| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157 |
- import pytest
- from pandas import Series
- pytest.importorskip("matplotlib")
- from pandas.plotting._matplotlib.style import get_standard_colors
- class TestGetStandardColors:
- @pytest.mark.parametrize(
- "num_colors, expected",
- [
- (3, ["red", "green", "blue"]),
- (5, ["red", "green", "blue", "red", "green"]),
- (7, ["red", "green", "blue", "red", "green", "blue", "red"]),
- (2, ["red", "green"]),
- (1, ["red"]),
- ],
- )
- def test_default_colors_named_from_prop_cycle(self, num_colors, expected):
- import matplotlib as mpl
- from matplotlib.pyplot import cycler
- mpl_params = {
- "axes.prop_cycle": cycler(color=["red", "green", "blue"]),
- }
- with mpl.rc_context(rc=mpl_params):
- result = get_standard_colors(num_colors=num_colors)
- assert result == expected
- @pytest.mark.parametrize(
- "num_colors, expected",
- [
- (1, ["b"]),
- (3, ["b", "g", "r"]),
- (4, ["b", "g", "r", "y"]),
- (5, ["b", "g", "r", "y", "b"]),
- (7, ["b", "g", "r", "y", "b", "g", "r"]),
- ],
- )
- def test_default_colors_named_from_prop_cycle_string(self, num_colors, expected):
- import matplotlib as mpl
- from matplotlib.pyplot import cycler
- mpl_params = {
- "axes.prop_cycle": cycler(color="bgry"),
- }
- with mpl.rc_context(rc=mpl_params):
- result = get_standard_colors(num_colors=num_colors)
- assert result == expected
- @pytest.mark.parametrize(
- "num_colors, expected_name",
- [
- (1, ["C0"]),
- (3, ["C0", "C1", "C2"]),
- (
- 12,
- [
- "C0",
- "C1",
- "C2",
- "C3",
- "C4",
- "C5",
- "C6",
- "C7",
- "C8",
- "C9",
- "C0",
- "C1",
- ],
- ),
- ],
- )
- def test_default_colors_named_undefined_prop_cycle(self, num_colors, expected_name):
- import matplotlib as mpl
- import matplotlib.colors as mcolors
- with mpl.rc_context(rc={}):
- expected = [mcolors.to_hex(x) for x in expected_name]
- result = get_standard_colors(num_colors=num_colors)
- assert result == expected
- @pytest.mark.parametrize(
- "num_colors, expected",
- [
- (1, ["red", "green", (0.1, 0.2, 0.3)]),
- (2, ["red", "green", (0.1, 0.2, 0.3)]),
- (3, ["red", "green", (0.1, 0.2, 0.3)]),
- (4, ["red", "green", (0.1, 0.2, 0.3), "red"]),
- ],
- )
- def test_user_input_color_sequence(self, num_colors, expected):
- color = ["red", "green", (0.1, 0.2, 0.3)]
- result = get_standard_colors(color=color, num_colors=num_colors)
- assert result == expected
- @pytest.mark.parametrize(
- "num_colors, expected",
- [
- (1, ["r", "g", "b", "k"]),
- (2, ["r", "g", "b", "k"]),
- (3, ["r", "g", "b", "k"]),
- (4, ["r", "g", "b", "k"]),
- (5, ["r", "g", "b", "k", "r"]),
- (6, ["r", "g", "b", "k", "r", "g"]),
- ],
- )
- def test_user_input_color_string(self, num_colors, expected):
- color = "rgbk"
- result = get_standard_colors(color=color, num_colors=num_colors)
- assert result == expected
- @pytest.mark.parametrize(
- "num_colors, expected",
- [
- (1, [(0.1, 0.2, 0.3)]),
- (2, [(0.1, 0.2, 0.3), (0.1, 0.2, 0.3)]),
- (3, [(0.1, 0.2, 0.3), (0.1, 0.2, 0.3), (0.1, 0.2, 0.3)]),
- ],
- )
- def test_user_input_color_floats(self, num_colors, expected):
- color = (0.1, 0.2, 0.3)
- result = get_standard_colors(color=color, num_colors=num_colors)
- assert result == expected
- @pytest.mark.parametrize(
- "color, num_colors, expected",
- [
- ("Crimson", 1, ["Crimson"]),
- ("DodgerBlue", 2, ["DodgerBlue", "DodgerBlue"]),
- ("firebrick", 3, ["firebrick", "firebrick", "firebrick"]),
- ],
- )
- def test_user_input_named_color_string(self, color, num_colors, expected):
- result = get_standard_colors(color=color, num_colors=num_colors)
- assert result == expected
- @pytest.mark.parametrize("color", ["", [], (), Series([], dtype="object")])
- def test_empty_color_raises(self, color):
- with pytest.raises(ValueError, match="Invalid color argument"):
- get_standard_colors(color=color, num_colors=1)
- @pytest.mark.parametrize(
- "color",
- [
- "bad_color",
- ("red", "green", "bad_color"),
- (0.1,),
- (0.1, 0.2),
- (0.1, 0.2, 0.3, 0.4, 0.5), # must be either 3 or 4 floats
- ],
- )
- def test_bad_color_raises(self, color):
- with pytest.raises(ValueError, match="Invalid color"):
- get_standard_colors(color=color, num_colors=5)
|