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Difference between the methods power and float_power in NumPy

schedule Mar 5, 2023
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Both methods are used to raise each value in the input array by the specified amount.

The key difference is that Numpy's power(~) method uses the same data-type as the input array to perform the calculation; if your input array only contains integers, then the returned result will also be of type int. On the other hand, float_power(~) always uses float64 for maximum precision.

Here's a simple example:

x = [1,2,3]
np.power(x, 2) # Type is int64 since the input is of type int64
array([1, 4, 9])
x = [1,2,3]
np.float_power(x, 2) # Type is float64
array([1., 4., 9.])
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Published by Isshin Inada
Edited by 0 others
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