pyspark.pandas.DataFrame.lt

DataFrame.lt(other)

Compare if the current value is less than the other.

>>> df = ps.DataFrame({'a': [1, 2, 3, 4],
...                    'b': [1, np.nan, 1, np.nan]},
...                   index=['a', 'b', 'c', 'd'], columns=['a', 'b'])

>>> df.lt(1)
       a      b
a  False  False
b  False  False
c  False  False
d  False  False