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seaborn distribution plot for all columns

x = 2
y = 2

fig, ax = plt.subplots(x, y, figsize=(32, 72))
col = 0
column = df_train.drop('id', axis=1).columns
for i in range(x):
    for j in range(y):
        sns.distplot(df[column[col]], color='purple', ax=ax[i][j])
        ax[i][j].set_title(*[column[col]])
        col+=1

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seaborn distribution plot for all columns

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