legend_width not work when set *_dendrogram=True

[welyt]

when set *_dendrogram=True
cm = ph.ClusterMapPlotter( data=z_df, top_annotation=col_ha, left_annotation=row_annotation, label='z-score', show_rownames=False, show_colnames=True, col_cluster=True, row_cluster=True, col_split_gap=3, col_dendrogram=True, row_dendrogram=True, legend_width=50, verbose=0)

when set *_dendrogram=False

[DingWB]

I don't think this is an issue when you used a tight layout, if the real legend width of color_dict legend was smaller than the given legend_width=50, then there would be no influence. Minor suggestion, you can decrease the width/height of the row/col dendrogram to make the figure looks better.

[welyt]

I have set the tight parameter， I tried setting row_ dendrogram=False， But the legend still has cover。

    plt.figure(figsize=(16, 10), dpi=300)
    cm = ph.ClusterMapPlotter(
        data=df_corr,
        label='pearson', show_rownames=False, row_names_side='left', top_annotation=col_ha,left_annotation=row_ha,
        show_colnames=True, col_cluster=True, row_cluster=True,
        col_dendrogram=True, row_dendrogram=False, row_dendrogram_size=20, col_dendrogram_size=20,legend_width=20,
        linewidths=0.001,linecolor='white',
        col_split_gap=2, row_split_gap=2)
    cm.ax.set_title(f"{prefix}-相关性热图—聚类", y=1.03, fontdict={'fontweight':'bold'})
    if debug:
        plt.show()
    else:
        plt.savefig(f"{out_dir}/{prefix}_相关性热图_聚类.png", bbox_inches = 'tight')

[DingWB]

Please give me the dataset you used in this example, so that I can debug it.

[welyt]

Please give me the dataset you used in this example, so that I can debug it. data_frame_in.csv sample_info.csv

data_frame_in = pd.read_csv("data_frame_in.csv", sep="\t", index_col=0)
sample_info = pd.read_csv('sample_info.csv', sep="\t", index_col=0)
plt.figure(figsize=(16, 10), dpi=300)
col_ha = ph.HeatmapAnnotation(
    志愿者=ph.anno_simple(sample_info['志愿者编号'], cmap='Paired'),
    类别=ph.anno_simple(sample_info['类别'], cmap='Set1'), wspace=2,
    axis=1)
cm = ph.ClusterMapPlotter(
    data=data_frame_in,
    label='test', show_rownames=False, row_names_side='left', top_annotation=col_ha,
    show_colnames=True, col_cluster=True, row_cluster=True,
    col_dendrogram=True, row_dendrogram=True, row_dendrogram_size=20, col_dendrogram_size=20,legend_width=20)
cm.ax.set_title("热图—聚类", y=1.03, fontdict={'fontweight':'bold'})
plt.show()

[welyt]

Please give me the dataset you used in this example, so that I can debug it.

sorry, it may my fault(reboot jupyter), now it works fine!