pyspark.pandas.DataFrame.le¶
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DataFrame.le(other: Any) → pyspark.pandas.frame.DataFrame[source]¶ 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.le(2) a b a True True b True False c False True d False False