In this post you learn how to sum a column in Pandas library.
Sum calculations for a column
To sum the values of a column in a pandas DataFrame, you can use the sum method:
import pandas as pd df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) result = df['A'].sum()
You can also use the agg method to perform multiple aggregation functions on multiple columns at once:
result = df.agg({'A': 'sum', 'B': 'sum'})
In this example, the agg method returns a Series with the sum of values in each column:
A 6 B 15 dtype: int64
See also:
How to calculate sum of rows and columns in Pandas
How to calculate cumulative sum in Pandas
How to add a column