🌐 AI搜索 & 代理 主页
Skip to content
Closed
Show file tree
Hide file tree
Changes from all commits
Commits
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
15 changes: 15 additions & 0 deletions lib/matplotlib/axes/_axes.py
Original file line number Diff line number Diff line change
@@ -1,3 +1,4 @@
import datetime
import functools
import itertools
import logging
Expand Down Expand Up @@ -9049,6 +9050,20 @@ def violin(self, vpstats, positions=None, vert=None,
elif len(widths) != N:
raise ValueError(datashape_message.format("widths"))

# For usability / better error message:
# Validate that datetime-like positions have timedelta-like widths.
# Checking only the first element is good enough for standard misuse cases
pos0 = positions[0]
width0 = widths if np.isscalar(widths) else widths[0]
if (isinstance(pos0, (datetime.datetime, datetime.date))
and not isinstance(width0, datetime.timedelta)):
raise TypeError(
"datetime/date 'position' values, require timedelta 'widths'")
elif (isinstance(pos0, np.datetime64)
and not isinstance(width0, np.timedelta64)):
raise TypeError(
"np.datetime64 'position' values, require np.timedelta64 'widths'")

# Validate side
_api.check_in_list(["both", "low", "high"], side=side)

Expand Down
75 changes: 75 additions & 0 deletions lib/matplotlib/tests/test_axes.py
Original file line number Diff line number Diff line change
Expand Up @@ -4121,6 +4121,81 @@ def test_violinplot_sides():
showextrema=True, showmedians=True, side=side)


def violin_plot_stats():
datetimes = [
datetime.datetime(2023, 2, 10),
datetime.datetime(2023, 5, 18),
datetime.datetime(2023, 6, 6)
]
return [{
'coords': datetimes,
'vals': [0.1, 0.5, 0.2],
'mean': datetimes[1],
'median': datetimes[1],
'min': datetimes[0],
'max': datetimes[-1],
'quantiles': datetimes
}, {
'coords': datetimes,
'vals': [0.2, 0.3, 0.4],
'mean': datetimes[2],
'median': datetimes[2],
'min': datetimes[0],
'max': datetimes[-1],
'quantiles': datetimes
}]


def test_datetime_positions_with_datetime64():
"""Test that datetime positions with float widths raise TypeError."""
fig, ax = plt.subplots()
positions = [np.datetime64('2020-01-01'), np.datetime64('2021-01-01')]
widths = [0.5, 1.0]
with pytest.raises(TypeError,
match="np.datetime64 'position' values, require np.timedelta64 'widths'"):
ax.violin(violin_plot_stats(), positions=positions, widths=widths)


def test_datetime_positions_with_float_widths_raises():
"""Test that datetime positions with float widths raise TypeError."""
fig, ax = plt.subplots()
positions = [datetime.datetime(2020, 1, 1), datetime.datetime(2021, 1, 1)]
widths = [0.5, 1.0]
with pytest.raises(TypeError,
match="datetime/date 'position' values, require timedelta 'widths'"):
ax.violin(violin_plot_stats(), positions=positions, widths=widths)


def test_datetime_positions_with_scalar_float_width_raises():
"""Test that datetime positions with scalar float width raise TypeError."""
fig, ax = plt.subplots()
positions = [datetime.datetime(2020, 1, 1), datetime.datetime(2021, 1, 1)]
widths = 0.75
with pytest.raises(TypeError,
match="datetime/date 'position' values, require timedelta 'widths'"):
ax.violin(violin_plot_stats(), positions=positions, widths=widths)


def test_numeric_positions_with_float_widths_ok():
"""Test that numeric positions with float widths work."""
fig, ax = plt.subplots()
positions = [1.0, 2.0]
widths = [0.5, 1.0]
ax.violin(violin_plot_stats(), positions=positions, widths=widths)


def test_mixed_positions_datetime_and_numeric_behaves():
"""Test that mixed datetime and numeric positions
with float widths raise TypeError.
"""
fig, ax = plt.subplots()
positions = [datetime.datetime(2020, 1, 1), 2.0]
widths = [0.5, 1.0]
with pytest.raises(TypeError,
match="datetime/date 'position' values, require timedelta 'widths'"):
ax.violin(violin_plot_stats(), positions=positions, widths=widths)


def test_violinplot_bad_positions():
ax = plt.axes()
# First 9 digits of frac(sqrt(47))
Expand Down
Loading