部分代码：
import numpy
import pandas as pd
import numpy as np
from matplotlib.font_manager import FontProperties
font_set = FontProperties(fname=r"c:windowsfontssimsun.ttc", size=15)
df = pd.read_csv('XXX.csv', encoding='gbk')
corr=np.corrcoef(df.values,rowvar=0)
import seaborn as sns
import matplotlib.pyplot as plt
values=corr
plt.figure(figsize=(18,22))
x_ticks = ["a","b","c","d","e","f","g","h","i","j","k","l","m","m"]
y_ticks = ["a","b","c","d","e","f","g","h","i","j","k","l","m","m"] # 自定义横纵轴
......
结果图：
完整代码链接：皮尔森相关性系数的计算python代码（四）
相关链接
1、皮尔森相关性系数的计算python代码（一）
2、皮尔森相关性系数的计算python代码（二）
3、皮尔森相关性系数的计算python代码（三）
4、皮尔森相关性系数的计算python代码（四）（热力图版）
5、斯皮尔曼相关系数计算的python代码
