|
| 1 | +from cycler import cycler |
| 2 | +import pytest |
| 3 | + |
| 4 | +from pandas import Series |
| 5 | + |
| 6 | +from pandas.plotting._matplotlib.style import get_standard_colors |
| 7 | + |
| 8 | + |
| 9 | +class TestGetStandardColors: |
| 10 | + @pytest.mark.parametrize( |
| 11 | + "num_colors, expected", |
| 12 | + [ |
| 13 | + (3, ["red", "green", "blue"]), |
| 14 | + (5, ["red", "green", "blue", "red", "green"]), |
| 15 | + (7, ["red", "green", "blue", "red", "green", "blue", "red"]), |
| 16 | + (2, ["red", "green"]), |
| 17 | + (1, ["red"]), |
| 18 | + ], |
| 19 | + ) |
| 20 | + def test_default_colors_named_from_prop_cycle(self, num_colors, expected): |
| 21 | + import matplotlib as mpl |
| 22 | + |
| 23 | + mpl_params = { |
| 24 | + "axes.prop_cycle": cycler(color=["red", "green", "blue"]), |
| 25 | + } |
| 26 | + with mpl.rc_context(rc=mpl_params): |
| 27 | + result = get_standard_colors(num_colors=num_colors) |
| 28 | + assert result == expected |
| 29 | + |
| 30 | + @pytest.mark.parametrize( |
| 31 | + "num_colors, expected", |
| 32 | + [ |
| 33 | + (1, ["b"]), |
| 34 | + (3, ["b", "g", "r"]), |
| 35 | + (4, ["b", "g", "r", "y"]), |
| 36 | + (5, ["b", "g", "r", "y", "b"]), |
| 37 | + (7, ["b", "g", "r", "y", "b", "g", "r"]), |
| 38 | + ], |
| 39 | + ) |
| 40 | + def test_default_colors_named_from_prop_cycle_string(self, num_colors, expected): |
| 41 | + import matplotlib as mpl |
| 42 | + |
| 43 | + mpl_params = { |
| 44 | + "axes.prop_cycle": cycler(color="bgry"), |
| 45 | + } |
| 46 | + with mpl.rc_context(rc=mpl_params): |
| 47 | + result = get_standard_colors(num_colors=num_colors) |
| 48 | + assert result == expected |
| 49 | + |
| 50 | + @pytest.mark.parametrize( |
| 51 | + "num_colors, expected_name", |
| 52 | + [ |
| 53 | + (1, ["C0"]), |
| 54 | + (3, ["C0", "C1", "C2"]), |
| 55 | + ( |
| 56 | + 12, |
| 57 | + [ |
| 58 | + "C0", |
| 59 | + "C1", |
| 60 | + "C2", |
| 61 | + "C3", |
| 62 | + "C4", |
| 63 | + "C5", |
| 64 | + "C6", |
| 65 | + "C7", |
| 66 | + "C8", |
| 67 | + "C9", |
| 68 | + "C0", |
| 69 | + "C1", |
| 70 | + ], |
| 71 | + ), |
| 72 | + ], |
| 73 | + ) |
| 74 | + def test_default_colors_named_undefined_prop_cycle(self, num_colors, expected_name): |
| 75 | + import matplotlib as mpl |
| 76 | + import matplotlib.colors as mcolors |
| 77 | + |
| 78 | + with mpl.rc_context(rc={}): |
| 79 | + expected = [mcolors.to_hex(x) for x in expected_name] |
| 80 | + result = get_standard_colors(num_colors=num_colors) |
| 81 | + assert result == expected |
| 82 | + |
| 83 | + @pytest.mark.parametrize( |
| 84 | + "num_colors, expected", |
| 85 | + [ |
| 86 | + (1, ["red", "green", (0.1, 0.2, 0.3)]), |
| 87 | + (2, ["red", "green", (0.1, 0.2, 0.3)]), |
| 88 | + (3, ["red", "green", (0.1, 0.2, 0.3)]), |
| 89 | + (4, ["red", "green", (0.1, 0.2, 0.3), "red"]), |
| 90 | + ], |
| 91 | + ) |
| 92 | + def test_user_input_color_sequence(self, num_colors, expected): |
| 93 | + color = ["red", "green", (0.1, 0.2, 0.3)] |
| 94 | + result = get_standard_colors(color=color, num_colors=num_colors) |
| 95 | + assert result == expected |
| 96 | + |
| 97 | + @pytest.mark.parametrize( |
| 98 | + "num_colors, expected", |
| 99 | + [ |
| 100 | + (1, ["r", "g", "b", "k"]), |
| 101 | + (2, ["r", "g", "b", "k"]), |
| 102 | + (3, ["r", "g", "b", "k"]), |
| 103 | + (4, ["r", "g", "b", "k"]), |
| 104 | + (5, ["r", "g", "b", "k", "r"]), |
| 105 | + (6, ["r", "g", "b", "k", "r", "g"]), |
| 106 | + ], |
| 107 | + ) |
| 108 | + def test_user_input_color_string(self, num_colors, expected): |
| 109 | + color = "rgbk" |
| 110 | + result = get_standard_colors(color=color, num_colors=num_colors) |
| 111 | + assert result == expected |
| 112 | + |
| 113 | + @pytest.mark.parametrize( |
| 114 | + "num_colors, expected", |
| 115 | + [ |
| 116 | + (1, [(0.1, 0.2, 0.3)]), |
| 117 | + (2, [(0.1, 0.2, 0.3), (0.1, 0.2, 0.3)]), |
| 118 | + (3, [(0.1, 0.2, 0.3), (0.1, 0.2, 0.3), (0.1, 0.2, 0.3)]), |
| 119 | + ], |
| 120 | + ) |
| 121 | + def test_user_input_color_floats(self, num_colors, expected): |
| 122 | + color = (0.1, 0.2, 0.3) |
| 123 | + result = get_standard_colors(color=color, num_colors=num_colors) |
| 124 | + assert result == expected |
| 125 | + |
| 126 | + @pytest.mark.parametrize( |
| 127 | + "color, num_colors, expected", |
| 128 | + [ |
| 129 | + ("Crimson", 1, ["Crimson"]), |
| 130 | + ("DodgerBlue", 2, ["DodgerBlue", "DodgerBlue"]), |
| 131 | + ("firebrick", 3, ["firebrick", "firebrick", "firebrick"]), |
| 132 | + ], |
| 133 | + ) |
| 134 | + def test_user_input_named_color_string(self, color, num_colors, expected): |
| 135 | + result = get_standard_colors(color=color, num_colors=num_colors) |
| 136 | + assert result == expected |
| 137 | + |
| 138 | + @pytest.mark.parametrize("color", ["", [], (), Series([], dtype="object")]) |
| 139 | + def test_empty_color_raises(self, color): |
| 140 | + with pytest.raises(ValueError, match="Invalid color argument"): |
| 141 | + get_standard_colors(color=color, num_colors=1) |
| 142 | + |
| 143 | + @pytest.mark.parametrize( |
| 144 | + "color", |
| 145 | + [ |
| 146 | + "bad_color", |
| 147 | + ("red", "green", "bad_color"), |
| 148 | + (0.1,), |
| 149 | + (0.1, 0.2), |
| 150 | + (0.1, 0.2, 0.3, 0.4, 0.5), # must be either 3 or 4 floats |
| 151 | + ], |
| 152 | + ) |
| 153 | + def test_bad_color_raises(self, color): |
| 154 | + with pytest.raises(ValueError, match="Invalid color"): |
| 155 | + get_standard_colors(color=color, num_colors=5) |
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