# Get Sum in Python – List, pandas DataFrame Column & Row (4 Examples)

In this article you’ll learn how to compute the sum of a list or a pandas DataFrame column in Python.

## Example 1: Calculating the Sum of a List Object

 my_lt = [10, 6, 2, 2, 15, 20, 3, 7, 4] # Constructing a list in Python print(my_lt) # [10, 6, 2, 2, 15, 20, 3, 7, 4]
 import numpy as np # Import NumPy library in Python
 print(np.sum(my_lt)) # Computing the sum of a list # 69

## Example 2: Calculating the Sum of the Columns in a pandas DataFrame

 import pandas as pd # Import pandas
 my_df = pd.DataFrame({'A':range(10, 17), # Constructing a pandas DataFrame 'B':[6, 1, 8, 5, 3, 8, 9], 'C':range(2, 9), 'GRP':['gr1', 'gr2', 'gr1', 'gr3', 'gr1', 'gr2', 'gr3']}) print(my_df) # A B C GRP # 0 10 6 2 gr1 # 1 11 1 3 gr2 # 2 12 8 4 gr1 # 3 13 5 5 gr3 # 4 14 3 6 gr1 # 5 15 8 7 gr2 # 6 16 9 8 gr3
 print(my_df.sum()) # Computing the sum of all columns # A 91 # B 40 # C 35 # GRP gr1gr2gr1gr3gr1gr2gr3 # dtype: object

## Example 3: Calculating the Sum of the Columns in a pandas DataFrame by Group

 print(my_df.groupby('GRP').sum()) # Computing the column sums by group # A B C # GRP # gr1 36 17 12 # gr2 26 9 10 # gr3 29 14 13

## Example 4: Calculating the Sum of the Rows in a pandas DataFrame

 print(my_df.sum(axis = 1)) # Computing the sum of all rows # 0 18 # 1 15 # 2 24 # 3 23 # 4 23 # 5 30 # 6 33 # dtype: int64