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DataFrame.pow(other, axis='columns', level=None, fill_value=None)
[source] -
Exponential power of dataframe and other, element-wise (binary operator
pow
).Equivalent to
dataframe ** other
, but with support to substitute a fill_value for missing data in one of the inputs.Parameters: other : Series, DataFrame, or constant
axis : {0, 1, ?index?, ?columns?}
For Series input, axis to match Series index on
fill_value : None or float value, default None
Fill missing (NaN) values with this value. If both DataFrame locations are missing, the result will be missing
level : int or name
Broadcast across a level, matching Index values on the passed MultiIndex level
Returns: result : DataFrame
See also
Notes
Mismatched indices will be unioned together
DataFrame.pow()
2017-01-12 04:46:19
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