Thanks to visit codestin.com
Credit goes to github.com

Skip to content

Add test_eventplot to test_datetime.py #27466

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 4 commits into from
Dec 11, 2023
Merged

Add test_eventplot to test_datetime.py #27466

Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
4e45a67
Add test_eventplot to test_datetime.py
Dec 7, 2023
a676dce
Modified test to check for input with varying lengths of data
Dec 8, 2023
bf39791
Set random seed
shriyakalakata Dec 8, 2023
f55957e
Added third test for Axes.eventplot
shriyakalakata Dec 8, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
45 changes: 42 additions & 3 deletions lib/matplotlib/tests/test_datetime.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -260,11 +260,50 @@ def test_errorbar(self):
uplims=True, xuplims=True,
label='Data')

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

fig, (ax1, ax2, ax3) = plt.subplots(3, 1, layout="constrained")

x_dates1 = np.array([datetime.datetime(2020, 6, 30),
datetime.datetime(2020, 7, 22),
datetime.datetime(2020, 8, 3),
datetime.datetime(2020, 9, 14),],
dtype=np.datetime64,
)

ax1.eventplot(x_dates1)

np.random.seed(19680801)

start_date = datetime.datetime(2020, 7, 1)
end_date = datetime.datetime(2020, 10, 15)
date_range = end_date - start_date

dates1 = start_date + np.random.rand(30) * date_range
dates2 = start_date + np.random.rand(10) * date_range
dates3 = start_date + np.random.rand(50) * date_range

colors1 = ['C1', 'C2', 'C3']
lineoffsets1 = np.array([1, 6, 8])
linelengths1 = [5, 2, 3]

ax2.eventplot([dates1, dates2, dates3],
colors=colors1,
lineoffsets=lineoffsets1,
linelengths=linelengths1)

lineoffsets2 = np.array([
datetime.datetime(2020, 7, 1),
datetime.datetime(2020, 7, 15),
datetime.datetime(2020, 8, 1)
], dtype=np.datetime64)

ax3.eventplot([dates1, dates2, dates3],
colors=colors1,
lineoffsets=lineoffsets2,
linelengths=linelengths1)

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