visualize correlation matrix python
import seaborn as sns
df = sns.load_dataset('iris')
corr_matrix = df.corr()
corr_matrix.style.background_gradient(cmap='coolwarm')
# 'RdBu_r', 'BrBG_r', & PuOr_r are other good diverging colormapsvisualize correlation matrix python
import seaborn as sns
df = sns.load_dataset('iris')
corr_matrix = df.corr()
corr_matrix.style.background_gradient(cmap='coolwarm')
# 'RdBu_r', 'BrBG_r', & PuOr_r are other good diverging colormapscovariance matrix python
import numpy as np
A = [45,37,42,35,39]
B = [38,31,26,28,33]
C = [10,15,17,21,12]
data = np.array([A,B,C])
covMatrix = np.cov(data,bias=True)
print (covMatrix)Copyright © 2021 Codeinu
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