def test_grouped_hist_legacy(self):
from matplotlib.patches import Rectangle
from pandas.plotting._matplotlib.hist import _grouped_hist
df = DataFrame(randn(500, 2), columns=["A", "B"])
df["C"] = np.random.randint(0, 4, 500)
df["D"] = ["X"] * 500
axes = _grouped_hist(df.A, by=df.C)
self._check_axes_shape(axes, axes_num=4, layout=(2, 2))
tm.close()
axes = df.hist(by=df.C)
self._check_axes_shape(axes, axes_num=4, layout=(2, 2))
tm.close()
# group by a key with single value
axes = df.hist(by="D", rot=30)
self._check_axes_shape(axes, axes_num=1, layout=(1, 1))
self._check_ticks_props(axes, xrot=30)
tm.close()
# make sure kwargs to hist are handled
xf, yf = 20, 18
xrot, yrot = 30, 40
axes = _grouped_hist(
df.A,
by=df.C,
cumulative=True,
bins=4,
xlabelsize=xf,
xrot=xrot,
ylabelsize=yf,
yrot=yrot,
density=True,
)
# height of last bin (index 5) must be 1.0
for ax in axes.ravel():
rects = [x for x in ax.get_children() if isinstance(x, Rectangle)]
height = rects[-1].get_height()
tm.assert_almost_equal(height, 1.0)
self._check_ticks_props(
axes, xlabelsize=xf, xrot=xrot, ylabelsize=yf, yrot=yrot
)
tm.close()
axes = _grouped_hist(df.A, by=df.C, log=True)
# scale of y must be 'log'
self._check_ax_scales(axes, yaxis="log")
tm.close()
# propagate attr exception from matplotlib.Axes.hist
with pytest.raises(AttributeError):
_grouped_hist(df.A, by=df.C, foo="bar")
msg = "Specify figure size by tuple instead"
with pytest.raises(ValueError, match=msg):
df.hist(by="C", figsize="default")
def test_grouped_hist_legacy(self):
from matplotlib.patches import Rectangle
from pandas.plotting._matplotlib.hist import _grouped_hist
df = DataFrame(randn(500, 2), columns=['A', 'B'])
df['C'] = np.random.randint(0, 4, 500)
df['D'] = ['X'] * 500
axes = _grouped_hist(df.A, by=df.C)
self._check_axes_shape(axes, axes_num=4, layout=(2, 2))
tm.close()
axes = df.hist(by=df.C)
self._check_axes_shape(axes, axes_num=4, layout=(2, 2))
tm.close()
# group by a key with single value
axes = df.hist(by='D', rot=30)
self._check_axes_shape(axes, axes_num=1, layout=(1, 1))
self._check_ticks_props(axes, xrot=30)
tm.close()
# make sure kwargs to hist are handled
xf, yf = 20, 18
xrot, yrot = 30, 40
axes = _grouped_hist(df.A,
by=df.C,
cumulative=True,
bins=4,
xlabelsize=xf,
xrot=xrot,
ylabelsize=yf,
yrot=yrot,
density=True)
# height of last bin (index 5) must be 1.0
for ax in axes.ravel():
rects = [x for x in ax.get_children() if isinstance(x, Rectangle)]
height = rects[-1].get_height()
tm.assert_almost_equal(height, 1.0)
self._check_ticks_props(axes,
xlabelsize=xf,
xrot=xrot,
ylabelsize=yf,
yrot=yrot)
tm.close()
axes = _grouped_hist(df.A, by=df.C, log=True)
# scale of y must be 'log'
self._check_ax_scales(axes, yaxis='log')
tm.close()
# propagate attr exception from matplotlib.Axes.hist
with pytest.raises(AttributeError):
_grouped_hist(df.A, by=df.C, foo='bar')
with tm.assert_produces_warning(FutureWarning):
df.hist(by='C', figsize='default')
def test_grouped_hist_legacy(self):
from matplotlib.patches import Rectangle
from pandas.plotting._matplotlib.hist import _grouped_hist
df = DataFrame(randn(500, 2), columns=['A', 'B'])
df['C'] = np.random.randint(0, 4, 500)
df['D'] = ['X'] * 500
axes = _grouped_hist(df.A, by=df.C)
self._check_axes_shape(axes, axes_num=4, layout=(2, 2))
tm.close()
axes = df.hist(by=df.C)
self._check_axes_shape(axes, axes_num=4, layout=(2, 2))
tm.close()
# group by a key with single value
axes = df.hist(by='D', rot=30)
self._check_axes_shape(axes, axes_num=1, layout=(1, 1))
self._check_ticks_props(axes, xrot=30)
tm.close()
# make sure kwargs to hist are handled
xf, yf = 20, 18
xrot, yrot = 30, 40
axes = _grouped_hist(df.A, by=df.C, cumulative=True,
bins=4, xlabelsize=xf, xrot=xrot,
ylabelsize=yf, yrot=yrot, density=True)
# height of last bin (index 5) must be 1.0
for ax in axes.ravel():
rects = [x for x in ax.get_children() if isinstance(x, Rectangle)]
height = rects[-1].get_height()
tm.assert_almost_equal(height, 1.0)
self._check_ticks_props(axes, xlabelsize=xf, xrot=xrot,
ylabelsize=yf, yrot=yrot)
tm.close()
axes = _grouped_hist(df.A, by=df.C, log=True)
# scale of y must be 'log'
self._check_ax_scales(axes, yaxis='log')
tm.close()
# propagate attr exception from matplotlib.Axes.hist
with pytest.raises(AttributeError):
_grouped_hist(df.A, by=df.C, foo='bar')
with tm.assert_produces_warning(FutureWarning):
df.hist(by='C', figsize='default')
