Pandas DataFrame: le() function

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

DataFrame - le() function

The le() function returns less than or equal to of dataframe and other, element-wise.

Among flexible wrappers (eq, ne, le, lt, ge, gt) to comparison operators.

Equivalent to ==, =!, <=, <, >=, > with support to choose axis (rows or columns) and level for comparison.

Syntax:

DataFrame.le(self, other, axis='columns', level=None)

Parameters:

Name	Description	Type/Default Value	Required / Optional
other	Any single or multiple element data structure, or list-like object.	scalar, sequence, Series, or DataFrame	Required
axis	Whether to compare by the index (0 or ‘index’) or columns (1 or ‘columns’).	{0 or ‘index’, 1 or ‘columns’} Default Value: ‘columns’	Required
level	Broadcast across a level, matching Index values on the passed MultiIndex level.	int or label	Required

Returns: DataFrame of bool
Result of the comparison.

Notes:

Mismatched indices will be unioned together. NaN values are considered different (i.e. NaN != NaN).

Example:

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