
+            If True, returns both the grid at the specified latitude and the indices
+            of the intersecting faces. If False, only the grid is returned.
+            Default is False.
+        method : str, optional
+            The internal method to use when identifying faces at the constant latitude.
+            Options are:
+            - 'fast': Uses a faster but potentially less accurate method for face identification.
+            - 'accurate': Uses a slower but more accurate method.
+            Default is 'fast'.
+
+        Returns
+        -------
+        grid_at_constant_lat : Grid
+            The grid with faces that interesected at a given lattitude
+        faces : array, optional
+            The indices of the faces that intersect with the specified latitude. This is only
+            returned if `return_face_indices` is set to True.
+
+        Raises
+        ------
+        ValueError
+            If no intersections are found at the specified latitude, a ValueError is raised.
+
+        Examples
+        --------
+        >>> grid, indices = grid.cross_section.constant_latitude(lat=30.0, return_face_indices=True)
+        >>> grid = grid.cross_section.constant_latitude(lat=-15.5)
+
+        Notes
+        -----
+        The accuracy and performance of the function can be controlled using the `method` parameter.
+        For higher precision requreiments, consider using method='acurate'.
+        """
+        faces = self.uxgrid.get_faces_at_constant_latitude(lat, method)
+
+        if len(faces) == 0:
+            raise ValueError(f"No intersections found at lat={lat}.")
+
+        grid_at_constant_lat = self.uxgrid.isel(n_face=faces)
+
+        if return_face_indices:
+            return grid_at_constant_lat, faces
+        else:
+            return grid_at_constant_lat
+
+    def constant_longitude(self, *args, **kwargs):
+        raise NotImplementedError
+
+    def gca(self, *args, **kwargs):
+        raise NotImplementedError
+
+    def bounded_latitude(self, *args, **kwargs):
+        raise NotImplementedError
+
+    def bounded_longitude(self, *args, **kwargs):
+        raise NotImplementedError
+
+    def gca_gca(self, *args, **kwargs):
+        raise NotImplementedError
diff --git a/uxarray/grid/grid.py b/uxarray/grid/grid.py
index 9770bfd7c..9dfdeb296 100644
--- a/uxarray/grid/grid.py
+++ b/uxarray/grid/grid.py
@@ -76,6 +76,8 @@
 
 from uxarray.subset import GridSubsetAccessor
 
+from uxarray.cross_sections import GridCrossSectionAccessor
+
 from uxarray.grid.validation import (
     _check_connectivity,
     _check_duplicate_nodes,
@@ -217,6 +219,9 @@ def __init__(
     # declare subset accessor
     subset = UncachedAccessor(GridSubsetAccessor)
 
+    # declare cross section accessor
+    cross_section = UncachedAccessor(GridCrossSectionAccessor)
+
     @classmethod
     def from_dataset(
         cls, dataset: xr.Dataset, use_dual: Optional[bool] = False, **kwargs
@@ -1936,67 +1941,6 @@ def isel(self, **dim_kwargs):
                 "Indexing must be along a grid dimension: ('n_node', 'n_edge', 'n_face')"
             )
 
-    def constant_latitude_cross_section(
-        self, lat: float, return_face_indices=False, method="fast"
-    ):
-        """Extracts a cross-section of the grid at a specified constant
-        latitude.
-
-        This method identifies and returns all faces (or grid elements) that intersect
-        with a given latitude. The returned cross-section can include either just the grid
-        or both the grid elements and the corresponding face indices, depending
-        on the `return_face_indices` parameter.
-
-        Parameters
-        ----------
-        lat : float
-            The latitude at which to extract the cross-section, in degrees.
-        return_face_indices : bool, optional
-            If True, returns both the grid at the specified latitude and the indices
-            of the intersecting faces. If False, only the grid is returned.
-            Default is False.
-        method : str, optional
-            The internal method to use when identifying faces at the constant latitude.
-            Options are:
-            - 'fast': Uses a faster but potentially less accurate method for face identification.
-            - 'accurate': Uses a slower but more accurate method.
-            Default is 'fast'.
-
-        Returns
-        -------
-        grid_at_constant_lat : Grid
-            The grid with faces that interesected at a given lattitude
-        faces : array, optional
-            The indices of the faces that intersect with the specified latitude. This is only
-            returned if `return_face_indices` is set to True.
-
-        Raises
-        ------
-        ValueError
-            If no intersections are found at the specified latitude, a ValueError is raised.
-
-        Examples
-        --------
-        >>> grid, indices = grid.constant_latitude_cross_section(lat=30.0, return_face_indices=True)
-        >>> grid = grid.constant_latitude_cross_section(lat=-15.5)
-
-        Notes
-        -----
-        The accuracy and performance of the function can be controlled using the `method` parameter.
-        For higher precision requreiments, consider using method='acurate'.
-        """
-        faces = self.get_faces_at_constant_latitude(lat, method)
-
-        if len(faces) == 0:
-            raise ValueError(f"No intersections found at lat={lat}.")
-
-        grid_at_constant_lat = self.isel(n_face=faces)
-
-        if return_face_indices:
-            return grid_at_constant_lat, faces
-        else:
-            return grid_at_constant_lat
-
     def get_edges_at_constant_latitude(self, lat, method="fast"):
         """Identifies the edges of the grid that intersect with a specified
         constant latitude.

