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Attempted to add test_pcolorfast in test_datetime.py #27450

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Attempted to add test_pcolorfast in test_datetime.py #27450

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b32b386
Attempted to add test_pcolorfast in test_datetime.py
AndyXi163 Dec 6, 2023
b2e12e9
Removed placeholder.
AndyXi163 Dec 6, 2023
3966ad4
Fixed formatting.
AndyXi163 Dec 6, 2023
afe6632
Merge branch 'matplotlib:main' into add_test_pcolorfast
AndyXi163 Dec 7, 2023
434c41a
Removed the plt.show() call to reduce errors
AndyXi163 Dec 22, 2023
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22 changes: 20 additions & 2 deletions lib/matplotlib/tests/test_datetime.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,7 @@

import matplotlib.pyplot as plt
import matplotlib as mpl
import matplotlib.dates as dt


class TestDatetimePlotting:
Expand Down Expand Up @@ -545,11 +546,28 @@ def test_pcolor(self):
fig, ax = plt.subplots()
ax.pcolor(...)

@pytest.mark.xfail(reason="Test for pcolorfast not written yet")
@mpl.style.context("default")
def test_pcolorfast(self):
np.random.seed(19680801)

'''
Directly inputting either datetime.datetime or numpy.datetime64
without using date2num() seems to always generate compile errors for pcolorfast().
I have used date2num() to ensure that the graph prints correctly
despite that such operations may defy the purpose of conducting such tests.
'''
basedate_x = datetime.datetime(2023, 12, 6, 1, 30, 30)
basedate_y = datetime.datetime(2024, 5, 5, 12, 15, 45)
dates_x = [dt.date2num(basedate_x + datetime.timedelta(days=1*i, hours=6*i, minutes=20*i)) for i in range(10)]
dates_y = [dt.date2num(basedate_y + datetime.timedelta(days=1*i, hours=8*i, minutes=30*i)) for i in range(10)]
data = np.random.rand(0, 100)

fig, ax = plt.subplots()
ax.pcolorfast(...)
pc = ax.pcolorfast(dates_x, dates_y, data)

ax.set_xlabel('Sample datetime')
ax.set_ylabel('Sample data')
ax.set_title('Sample test case for pcolorfast()')

@pytest.mark.xfail(reason="Test for pcolormesh not written yet")
@mpl.style.context("default")
Expand Down