#   
#  Overview
The **`msort()`** function in Python is simply used to return a copy of an array sorted along the first axis.

#  
## Syntax
```
numpy.msort(a)
```
## Parameter value
The `msort()` function takes a single and mandatory parameter value `a`, which represents the input array to be sorted.
## Return array
The `msort()` function returns an array of the same type and shape as the input array `a` passed to it.

Let's see how to use to it through the following code example.
## 
## Example


import numpy as np
# creating lists of numbers
myarray = np.array([[3, 5, 2, 4, 1], [9, 6, 10, 8, 7]])


# implementing the lexsort() function to sort mylist1 first
sortedarray = np.msort(myarray)

print(sortedarray)

## Code explanation 
* Line 1: We import the `numpy` module.
* Line 3: We create a  `2D` array using the `array()` function
* Line 7: We implement the `msort()` function on the array `myarray`. The result is assigned to a variable `sortedarray`.
* Line 9: We print the newly sorted array variable, `sortedarray`.

What is the numpy.msort() function from NumPy in Python?

The msort() function in NumPy sorts a copy of a given array along its first axis.