Pandas DataFrame: sum() function

Last update on August 19 2022 21:50:51 (UTC/GMT +8 hours)

DataFrame - sum() function

The sum() function is used to get the sum of the values for the requested axis.

This is equivalent to the method numpy.sum.

Syntax:

DataFrame.sum(self, axis=None, skipna=None, level=None, numeric_only=None, min_count=0, **kwargs)

Parameters:

Name	Description	Type/Default Value	Required / Optional
axis	Axis for the function to be applied on.	{index (0), columns (1)}	Required
skipna	Exclude NA/null values when computing the result.	bool Default Value: True	Required
level	If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a Series.	int or level name Default Value: None	Required
numeric_only	Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series.	bool Default Value: None	Required
min_count	The required number of valid values to perform the operation. If fewer than min_count non-NA values are present the result will be NA.	int Default Value: 0	Required
**kwargs	Additional keyword arguments to be passed to the function.		Required

Returns: Series or DataFrame (if level specified)

Example:

Download the Pandas DataFrame Notebooks from here.

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