# 
## What is  `numpy.float_power()`?
The `numpy.float_power()` method gives a result that raises each element of the first array `x1` to the power of each element of the second array `x2`. 

>  **Note:** In Python, a list of lists can be used to create a two-dimensional (2-D) array.

## Syntax
```
numpy.float_power(x1, x2, dtype=None, out=None)
```
## Parameters
- `x1`: array-like, which represents the data input. 
- `x2`: array-like, which represents the data input. 
- `dtype`: This is an optional parameter. It represents the array's return type. 
- `out`: This is an optional parameter. It denotes the alternate output array where the result will be stored.


> **Note:** If `x1` and `x2` have different shapes, they must be broadcastable to a common output shape.

## Return value

The method `numpy.float power()` returns an array with `x1` elements raised to exponents in `x2`.



## Example

The following code shows how to use the `numpy.float_power()` method for 2-D arrays.


# import numpy
import numpy as np
# create a two 2D arrays
x1 = np.array([[2,7,3,9],[6,2,5,8]])
x2 = np.array([[5,4,6,11],[2,9,10,1]])

# compute the power of the 2D arrays
# and store the result in res
res = np.float_power(x1, x2)

print(res)

## Explanation

- Line 2: We import the `numpy` library. 
- Line 4–5: We create the `x1` and `x2` 2-D arrays. 
- Line 9: To compute the power of the arrays `x1` and `x2`, we utilize the `np.float_power()` function. The outcome is saved in a new variable named `res`. 
- Line 11: We display the result.

How to use the np.float_power() function for 2D array

Use numpy.float_power() to raise each element in one 2-D array to the power of the corresponding element in another.

How to use the np.float_power() function for 2D array

What is numpy.float_power()?

Syntax

Parameters

Return value

Example

Explanation

What is `numpy.float_power()`?