8000 Add tests for Issue #493: PDF output with linewidth=0 by Cdiaz1234 · Pull Request #626 · matplotlib/basemap · GitHub
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Add tests for Issue #493: PDF output with linewidth=0 #626

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Add tests for Issue #493: PDF output with linewidth=0 #626

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89b31f8
Fix incorrect docstring return order in shiftdata()
Cdiaz1234 Apr 9, 2025
ab01532
Fix shiftdata docstring (Issue #599) and add rounding of lonsin to 6 …
Cdiaz1234 Apr 10, 2025
2873ee6
Add test to validate longitude rounding and data integrity in shiftda…
Cdiaz1234 Apr 10, 2025
baa3eec
Clean up solar.py to pass flake8 (Issue #528)
Cdiaz1234 May 4, 2025
a65ede3
Found the issue of great circles with Gaps and Fixed the issue
Kenji7SenSei May 6, 2025
c5ec3c3
Removed spaces in Code
Kenji7SenSei May 6, 2025
d233a76
Unit test
Kenji7SenSei May 6, 2025
3b44758
Fix #493: Skip zero-width dashes to restore visible grid lines
Cdiaz1234 May 7, 2025
eb27b57
Merge branch 'flake8-cleanup' into develop
Cdiaz1234 May 7, 2025
0787313
Add tests for zero-width line rendering in PDF (Issue #493)
Cdiaz1234 May 7, 2025
b34a226
Fixed plotting issues with
sterlingmacleod May 7, 2025
5f7378e
Fixed plotting issue with hammer map data
sterlingmacleod May 7, 2025
31440f0
Issue #610 changed the central longitude of projection to 0
Kenji7SenSei May 7, 2025
c78b5bf
Merge remote-tracking branch 'origin/develop' into develop
Kenji7SenSei May 7, 2025
3cde9ff
Issue #610 changed the central longitude of projection to 0
Kenji7SenSei May 7, 2025
ed46215
Tests if the night shade runs without error
Kenji7SenSei May 7, 2025
6aa87a3
Cleaned up code formatting using flake8 and autopep8 for consistency
Cdiaz1234 May 9, 2025
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Add test to validate longitude rounding and data integrity in shiftda… 
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@Cdiaz1234
Cdiaz1234 committed Apr 10, 2025
commit 2873ee6681e23ec80a040f19aa7b27a03a26ff1a
15 changes: 15 additions & 0 deletions tests/test_shiftdata_rounding.py
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import numpy as np
from mpl_toolkits.basemap import Basemap

def test_shiftdata_rounding():
m = Basemap(projection='cyl', llcrnrlon=-180, urcrnrlon=180,
llcrnrlat=-90, urcrnrlat=90, lon_0=0)

lonsin = np.array([104.123456789, -75.987654321])
datain = np.array([1.0, 2.0])

lonsout, dataout = m.shiftdata(lonsin, datain)

expected_lons = np.round(lonsin, 6)
np.testing.assert_allclose(np.sort(lonsout), np.sort(expected_lons), rtol=1e-8, atol=1e-8)
assert np.array_equal(np.sort(dataout), np.sort(datain))
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