Group-by and Sum in Python Pandas

Python Server Side Programming Programming

To find group-by and sum in Python Pandas, we can use groupby(columns).sum().

Steps

Create a two-dimensional, size-mutable, potentially heterogeneous tabular data, df.
Print the input DataFrame, df.
Find the groupby sum using df.groupby().sum(). This function takes a given column and sorts its values. After that, based on the sorted values, it also sorts the values of other columns.
Print the groupby sum.

Example

import pandas as pd

df = pd.DataFrame(
    {
       "Apple": [5, 2, 7, 0],
       "Banana": [4, 7, 5, 1],
       "Carrot": [9, 3, 5, 1]
    }
)

print "Input DataFrame 1 is:\n", df
g_sum = df.groupby(['Apple']).sum()
print "Group by Apple is:\n", g_sum

Output

Input DataFrame 1 is:

   Apple Banana Carrot
0    5     4      9
1    2     7      3
2    7     5      5
3    0     1      1

Group by Apple is:

Apple Banana Carrot
0       1      1
2       7      3
5       4      9
7       5      5

Rishikesh Kumar Rishi

Published on 14-Sep-2021 11:52:59

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