How can I center align the xtickslabel? It is slightly offset to the left in the figure.

[z626093820]

How can I center align the xtickslabel? It is slightly offset to the left in the figure.

import PyComplexHeatmap as pch
import matplotlib.pylab as plt
from PyComplexHeatmap import *
plt.rcParams['font.sans-serif']='SimHei'
plt.figure(figsize=(8, 8))

row_ha = pch.HeatmapAnnotation(
Bar=pch.anno_barplot(df4,
height=40,cmap='rainbow',legend=False),
# selected=pch.anno_label(df_rows,colors='red',relpos=(-0.05,0.4)),
label_kws={'rotation':15,'horizontalalignment':'left','verticalalignment':'bottom'},
axis=0,verbose=0)

cm = pch.ClusterMapPlotter(data=df3,right_annotation=row_ha,
col_cluster=False,row_cluster=False,
col_split=2,row_split=2,
col_split_gap=1,row_split_gap=1,
label='values',
show_rownames=True,show_colnames=True,
row_names_side='left',col_names_side='bottom',
xticklabels_kws=dict(labelrotation=360,labelcolor='black',labelsize=14,bottom=True),
yticklabels_kws=dict(labelcolor='black',labelsize=14,left=True),
linewidths=0.01,linecolor='grey',
# legend_gap=20,
cmap='RdYlBu_r')
plt.show()

[DingWB]

All the parameters are passed to matplotlib, such as ha, va and rotation.
You can use the same way as you did in matplotlib plot.
For example, xticklabels_kws=dict(labelrotation=-90,labelcolor='black',labelsize=14,bottom=True,ha='center'),

[z626093820]

ha='center'

When I use xticklabels_kws=dict(labelrotation=-90,labelcolor='black',labelsize=14,bottom=True,ha='center'),

it prompts me：

ValueError: keyword ha is not recognized; valid keywords are ['size', 'width', 'color'......

Are there any other methods? Thank you very much.

[DingWB]

Please follow the documentation here.
I don't know why you set the rotation to 360.
The xticklabels_kws is passed to https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.tick_params.html.
There is nothing I can do I there is no such kind of parameter (ha='center') in matplotlib.

[DingWB]

You can also get the ax object from cm.heatmap_axes and do whatever you want.
For example, change the alignment: https://matplotlib.org/stable/gallery/ticks/centered_ticklabels.html
Or set the ticklabels: ax.set_xticklabels(labels, rotation=45, ha='right', rotation_mode='anchor')

Such as what I did here: https://dingwb.github.io/PyComplexHeatmap/build/html/notebooks/cpg_modules.html#Plotting-the-Dot-clustermap

# plot custom spines
for i in range(cm.heatmap_axes.shape[0]):
    for j in range(cm.heatmap_axes.shape[1]):
        if i != j:
            continue
        ax = cm.heatmap_axes[i][j]
        for side in ["top", "right", "left", "bottom"]:
            ax.spines[side].set_visible(True)
            ax.spines[side].set_color('red')
            ax.spines[side].set_linewidth(2)

[z626093820]

You can also get the ax object from cm.heatmap_axes and do whatever you want. For example, change the alignment: https://matplotlib.org/stable/gallery/ticks/centered_ticklabels.html Or set the ticklabels: ax.set_xticklabels(labels, rotation=45, ha='right', rotation_mode='anchor')

Such as what I did here: https://dingwb.github.io/PyComplexHeatmap/build/html/notebooks/cpg_modules.html#Plotting-the-Dot-clustermap

plot custom spines

for i in range(cm.heatmap_axes.shape[0]):
for j in range(cm.heatmap_axes.shape[1]):
if i != j:
continue
ax = cm.heatmap_axes[i][j]
for side in ["top", "right", "left", "bottom"]:
ax.spines[side].set_visible(True)
ax.spines[side].set_color('red')
ax.spines[side].set_linewidth(2)

THANK YOU!!