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Wrap grdproject (GenericMappingTools#1377)
Co-authored-by: Wei Ji <[email protected]> Co-authored-by: Dongdong Tian <[email protected]>
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@@ -94,6 +94,7 @@ Operations on grids: | |
grdfilter | ||
grdgradient | ||
grdlandmask | ||
grdproject | ||
grdsample | ||
grdtrack | ||
xyz2grd | ||
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@@ -40,6 +40,7 @@ | |
grdgradient, | ||
grdinfo, | ||
grdlandmask, | ||
grdproject, | ||
grdsample, | ||
grdtrack, | ||
info, | ||
|
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""" | ||
grdproject - Forward and inverse map transformation of grids. | ||
""" | ||
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import xarray as xr | ||
from pygmt.clib import Session | ||
from pygmt.exceptions import GMTInvalidInput | ||
from pygmt.helpers import ( | ||
GMTTempFile, | ||
build_arg_string, | ||
fmt_docstring, | ||
kwargs_to_strings, | ||
use_alias, | ||
) | ||
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@fmt_docstring | ||
@use_alias( | ||
G="outgrid", | ||
J="projection", | ||
I="inverse", | ||
R="region", | ||
V="verbose", | ||
n="interpolation", | ||
r="registration", | ||
) | ||
@kwargs_to_strings(R="sequence") | ||
def grdproject(grid, **kwargs): | ||
r""" | ||
Change projection of gridded data between geographical and rectangular. | ||
This module will project a geographical gridded data set onto a | ||
rectangular grid. If ``inverse`` is ``True``, it will project a | ||
rectangular coordinate system to a geographic system. To obtain the value | ||
at each new node, its location is inversely projected back onto the input | ||
grid after which a value is interpolated between the surrounding input | ||
grid values. By default bi-cubic interpolation is used. Aliasing is | ||
avoided by also forward projecting the input grid nodes. If two or more | ||
nodes are projected onto the same new node, their average will dominate in | ||
the calculation of the new node value. Interpolation and aliasing is | ||
controlled with the ``interpolation`` option. The new node spacing may be | ||
determined in one of several ways by specifying the grid spacing, number | ||
of nodes, or resolution. Nodes not constrained by input data are set to | ||
NaN. The ``region`` parameter can be used to select a map region larger or | ||
smaller than that implied by the extent of the grid file. | ||
{aliases} | ||
Parameters | ||
---------- | ||
grid : str or xarray.DataArray | ||
The file name of the input grid or the grid loaded as a DataArray. | ||
outgrid : str or None | ||
The name of the output netCDF file with extension .nc to store the grid | ||
in. | ||
inverse : bool | ||
When set to ``True`` transforms grid from rectangular to | ||
geographical [Default is False]. | ||
{J} | ||
{R} | ||
{V} | ||
{n} | ||
{r} | ||
Returns | ||
------- | ||
ret: xarray.DataArray or None | ||
Return type depends on whether the ``outgrid`` parameter is set: | ||
- :class:`xarray.DataArray` if ``outgrid`` is not set | ||
- None if ``outgrid`` is set (grid output will be stored in file set by | ||
``outgrid``) | ||
""" | ||
if "J" not in kwargs.keys(): | ||
raise GMTInvalidInput("The projection must be specified.") | ||
with GMTTempFile(suffix=".nc") as tmpfile: | ||
with Session() as lib: | ||
file_context = lib.virtualfile_from_data(check_kind="raster", data=grid) | ||
with file_context as infile: | ||
if "G" not in kwargs.keys(): # if outgrid is unset, output to tempfile | ||
kwargs.update({"G": tmpfile.name}) | ||
outgrid = kwargs["G"] | ||
arg_str = " ".join([infile, build_arg_string(kwargs)]) | ||
lib.call_module("grdproject", arg_str) | ||
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if outgrid == tmpfile.name: # if user did not set outgrid, return DataArray | ||
with xr.open_dataarray(outgrid) as dataarray: | ||
result = dataarray.load() | ||
_ = result.gmt # load GMTDataArray accessor information | ||
else: | ||
result = None # if user sets an outgrid, return None | ||
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return result |
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""" | ||
Tests for grdproject. | ||
""" | ||
import os | ||
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import numpy.testing as npt | ||
import pytest | ||
from pygmt import grdinfo, grdproject | ||
from pygmt.datasets import load_earth_relief | ||
from pygmt.exceptions import GMTInvalidInput | ||
from pygmt.helpers import GMTTempFile | ||
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@pytest.fixture(scope="module", name="grid") | ||
def fixture_grid(): | ||
""" | ||
Load the grid data from the sample earth_relief file. | ||
""" | ||
return load_earth_relief(resolution="01d", region=[-5, 5, -5, 5]) | ||
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def test_grdproject_file_out(grid): | ||
""" | ||
grdproject with an outgrid set. | ||
""" | ||
with GMTTempFile(suffix=".nc") as tmpfile: | ||
result = grdproject(grid=grid, projection="M10c", outgrid=tmpfile.name) | ||
assert result is None # return value is None | ||
assert os.path.exists(path=tmpfile.name) # check that outgrid exists | ||
result = grdinfo(tmpfile.name, per_column=True).strip().split() | ||
npt.assert_allclose(float(result[0]), 0) # x min | ||
npt.assert_allclose(float(result[1]), 10) # x max | ||
npt.assert_allclose(float(result[2]), 0, atol=1.0e-10) # y min | ||
npt.assert_allclose(float(result[3]), 9.94585661273) # y max | ||
npt.assert_allclose(float(result[4]), -5130.48193359) # min | ||
npt.assert_allclose(float(result[5]), -152.585281372) # max | ||
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def test_grdproject_no_outgrid(grid): | ||
""" | ||
Test grdproject with no set outgrid. | ||
""" | ||
assert grid.gmt.gtype == 1 # Geographic grid | ||
temp_grid = grdproject(grid=grid, projection="M10c") | ||
assert temp_grid.dims == ("y", "x") | ||
assert temp_grid.gmt.gtype == 0 # Rectangular grid | ||
assert temp_grid.gmt.registration == 1 # Pixel registration | ||
npt.assert_allclose(temp_grid.min(), -5130.482) | ||
npt.assert_allclose(temp_grid.max(), -152.58528) | ||
npt.assert_allclose(temp_grid.median(), -4578.288) | ||
npt.assert_allclose(temp_grid.mean(), -4354.3296) | ||
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def test_grdproject_fails(grid): | ||
""" | ||
Check that grdproject fails correctly. | ||
""" | ||
with pytest.raises(GMTInvalidInput): | ||
grdproject(grid=grid) |