Pandas DataFrame: combine() function

Last update on August 19 2022 21:50:33 (UTC/GMT +8 hours)

DataFrame - combine() function

The combine() function performs column-wise combine with another DataFrame.

Combines a DataFrame with other DataFrame using func to element-wise combine columns. The row and column indexes of the resulting DataFrame will be the union of the two.

Syntax:

DataFrame.combine(self, other, func, fill_value=None, overwrite=True)

Parameters:

Name	Description	Type/Default Value	Required / Optional
other	The DataFrame to merge column-wise.	DataFrame	Required
func	Function that takes two series as inputs and return a Series or a scalar. Used to merge the two dataframes column by columns.	function	Required
fill_value	The value to fill NaNs with prior to passing any column to the merge func.	int or label	Required
fill_value	Fill existing missing (NaN) values, and any new element needed for successful DataFrame alignment, with this value before computation. If data in both corresponding DataFrame locations is missing the result will be missing.	scalar value Default Value: None	Required
overwrite	If True, columns in self that do not exist in other will be overwritten with NaNs.	bool Default Value: True	Required

Returns: DataFrame
Combination of the provided DataFrames.

Example:

Download the Pandas DataFrame Notebooks from here.

Previous: DataFrame - eq() function
Next: DataFrame - combine_first() function