pyspark.pandas.Series.le¶
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Series.le(other: Any) → pyspark.pandas.series.Series¶ Compare if the current value is less than or equal to 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.a <= 2 a True b True c False d False Name: a, dtype: bool
>>> df.b.le(2) a True b False c True d False Name: b, dtype: bool