Return GroupBy Object Back to New pandas DataFrame in Python (Example Code)

import pandas as pd                                 # Import pandas library

import pandas as pd # Import pandas library

my_df = pd.DataFrame({'A':range(19, 28),            # Constructing a pandas DataFrame
                      'B':[6, 7, 3, 9, 1, 3, 8, 8, 9],
                      'C':range(20, 11, - 1),
                      'GRP_a':['gr1', 'gr1', 'gr2', 'gr3', 'gr1', 'gr2', 'gr2', 'gr3', 'gr3'],
                      'GRP_b':['x', 'x', 'x', 'x', 'y', 'y', 'y', 'y', 'y']})
print(my_df)
#     A  B   C GRP_a GRP_b
# 0  19  6  20   gr1     x
# 1  20  7  19   gr1     x
# 2  21  3  18   gr2     x
# 3  22  9  17   gr3     x
# 4  23  1  16   gr1     y
# 5  24  3  15   gr2     y
# 6  25  8  14   gr2     y
# 7  26  8  13   gr3     y
# 8  27  9  12   gr3     y

my_df = pd.DataFrame({'A':range(19, 28), # Constructing a pandas DataFrame 'B':[6, 7, 3, 9, 1, 3, 8, 8, 9], 'C':range(20, 11, - 1), 'GRP_a':['gr1', 'gr1', 'gr2', 'gr3', 'gr1', 'gr2', 'gr2', 'gr3', 'gr3'], 'GRP_b':['x', 'x', 'x', 'x', 'y', 'y', 'y', 'y', 'y']}) print(my_df) # A B C GRP_a GRP_b # 0 19 6 20 gr1 x # 1 20 7 19 gr1 x # 2 21 3 18 gr2 x # 3 22 9 17 gr3 x # 4 23 1 16 gr1 y # 5 24 3 15 gr2 y # 6 25 8 14 gr2 y # 7 26 8 13 gr3 y # 8 27 9 12 gr3 y

my_df_gr = my_df.groupby(['GRP_a', 'GRP_b']).sum()  # GroupBy pandas DataFrame
print(my_df_gr)
#               A   B   C
# GRP_a GRP_b            
# gr1   x      39  13  39
#       y      23   1  16
# gr2   x      21   3  18
#       y      49  11  29
# gr3   x      22   9  17
#       y      53  17  25

my_df_gr = my_df.groupby(['GRP_a', 'GRP_b']).sum() # GroupBy pandas DataFrame print(my_df_gr) # A B C # GRP_a GRP_b # gr1 x 39 13 39 # y 23 1 16 # gr2 x 21 3 18 # y 49 11 29 # gr3 x 22 9 17 # y 53 17 25

my_df_gr_updated = my_df_gr.reset_index()           # Convert grouped index back
print(my_df_gr_updated)
#   GRP_a GRP_b   A   B   C
# 0   gr1     x  39  13  39
# 1   gr1     y  23   1  16
# 2   gr2     x  21   3  18
# 3   gr2     y  49  11  29
# 4   gr3     x  22   9  17
# 5   gr3     y  53  17  25

my_df_gr_updated = my_df_gr.reset_index() # Convert grouped index back print(my_df_gr_updated) # GRP_a GRP_b A B C # 0 gr1 x 39 13 39 # 1 gr1 y 23 1 16 # 2 gr2 x 21 3 18 # 3 gr2 y 49 11 29 # 4 gr3 x 22 9 17 # 5 gr3 y 53 17 25