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* main:
  Updated environment lockfiles (SciTools#4458)
  remove asv package dependency (SciTools#4456)
  cube.aggregated_by output bounds (SciTools#4315)
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@tkknight
tkknight committed Dec 20, 2021
2 parents f4257a9 + 3638874 commit 823764e
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4 changes: 4 additions & 0 deletions docs/src/whatsnew/latest.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -136,6 +136,10 @@ This document explains the changes made to Iris for this release
array laziness, allowing efficient comparisons even with larger-than-memory
objects. (:pull:`4439`)

#. `@rcomer`_ modified :meth:`~iris.cube.Cube.aggregated_by` to calculate new
coordinate bounds using minimum and maximum for unordered coordinates,
fixing :issue:`1528`. (:pull:`4315`)


💣 Incompatible Changes
=======================
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83 changes: 44 additions & 39 deletions lib/iris/analysis/__init__.py
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Expand Up @@ -2170,15 +2170,20 @@ def _compute_groupby_coords(self):
def _compute_shared_coords(self):
"""Create the new shared coordinates given the group slices."""

groupby_indices = []
groupby_bounds = []

# Iterate over the ordered dictionary in order to construct
# a list of tuple group boundary indexes.
# Iterate over the ordered dictionary in order to construct a list of
# tuple group indices, and a list of the respective bounds of those
# indices.
for key_slice in self._slices_by_key.values():
if isinstance(key_slice, tuple):
groupby_bounds.append((key_slice[0], key_slice[-1]))
indices = key_slice
else:
groupby_bounds.append((key_slice.start, key_slice.stop - 1))
indices = tuple(range(*key_slice.indices(self._stop)))

groupby_indices.append(indices)
groupby_bounds.append((indices[0], indices[-1]))

# Create new shared bounded coordinates.
for coord, dim in self._shared_coords:
Expand All @@ -2197,15 +2202,9 @@ def _compute_shared_coords(self):
new_shape += shape[:-1]
work_arr = work_arr.reshape(work_shape)

for key_slice in self._slices_by_key.values():
if isinstance(key_slice, slice):
indices = key_slice.indices(
coord.points.shape[dim]
)
key_slice = range(*indices)

for indices in groupby_indices:
for arr in work_arr:
new_points.append("|".join(arr.take(key_slice)))
new_points.append("|".join(arr.take(indices)))

# Reinstate flattened dimensions. Aggregated dim now leads.
new_points = np.array(new_points).reshape(new_shape)
Expand All @@ -2220,48 +2219,54 @@ def _compute_shared_coords(self):
raise ValueError(msg)
else:
new_bounds = []
if coord.has_bounds():
# Derive new coord's bounds from bounds.
item = coord.bounds
maxmin_axis = (dim, -1)
first_choices = coord.bounds.take(0, -1)
last_choices = coord.bounds.take(1, -1)
else:
# Derive new coord's bounds from points.
item = coord.points
maxmin_axis = dim
first_choices = last_choices = coord.points

# Check whether item is monotonic along the dimension of interest.
deltas = np.diff(item, 1, dim)
monotonic = np.all(deltas >= 0) or np.all(deltas <= 0)

# Construct list of coordinate group boundary pairs.
for start, stop in groupby_bounds:
if coord.has_bounds():
# Collapse group bounds into bounds.
if monotonic:
# Use first and last bound or point for new bounds.
for start, stop in groupby_bounds:
if (
getattr(coord, "circular", False)
and (stop + 1) == coord.shape[dim]
and (stop + 1) == self._stop
):
new_bounds.append(
[
coord.bounds.take(start, dim).take(0, -1),
coord.bounds.take(0, dim).take(0, -1)
+ coord.units.modulus,
]
)
else:
new_bounds.append(
[
coord.bounds.take(start, dim).take(0, -1),
coord.bounds.take(stop, dim).take(1, -1),
]
)
else:
# Collapse group points into bounds.
if getattr(coord, "circular", False) and (
stop + 1
) == len(coord.points):
new_bounds.append(
[
coord.points.take(start, dim),
coord.points.take(0, dim)
first_choices.take(start, dim),
first_choices.take(0, dim)
+ coord.units.modulus,
]
)
else:
new_bounds.append(
[
coord.points.take(start, dim),
coord.points.take(stop, dim),
first_choices.take(start, dim),
last_choices.take(stop, dim),
]
)
else:
# Use min and max bound or point for new bounds.
for indices in groupby_indices:
item_slice = item.take(indices, dim)
new_bounds.append(
[
item_slice.min(axis=maxmin_axis),
item_slice.max(axis=maxmin_axis),
]
)

