Pandas DataFrame: le() function
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:
Download the Pandas DataFrame Notebooks from here.
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