cudf.DataFrame.log#
- DataFrame.log()#
Get the natural logarithm of all elements, element-wise.
Natural logarithm is the inverse of the exp function, so that x.log().exp() = x
- Returns
- DataFrame/Series/Index
Result of the element-wise natural logarithm.
Examples
>>> import cudf >>> ser = cudf.Series([-1, 0, 1, 0.32434, 0.5, -10, 100]) >>> ser 0 -1.00000 1 0.00000 2 1.00000 3 0.32434 4 0.50000 5 -10.00000 6 100.00000 dtype: float64 >>> ser.log() 0 NaN 1 -inf 2 0.000000 3 -1.125963 4 -0.693147 5 NaN 6 4.605170 dtype: float64
log operation on DataFrame:
>>> df = cudf.DataFrame({'first': [-1, -10, 0.5], ... 'second': [0.234, 0.3, 10]}) >>> df first second 0 -1.0 0.234 1 -10.0 0.300 2 0.5 10.000 >>> df.log() first second 0 NaN -1.452434 1 NaN -1.203973 2 -0.693147 2.302585
log operation on Index:
>>> index = cudf.Index([10, 11, 500.0]) >>> index Float64Index([10.0, 11.0, 500.0], dtype='float64') >>> index.log() Float64Index([2.302585092994046, 2.3978952727983707, 6.214608098422191], dtype='float64')