gnurio

import pandas as pd
from sklearn.preprocessing import LabelEncoder,OneHotEncoder

def decode_encode(colname):

    '''
    (str) -> (DataFrame)

    Returns a Data Frame with the column given to it transformed into a One-hot encoded set of columns

gnurio

import pandas as pd
from scipy.stats import mode

grouped_mod = df.pivot_table(values='The metric you need the mode for',columns='Category',aggfunc=mode)