Pandas DataFrame: mode() function

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

DataFrame - mode() function

The mode() function is used to get the mode(s) of each element along the selected axis.

The mode of a set of values is the value that appears most often. It can be multiple values.

Syntax:

DataFrame.mode(self, axis=0, numeric_only=False, dropna=True)

Parameters:

Name	Description	Type/Default Value	Required / Optional
axis	The axis to iterate over while searching for the mode: 0 or ‘index’ : get mode of each column 1 or ‘columns’ : get mode of each row	{0 or ‘index’, 1 or ‘columns’} Default Value: 0	Required
numeric_only	If True, only apply to numeric columns.	bool Default Value: False	Required
dropna	Don’t consider counts of NaN/NaT.	bool Default Value: True	Required

Name

Description

Type/Default Value

Required / Optional

axis

The axis to iterate over while searching for the mode:

{0 or ‘index’, 1 or ‘columns’}
Default Value: 0

Required

numeric_only

If True, only apply to numeric columns.

bool
Default Value: False

Required

dropna

Don’t consider counts of NaN/NaT.

bool
Default Value: True

Required

Returns: DataFrame
The modes of each column or row.

Example:

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