How to make a correlation matrix in python

import pandas as pd import matplotlib.pyplot as plt import seaborn as sns import numpy as np data = pd.read_excel("C:/Users/Karina Adcock/Documents/data analysis/samples/data.xlsx","Sheet1") my_matrix = data.corr(method="spearman").round(2) #my_matrix.style.background_gradient(cmap="Greens") #pd.plotting.scatter_matrix(my_matrix, figsize=(8,8)) my_mask = np.triu(np.ones_like(my_matrix,dtype=bool)) plt.figure(figsize=(10,8)) #width, height sns.heatmap(my_matrix, cmap="Blues", vmin=0, vmax=1, annot=True, fmt="0.2f", square=True, mask=my_mask) plt.show() https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.corr.html https://r02b.github.io/seaborn_palettes/ https://seaborn.pydata.org/generated/seaborn.heatmap.html