torcharrow.DataFrame.log

DataFrame.log() → DataFrame

Return a DataFrame with natural logarithm value of each element.

Examples

>>> import torcharrow as ta
>>> df = ta.dataframe({"a": [1,2,None,4],
                        "b": [5, 6, None, 8]
                        })
>>> df.min()
index         a        b
-------  --------  -------
    0  0         1.60944
    1  0.693147  1.79176
    2
    3  1.38629   2.07944
dtype: Struct([Field('a', Float32(nullable=True)), Field('b', Float32(nullable=True))]), count: 4, null_count: 0