Function test_plot1d_default_rcparams

xarray/tests/test_plot.py:3503–3534

()

@requires_matplotlib
def test_plot1d_default_rcparams() -> None:
    import matplotlib as mpl

    ds = xr.tutorial.scatter_example_dataset(seed=42)

    with figure_context():
        # scatter markers should by default have white edgecolor to better
        # see overlapping markers:
        _fig, ax = plt.subplots(1, 1)
        ds.plot.scatter(x="A", y="B", marker="o", ax=ax)
        actual: np.ndarray = mpl.colors.to_rgba_array("w")
        expected: np.ndarray = ax.collections[0].get_edgecolor()  # type: ignore[assignment]
        np.testing.assert_allclose(actual, expected)

        # Facetgrids should have the default value as well:
        fg = ds.plot.scatter(x="A", y="B", col="x", marker="o")
        ax = fg.axs.ravel()[0]
        actual = mpl.colors.to_rgba_array("w")
        expected = ax.collections[0].get_edgecolor()  # type: ignore[assignment,unused-ignore]
        np.testing.assert_allclose(actual, expected)

        # scatter should not emit any warnings when using unfilled markers:
        with assert_no_warnings():
            _fig, ax = plt.subplots(1, 1)
            ds.plot.scatter(x="A", y="B", ax=ax, marker="x")

        # Prioritize edgecolor argument over default plot1d values:
        _fig, ax = plt.subplots(1, 1)
        ds.plot.scatter(x="A", y="B", marker="o", ax=ax, edgecolor="k")
        actual = mpl.colors.to_rgba_array("k")
        expected = ax.collections[0].get_edgecolor()  # type: ignore[assignment]
        np.testing.assert_allclose(actual, expected)


@requires_matplotlib