seaborn绘制上三角热力图

import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

df = pd.read_excel('F:/第一个时期.xls')
data = df.corr()
mask = np.zeros_like(data)
mask[np.tril_indices_from(mask)] = True #根据官网的triu_是下三角推测u为upper,相应的掩膜去下三角就得是lower的开头字母l
sns.heatmap(data, mask=mask, vmax=.3, square=True)

plt.show()