python可视化：为heatmap实现自定义colorbar

import pandas as pdimport seaborn as snsimport matplotlib.pyplot as pltdata=pd.read_excel(r'C:\Users\34428\Desktop\test.xlsx')h=sns.heatmap(data=data.corr(),cmap ='YlGnBu',cbar=False#设置cbar=False，删除se

读童话的狼

4866人浏览 · 2021-03-21 15:20:26

读童话的狼 · 2021-03-21 15:20:26 发布

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
data=pd.read_excel(r'C:\Users\34428\Desktop\test.xlsx')

h=sns.heatmap(data=data.corr()
              ,cmap ='YlGnBu'
              ,cbar=False   #设置cbar=False，删除seaborn中默认的colorbar
              ,annot=True
              ,vmin=0
              ,vmax=1)

#自定义colorbar
cb = h.figure.colorbar(h.collections[0]) #显示colorbar
cb.ax.tick_params(labelsize=10)#设置colorbar刻度字体大小
cb.set_label('colorbar label') #设置colorbar的label
plt.show()