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image_comparer = <function image_comparer.<locals>.save_and_compare at 0x7f4e1b579240>
pbmc_scatterplots = AnnData object with n_obs × n_vars = 700 × 765
    obs: 'bulk_labels', 'n_genes', 'percent_mito', 'n_counts', 'S_score...'X_tsne', 'X_diffmap', 'X_densmap'
    varm: 'PCs'
    layers: 'sparse', 'test'
    obsp: 'distances', 'connectivities'
id = 'densmap_nocolor'
fn = functools.partial(<function embedding at 0x7f4e367ee290>, basis='X_densmap')

    @pytest.mark.parametrize(
        ("id", "fn"),
        [
            ("pca", partial(sc.pl.pca, color="bulk_labels")),
            (
                "pca_with_fonts",
                partial(
                    sc.pl.pca,
                    color=["bulk_labels", "louvain"],
                    legend_loc="on data",
                    legend_fontoutline=2,
                    legend_fontweight="normal",
                    legend_fontsize=10,
                ),
            ),
            pytest.param(
                "3dprojection", partial(sc.pl.pca, color="bulk_labels", projection="3d")
            ),
            (
                "multipanel",
                partial(
                    sc.pl.pca,
                    color=["CD3D", "CD79A"],
                    components=["1,2", "1,3"],
                    vmax=5,
                    use_raw=False,
                    vmin=-5,
                    cmap="seismic",
                ),
            ),
            (
                "multipanel_vcenter",
                partial(
                    sc.pl.pca,
                    color=["CD3D", "CD79A"],
                    components=["1,2", "1,3"],
                    vmax=5,
                    use_raw=False,
                    vmin=-5,
                    vcenter=1,
                    cmap="seismic",
                ),
            ),
            (
                "pca_one_marker",
                partial(sc.pl.pca, color="louvain", marker="^"),
            ),
            (
                "pca_one_marker_multiple_colors",
                partial(sc.pl.pca, color=["louvain", "bulk_labels"], marker="^"),
            ),
            (
                "pca_multiple_markers_multiple_colors",
                partial(sc.pl.pca, color=["louvain", "bulk_labels"], marker=["^", "x"]),
            ),
            (
                "pca_marker_with_dimensions",
                partial(
                    sc.pl.pca, color="louvain", marker="^", dimensions=[(0, 1), (1, 2)]
                ),
            ),
            (
                "pca_markers_with_dimensions",
                partial(
                    sc.pl.pca,
                    color="louvain",
                    marker=["^", "x"],
                    dimensions=[(0, 1), (1, 2)],
                ),
            ),
            (
                "pca_markers_colors_with_dimensions",
                partial(
                    sc.pl.pca,
                    color=["louvain", "bulk_labels"],
                    marker=["^", "x"],
                    dimensions=[(0, 1), (1, 2)],
                ),
            ),
            (
                "pca_sparse_layer",
                partial(sc.pl.pca, color=["CD3D", "CD79A"], layer="sparse", cmap="viridis"),
            ),
            pytest.param(
                "tsne",
                partial(sc.pl.tsne, color=["CD3D", "louvain"]),
                marks=pytest.mark.xfail(
                    reason="slight differences even after setting random_state."
                ),
            ),
            ("umap_nocolor", sc.pl.umap),
            (
                "umap",
                partial(
                    sc.pl.umap,
                    color=["louvain"],
                    palette=["b", "grey80", "r", "yellow", "black", "gray", "lightblue"],
                    frameon=False,
                ),
            ),
            (
                "umap_gene_expr",
                partial(
                    sc.pl.umap,
                    color=np.array(["LYZ", "CD79A