import numpy as np
import pandas as pd
from scipy import stats
from matplotlib import pyplot as plt
import seaborn as sns
plt.rcParams['font.sans-serif'] = ['Arial Unicode MS']#让中文的地方显示出来
filePath_01 = 'C:/Users/46/De/科研数据/数据汇总/新建处理后后连续变量.xlsx'
df = pd.read_excel(filePath_01,sheet_name = 'Sheet1')
df.head()
df_coor=df.corr()
df_coor.head()
plt.subplots(figsize=(12,12),dpi=100,facecolor='w')# 设置画布大小,分辨率,和底色
fig=sns.heatmap(df_coor,annot=True, vmax=1, square=True, cmap="Blues", fmt='.3f')#annot为热力图上显示数据;fmt='.2f'为数据保留小数点后两位,square呈现正方形,vmax最大值为1fig
fig.get_figure().savefig('df_corr.png',bbox_inches='tight',transparent=True)#保存图片
#bbox_inches让图片显示完整,transparent=True让图片背景透明
做出来的测试效果: