scree plot
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");