From 7b78daa47aaad1022a1fc986006d77dda12107f9 Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <philipchmielowiec@gmail.com>
Date: Wed, 9 Oct 2024 12:53:11 -0500
Subject: [PATCH 24/25] update notebook

---
 docs/user-guide/cross-sections.ipynb | 49 +++++++++++++++++-----------
 1 file changed, 30 insertions(+), 19 deletions(-)

diff --git a/docs/user-guide/cross-sections.ipynb b/docs/user-guide/cross-sections.ipynb
index 7d3468608..9c0ba703c 100644
--- a/docs/user-guide/cross-sections.ipynb
+++ b/docs/user-guide/cross-sections.ipynb
@@ -12,13 +12,15 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "id": "b35ba4a2c30750e4",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-10-08T01:49:10.528008Z",
-     "start_time": "2024-10-08T01:49:10.522526Z"
+     "end_time": "2024-10-09T17:50:50.244285Z",
+     "start_time": "2024-10-09T17:50:50.239653Z"
     }
    },
+   "outputs": [],
    "source": [
     "import uxarray as ux\n",
     "import geoviews.feature as gf\n",
@@ -27,9 +29,7 @@
     "import geoviews as gv\n",
     "\n",
     "projection = ccrs.Robinson()"
-   ],
-   "outputs": [],
-   "execution_count": 9
+   ]
   },
   {
    "cell_type": "markdown",
@@ -45,8 +45,8 @@
    "id": "b4160275c09fe6b0",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-10-05T15:21:17.331358Z",
-     "start_time": "2024-10-05T15:21:17.200324Z"
+     "end_time": "2024-10-09T17:50:51.217211Z",
+     "start_time": "2024-10-09T17:50:50.540946Z"
     }
    },
    "outputs": [],
@@ -71,32 +71,41 @@
    "source": [
     "## Constant Latitude\n",
     "\n",
-    "Cross-sections along constant latitude lines can be obtained using the ``constant_latitude_cross_section`` method, available for both ``ux.Grid`` and ``ux.DataArray`` objects. This functionality allows users to extract and analyze slices of data at specified latitudes, providing insights into variations along horizontal sections of the grid.\n"
+    "Cross-sections along constant latitude lines can be obtained using the ``.cross_section.constant_latitude`` method, available for both ``ux.Grid`` and ``ux.DataArray`` objects. This functionality allows users to extract and analyze slices of data at specified latitudes, providing insights into variations along horizontal sections of the grid.\n"
    ]
   },
   {
-   "metadata": {},
    "cell_type": "markdown",
-   "source": "For example, we can obtain a cross-section at 30 degrees latitude by doing the following:",
-   "id": "2fbe9f6e5bb59a17"
+   "id": "2fbe9f6e5bb59a17",
+   "metadata": {},
+   "source": [
+    "For example, we can obtain a cross-section at 30 degrees latitude by doing the following:"
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "3775daa1-2f1d-4738-bab5-2b69ebd689d9",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-10-09T17:50:53.093314Z",
+     "start_time": "2024-10-09T17:50:53.077719Z"
+    }
+   },
    "outputs": [],
    "source": [
     "lat = 30\n",
     "\n",
-    "uxda_constant_lat = uxds[\"psi\"].constant_latitude_cross_section(lat)"
+    "uxda_constant_lat = uxds[\"psi\"].cross_section.constant_latitude(lat)"
    ]
   },
   {
-   "metadata": {},
    "cell_type": "markdown",
-   "source": "Since the result is a new ``UxDataArray``, we can directly plot the result to see the cross-section.",
-   "id": "dcec0b96b92e7f4"
+   "id": "dcec0b96b92e7f4",
+   "metadata": {},
+   "source": [
+    "Since the result is a new ``UxDataArray``, we can directly plot the result to see the cross-section."
+   ]
   },
   {
    "cell_type": "code",
@@ -120,10 +129,12 @@
    ]
   },
   {
-   "metadata": {},
    "cell_type": "markdown",
-   "source": "You can also perform operations on the cross-section, such as taking the mean.",
-   "id": "c7cca7de4722c121"
+   "id": "c7cca7de4722c121",
+   "metadata": {},
+   "source": [
+    "You can also perform operations on the cross-section, such as taking the mean."
+   ]
   },
   {
    "cell_type": "code",

From 9f862e50a02b7a14f159cc0ea34b312dd52b9801 Mon Sep 17 00:00:00 2001
From: Philip Chmielowiec <67855069+philipc2@users.noreply.github.com>
Date: Wed, 9 Oct 2024 19:24:34 -0500
Subject: [PATCH 25/25] fix docs

---
 docs/api.rst | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/docs/api.rst b/docs/api.rst
index 2ff00c6d5..31f162f80 100644
--- a/docs/api.rst
+++ b/docs/api.rst
@@ -294,9 +294,6 @@ UxDataArray
 Cross Sections
 --------------
 
-.. seealso::
-
-    `Cross Sections User Guide Section <https://uxarray.readthedocs.io/en/latest/user-guide/remapping.html>`_
 
 Grid
 ~~~~
@@ -316,7 +313,7 @@ UxDataArray
    :template: autosummary/accessor_method.rst
 
    UxDataArray.cross_section
-   UxDataArray.coss_section.constant_latitude
+   UxDataArray.cross_section.constant_latitude
 
 Remapping
 ---------