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import pytest
from pandas import DataFrame
from pandas.tests.plotting.common import (
_check_plot_works,
_check_ticks_props,
_gen_two_subplots,
)
plt = pytest.importorskip("matplotlib.pyplot")
class TestCommon:
def test__check_ticks_props(self):
# GH 34768
df = DataFrame({"b": [0, 1, 0], "a": [1, 2, 3]})
ax = _check_plot_works(df.plot, rot=30)
ax.yaxis.set_tick_params(rotation=30)
msg = "expected 0.00000 but got "
with pytest.raises(AssertionError, match=msg):
_check_ticks_props(ax, xrot=0)
with pytest.raises(AssertionError, match=msg):
_check_ticks_props(ax, xlabelsize=0)
with pytest.raises(AssertionError, match=msg):
_check_ticks_props(ax, yrot=0)
with pytest.raises(AssertionError, match=msg):
_check_ticks_props(ax, ylabelsize=0)
def test__gen_two_subplots_with_ax(self):
fig = plt.gcf()
gen = _gen_two_subplots(f=lambda **kwargs: None, fig=fig, ax="test")
# On the first yield, no subplot should be added since ax was passed
next(gen)
assert fig.get_axes() == []
# On the second, the one axis should match fig.subplot(2, 1, 2)
next(gen)
axes = fig.get_axes()
assert len(axes) == 1
subplot_geometry = list(axes[0].get_subplotspec().get_geometry()[:-1])
subplot_geometry[-1] += 1
assert subplot_geometry == [2, 1, 2]
def test_colorbar_layout(self):
fig = plt.figure()
axes = fig.subplot_mosaic(
"""
AB
CC
"""
)
x = [1, 2, 3]
y = [1, 2, 3]
cs0 = axes["A"].scatter(x, y)
axes["B"].scatter(x, y)
fig.colorbar(cs0, ax=[axes["A"], axes["B"]], location="right")
DataFrame(x).plot(ax=axes["C"])