如何让umap图的颜色更好看

方法一：

sc.pl.umap(adata,color=['Cluster'],
          palette={
        "clusterA": "#d5695d",
        "clusterB": "#5d8ca8",
        "clusterC": "lightgrey",})

这样就可以任意修改为自己的颜色了

方法二：

from matplotlib import pyplot as plt, cm as mpl_cm
from cycler import cycler
sc.pl.umap(
    adata,
    color="cc_aa_alignment",
    groups=clonotypes_top_modularity,
    palette=cycler(color=mpl_cm.Dark2_r.colors),
)

如果想要调整指定的点的大小：

fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 4), gridspec_kw={"wspace": 0.6})
sc.pl.umap(adata, color="cluster", ax=ax1, show=False)
sc.pl.umap(
    adata,
    color="clone_id",
    groups=top_differential_clonotypes,
    ax=ax2,
    # increase size of highlighted dots
    size=[
        80 if c in top_differential_clonotypes else 30 for c in adata.obs["clone_id"]
    ],
    palette=cycler(color=mpl_cm.Dark2_r.colors),
)