# Bounds needs to be an array with the length 2 start-stop
# dimension last, and the aggregated dimension back in its
Expand Down
26 changes: 24 additions & 2 deletions lib/iris/tests/unit/cube/test_Cube.py
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Expand Up @@ -757,7 +757,29 @@ def test_agg_by_label(self):
res_cube = self.cube.aggregated_by("label", self.mock_agg)
val_coord = AuxCoord(
np.array([1.0, 0.5, 1.0]),
bounds=np.array([[0, 2], [0, 1], [2, 0]]),
bounds=np.array([[0, 2], [0, 1], [0, 2]]),
long_name="val",
)
label_coord = AuxCoord(
np.array(["alpha", "beta", "gamma"]),
long_name="label",
units="no_unit",
)
self.assertEqual(res_cube.coord("val"), val_coord)
self.assertEqual(res_cube.coord("label"), label_coord)

def test_agg_by_label_bounded(self):
# Aggregate a cube on a string coordinate label where label
# and val entries are not in step; the resulting cube has a val
# coord of bounded cells and a label coord of single string entries.
val_points = self.cube.coord("val").points
self.cube.coord("val").bounds = np.array(
[val_points - 0.5, val_points + 0.5]
).T
res_cube = self.cube.aggregated_by("label", self.mock_agg)
val_coord = AuxCoord(
np.array([1.0, 0.5, 1.0]),
bounds=np.array([[-0.5, 2.5], [-0.5, 1.5], [-0.5, 2.5]]),
long_name="val",
)
label_coord = AuxCoord(
Expand Down Expand Up @@ -890,7 +912,7 @@ def test_agg_by_label__lazy(self):
res_cube = self.cube.aggregated_by("label", MEAN)
val_coord = AuxCoord(
np.array([1.0, 0.5, 1.0]),
bounds=np.array([[0, 2], [0, 1], [2, 0]]),
bounds=np.array([[0, 2], [0, 1], [0, 2]]),
long_name="val",
)
label_coord = AuxCoord(
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27 changes: 13 additions & 14 deletions requirements/ci/nox.lock/py37-linux-64.lock
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@@ -1,6 +1,6 @@
# Generated by conda-lock.
# platform: linux-64
# input_hash: f2449723874977e1bb5b571ab6f475f8d251e472d6f8826bd40fbb774e3916f7
# input_hash: 2ded1a5e8a7c81e393e358171ff923c72d099e77a007d70daa2a15beb3a59545
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Expand All @@ -12,7 +12,7 @@ https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.36.1-hea4e1c9
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Expand Down Expand Up @@ -78,7 +78,7 @@ https://conda.anaconda.org/conda-forge/linux-64/zlib-1.2.11-h36c2ea0_1013.tar.bz
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Expand Down Expand Up @@ -153,10 +153,10 @@ https://conda.anaconda.org/conda-forge/linux-64/cairo-1.16.0-h6cf1ce9_1008.tar.b
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https://conda.anaconda.org/conda-forge/linux-64/pyqtwebengine-5.12.1-py37he336c9b_8.tar.bz2#0a67d477c0524897883ca0f86d6fb15c
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https://conda.anaconda.org/conda-forge/noarch/requests-2.26.0-pyhd8ed1ab_1.tar.bz2#358581cc782802270d77c454c73a811a
https://conda.anaconda.org/conda-forge/linux-64/matplotlib-3.5.0-py37h89c1867_0.tar.bz2#dc2167a62be1ca5253727201368ddc89
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