# Sum of Columns & Rows of pandas DataFrame in Python (2 Examples)

In this tutorial you’ll learn how to **calculate the sums of columns and rows of a pandas DataFrame** in the Python programming language.

The content is structured as follows:

Let’s dive right into the examples…

## Example Data & Libraries

In order to use the functions of the pandas library, we first have to load pandas:

import pandas as pd # Load pandas |

import pandas as pd # Load pandas

Furthermore, have a look at the following example data:

data = pd.DataFrame({'x1':[6, 2, 7, 1, 9, 3, 4, 9], # Create example DataFrame 'x2':[2, 5, 7, 1, 3, 1, 2, 3], 'x3':range(8, 0, - 1)}) print(data) # Print example DataFrame |

data = pd.DataFrame({'x1':[6, 2, 7, 1, 9, 3, 4, 9], # Create example DataFrame 'x2':[2, 5, 7, 1, 3, 1, 2, 3], 'x3':range(8, 0, - 1)}) print(data) # Print example DataFrame

Have a look at the previous table. It shows that our example data consists of eight rows and three columns called “x1”, “x2”, and “x3”.

## Example 1: Calculate Sum of Each Column in pandas DataFrame

The following Python code explains how to get the column sums of all numeric variables of a pandas DataFrame in Python.

For this, we can use the sum function as shown below:

print(data.sum()) # Get column sums # x1 41 # x2 24 # x3 36 # dtype: int64 |

print(data.sum()) # Get column sums # x1 41 # x2 24 # x3 36 # dtype: int64

Have a look at the previous Python console output: It shows the result of adding all values in a column. The sum of all values in the column x1 is 41, the sum of the variable x2 is 24, and the sum of column x3 is 36.

## Example 2: Calculate Sum of Each Row in pandas DataFrame

In Example 2, I’ll explain how to compute the row sums of all rows of a pandas DataFrame.

Similar to Example 1, we can use the sum function for this task. However, in order to return the row sums instead of the column sums, we have to specify the axis argument within the sum function to be equal to 1:

print(data.sum(axis = 1)) # Get row sums # 0 16 # 1 14 # 2 20 # 3 7 # 4 16 # 5 7 # 6 8 # 7 13 # dtype: int64 |

print(data.sum(axis = 1)) # Get row sums # 0 16 # 1 14 # 2 20 # 3 7 # 4 16 # 5 7 # 6 8 # 7 13 # dtype: int64

The previous console output shows the sum of each row in our example data set.

## Video, Further Resources & Summary

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Summary: This article has explained how to **compute the sums of columns and rows of a pandas DataFrame** in the Python programming language. Please tell me about it in the comments, if you have any additional comments or questions.

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