mirror of
https://github.com/PiBrewing/craftbeerpi4.git
synced 2024-12-05 04:55:06 +01:00
115 lines
4.4 KiB
Python
115 lines
4.4 KiB
Python
|
""" Test cases for GroupBy.plot """
|
||
|
|
||
|
|
||
|
import numpy as np
|
||
|
import pytest
|
||
|
|
||
|
import pandas.util._test_decorators as td
|
||
|
|
||
|
from pandas import DataFrame, Index, Series
|
||
|
import pandas._testing as tm
|
||
|
from pandas.tests.plotting.common import TestPlotBase
|
||
|
|
||
|
|
||
|
@td.skip_if_no_mpl
|
||
|
class TestDataFrameGroupByPlots(TestPlotBase):
|
||
|
def test_series_groupby_plotting_nominally_works(self):
|
||
|
n = 10
|
||
|
weight = Series(np.random.normal(166, 20, size=n))
|
||
|
height = Series(np.random.normal(60, 10, size=n))
|
||
|
with tm.RNGContext(42):
|
||
|
gender = np.random.choice(["male", "female"], size=n)
|
||
|
|
||
|
weight.groupby(gender).plot()
|
||
|
tm.close()
|
||
|
height.groupby(gender).hist()
|
||
|
tm.close()
|
||
|
# Regression test for GH8733
|
||
|
height.groupby(gender).plot(alpha=0.5)
|
||
|
tm.close()
|
||
|
|
||
|
def test_plotting_with_float_index_works(self):
|
||
|
# GH 7025
|
||
|
df = DataFrame(
|
||
|
{"def": [1, 1, 1, 2, 2, 2, 3, 3, 3], "val": np.random.randn(9)},
|
||
|
index=[1.0, 2.0, 3.0, 1.0, 2.0, 3.0, 1.0, 2.0, 3.0],
|
||
|
)
|
||
|
|
||
|
df.groupby("def")["val"].plot()
|
||
|
tm.close()
|
||
|
df.groupby("def")["val"].apply(lambda x: x.plot())
|
||
|
tm.close()
|
||
|
|
||
|
def test_hist_single_row(self):
|
||
|
# GH10214
|
||
|
bins = np.arange(80, 100 + 2, 1)
|
||
|
df = DataFrame({"Name": ["AAA", "BBB"], "ByCol": [1, 2], "Mark": [85, 89]})
|
||
|
df["Mark"].hist(by=df["ByCol"], bins=bins)
|
||
|
df = DataFrame({"Name": ["AAA"], "ByCol": [1], "Mark": [85]})
|
||
|
df["Mark"].hist(by=df["ByCol"], bins=bins)
|
||
|
|
||
|
def test_plot_submethod_works(self):
|
||
|
df = DataFrame({"x": [1, 2, 3, 4, 5], "y": [1, 2, 3, 2, 1], "z": list("ababa")})
|
||
|
df.groupby("z").plot.scatter("x", "y")
|
||
|
tm.close()
|
||
|
df.groupby("z")["x"].plot.line()
|
||
|
tm.close()
|
||
|
|
||
|
def test_plot_kwargs(self):
|
||
|
|
||
|
df = DataFrame({"x": [1, 2, 3, 4, 5], "y": [1, 2, 3, 2, 1], "z": list("ababa")})
|
||
|
|
||
|
res = df.groupby("z").plot(kind="scatter", x="x", y="y")
|
||
|
# check that a scatter plot is effectively plotted: the axes should
|
||
|
# contain a PathCollection from the scatter plot (GH11805)
|
||
|
assert len(res["a"].collections) == 1
|
||
|
|
||
|
res = df.groupby("z").plot.scatter(x="x", y="y")
|
||
|
assert len(res["a"].collections) == 1
|
||
|
|
||
|
@pytest.mark.parametrize("column, expected_axes_num", [(None, 2), ("b", 1)])
|
||
|
def test_groupby_hist_frame_with_legend(self, column, expected_axes_num):
|
||
|
# GH 6279 - DataFrameGroupBy histogram can have a legend
|
||
|
expected_layout = (1, expected_axes_num)
|
||
|
expected_labels = column or [["a"], ["b"]]
|
||
|
|
||
|
index = Index(15 * ["1"] + 15 * ["2"], name="c")
|
||
|
df = DataFrame(np.random.randn(30, 2), index=index, columns=["a", "b"])
|
||
|
g = df.groupby("c")
|
||
|
|
||
|
for axes in g.hist(legend=True, column=column):
|
||
|
self._check_axes_shape(
|
||
|
axes, axes_num=expected_axes_num, layout=expected_layout
|
||
|
)
|
||
|
for ax, expected_label in zip(axes[0], expected_labels):
|
||
|
self._check_legend_labels(ax, expected_label)
|
||
|
|
||
|
@pytest.mark.parametrize("column", [None, "b"])
|
||
|
def test_groupby_hist_frame_with_legend_raises(self, column):
|
||
|
# GH 6279 - DataFrameGroupBy histogram with legend and label raises
|
||
|
index = Index(15 * ["1"] + 15 * ["2"], name="c")
|
||
|
df = DataFrame(np.random.randn(30, 2), index=index, columns=["a", "b"])
|
||
|
g = df.groupby("c")
|
||
|
|
||
|
with pytest.raises(ValueError, match="Cannot use both legend and label"):
|
||
|
g.hist(legend=True, column=column, label="d")
|
||
|
|
||
|
def test_groupby_hist_series_with_legend(self):
|
||
|
# GH 6279 - SeriesGroupBy histogram can have a legend
|
||
|
index = Index(15 * ["1"] + 15 * ["2"], name="c")
|
||
|
df = DataFrame(np.random.randn(30, 2), index=index, columns=["a", "b"])
|
||
|
g = df.groupby("c")
|
||
|
|
||
|
for ax in g["a"].hist(legend=True):
|
||
|
self._check_axes_shape(ax, axes_num=1, layout=(1, 1))
|
||
|
self._check_legend_labels(ax, ["1", "2"])
|
||
|
|
||
|
def test_groupby_hist_series_with_legend_raises(self):
|
||
|
# GH 6279 - SeriesGroupBy histogram with legend and label raises
|
||
|
index = Index(15 * ["1"] + 15 * ["2"], name="c")
|
||
|
df = DataFrame(np.random.randn(30, 2), index=index, columns=["a", "b"])
|
||
|
g = df.groupby("c")
|
||
|
|
||
|
with pytest.raises(ValueError, match="Cannot use both legend and label"):
|
||
|
g.hist(legend=True, label="d")
|