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