fig, axes = plt.subplots(rows,cols, figsize=(20,20)) axes = axes.ravel() for i, col in enumerate(train_df.columns) : sns.histplot(train_df[col], kde=True, stat='density', ax=axes[i]) fig.suptitle("Distribution plot for each feature") fig.tight_layout()