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The Frenchy answered on November 8, 2020 Popularity 10/10 Helpfulness 4/10

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from matplotlib import pyplot as plt
from sklearn.decomposition import PCA
import seaborn as sns
import pandas as pd

pca = PCA.fit(X_train)
            
df_var_explained = pd.DataFrame(pca.explained_variance_ratio_)

plt.figure(figsize=(20, 20))

sns.barplot(x=columns,y=pca.explained_variance_ratio_, 
            data=df_var_explained, color="c");

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Contributed on Nov 08 2020

The Frenchy

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