sum pandas rows code example

Example 1: pandas sum rows

# Basic syntax:
df.sum(axis=1)

# Create new column consisting of row sums across specific columns:
df['sums'] = df.iloc[:, 6:23].sum(axis=1)

# Where:
#	- iloc allows you to specify the rows and columns with slicing. Here
#		I select all rows and sum over columns 6-22
#	- df['sums'] is how you assign a new column named 'sums' to the df

# Example usage:
import pandas as pd
import numpy as np

# Create dataframe:
df = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]), 
                  columns=['a', 'b', 'c'])

print(df)
   a  b  c
0  1  2  3
1  4  5  6
2  7  8  9

# Sum columns 1-2:
df['sums'] = df.iloc[:, 1:3].sum(axis=1)

print(df)
   a  b  c  sums
0  1  2  3     5
1  4  5  6    11
2  7  8  9    17

Example 2: pandas sum

df.loc['Total'] = pd.Series(df['MyColumn'].sum(), index = ['MyColumn'])
print (df)
         X  MyColumn      Y      Z
0        A      84.0   13.0   69.0
1        B      76.0   77.0  127.0
2        C      28.0   69.0   16.0
3        D      28.0   28.0   31.0
4        E      19.0   20.0   85.0
5        F      84.0  193.0   70.0
Total  NaN     319.0    NaN    NaN