w3resource

Pandas DataFrame: ne() function

DataFrame - ne() function

The ne() function returns not 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.mul(self, other, axis='columns', level=None, fill_value=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 above Notebook from here.

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