merge_machine/missing_values.py
def compute_all_top_values(tab, num_top_values):
    '''
    Returns a dict with columns of the table as keys and the top 10 most 
    frequent values in a pandas Series
    '''
    all_top_values = dict()
    for col in tab.columns:
        all_top_values[col] = tab[col].value_counts(True).head(num_top_values)
    return all_top_values

    Returns a dict with columns of the table as keys and the top 10 most 
    frequent values in a pandas Series
    
Returns a dict with columns of the table as keys and the top 10 most
frequent values in a pandas Series
Returns a dict with columns of the table as keys and the top 10 most frequent values in a pandas Series
def compute_all_top_values(tab, num_top_values):
    all_top_values = dict()
    for col in tab.columns:
        all_top_values[col] = tab[col].value_counts(True).head(num_top_values)
    return all_top_values
def compute_all_top_values ( tab , num_top_values ) : all_top_values = dict ( ) for col in tab . columns : all_top_values [ col ] = tab [ col ] . value_counts ( True ) . head ( num_top_values ) return all_top_values
Returns a dict with columns of the table as keys and the top 10 most
frequent values in a pandas Series
Returns a dict with columns of the table as keys and the top 10 most frequent values in a pandas Series
'''
    Returns a dict with columns of the table as keys and the top 10 most 
    frequent values in a pandas Series
    '''
tab
num_top_values