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# Difference between the methods power and float_power in NumPy

*schedule*Aug 11, 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.])
```

Published by Isshin Inada

Edited by 0 others

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