EDA_hists_and_value_counts.py

# create a list of categorical features to loop over
list_categorical_features = df.columns[(df.dtypes == np.object).values].to_list()

# create a list of numerical features to loop over
list_numerical_features = df.columns[np.logical_not((df.dtypes == np.object).values)].to_list()

# plot on histogram for each numerical feature
for numerical_feature in list_numerical_features:
    plt.title(f"Histogram of {numerical_feature}")
    plt.hist(df[numerical_feature])
    plt.show()
    
# call value_counts for each categorical feature
for cat_feature in list_categorical_features:
    print(df[cat_feature].value_counts())