| 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), |
| ], |
| ) |
| def test_bad_color_raises(self, color): |
| with pytest.raises(ValueError, match="Invalid color"): |
| get_standard_colors(color=color, num_colors=5) |
|
|