Pandas DataFrame: lt() function

DataFrame - lt() function

The lt() function returns less than of series and other, element-wise (binary operator lt).

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.


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


Name Description Type/Default Value Required / Optional

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’
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.


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


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