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 colormaps
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 colormaps
correlation coefficient python numpy example
>>> r = np.corrcoef(x, y)
>>> r
array([[1. , 0.75864029],
[0.75864029, 1. ]])
>>> r[0, 1]
0.7586402890911867
>>> r[1, 0]
0.7586402890911869
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