data frame of feature

import pandas as pd

df = pd.DataFrame({
    'A': [101, 102, 99, 100, 105],
    'B': [27, 31, 33, 34, 40],
    'C': [300, 211, 203, 299, 254]
})

def gen_feature(source_df):

    feat_x = []
    feat_y = []

    for i  , val in source_df.iteritems():

        # define feature x and feature y here
        x = val * 10
        y = val + 2

        feat_x.append(x)
        feat_y.append(y)

    # convert feature into corresponding dataframes
    df_x = pd.DataFrame( zip(*feat_x), columns = [ series.name for series in feat_x])
    df_y = pd.DataFrame( zip(*feat_y), columns = [ series.name for series in feat_y])

    return df_x, df_y

res1, res2 = gen_feature(df)

print("\n", "source df \n", df)
print("\n", "feature x of df \n", res1)
print("\n", "feature y of df \n", res2)