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Added test_hist2d #27418

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40 changes: 37 additions & 3 deletions 40 lib/matplotlib/tests/test_datetime.py
Original file line number Diff line number Diff line change
Expand Up @@ -355,12 +355,46 @@ def test_hist(self):
weights=values3
)

@pytest.mark.xfail(reason="Test for hist2d not written yet")
@mpl.style.context("default")
def test_hist2d(self):
fig, ax = plt.subplots()
ax.hist2d(...)
mpl.rcParams["date.converter"] = 'concise'

start_date = datetime.datetime(2023, 10, 1)
time_delta = datetime.timedelta(days=1)

values1 = np.random.randint(1, 10, 30)
values2 = np.random.randint(1, 10, 30)
values3 = np.random.randint(1, 10, 30)
Comment on lines +365 to +367
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If you want to use randomness, you'll need to set a seed (we use 19680801 for tests).

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Makes sense


x_values = mpl.dates.date2num([start_date + i * time_delta for i in range(30)])
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date2num means you are passing numbers into hist2d. We want to test actual dates.


# Using Axes.hist2d
fig, (ax1, ax2, ax3) = plt.subplots(1, 3, constrained_layout=True)
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Suggested change
fig, (ax1, ax2, ax3) = plt.subplots(1, 3, constrained_layout=True)
fig, (ax1, ax2, ax3) = plt.subplots(1, 3, layout='constrained')


# Testing with Axes.hist2d
hist2d1 = ax1.hist2d(
x_values,
values1,
bins=10,
cmap='Blues'
)
Comment on lines +375 to +380
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This fits in one line, AFAICT.

ax1.set_title('Axes.hist2d - Data 1')

hist2d2 = ax2.hist2d(
x_values,
values2,
bins=10,
cmap='Greens'
)
ax2.set_title('Axes.hist2d - Data 2')

hist2d3 = ax3.hist2d(
x_values,
values3,
bins=10,
cmap='Reds'
)
ax3.set_title('Axes.hist2d - Data 3')
Comment on lines +383 to +397
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I don't see what the difference is between the first plot and these two?

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To possibly clarify a bit: it would make more sense to use dates for the y-values as well. So one idea is to keep one of the subplots, swap x and y values for the next (dates on y-axis) and let the third have dates for both x and y-values.

@mpl.style.context("default")
def test_hlines(self):
mpl.rcParams["date.converter"] = 'concise'
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