#       
## Overview
**`numpy.c`** is an indexing routine in NumPy that translates slice objects to concatenation along the second axis.
## Syntax
```
np.c_[arrays]
```
## Parameter value
`numpy.c_` is not a function. Hence, it doesn't take any parameter value.

## Return value 
`numpy.c_` returns a concatenated array.
## Code example

import numpy as np
# creating arrays
myarray1 = np.array([1, 2, 3])
myarray2 = np.array([4, 5, 6])

# using the numpy.c_ 
myarray = np.c_[myarray1, myarray2]
print(myarray)

## Code explanation
* **Line 1:** We import the `numpy` module.
* **Line 3-4:** We create 1-D arrays `myarray1` and `myarray2` using the `array()` function.
* **Line 7:** We use the `numpy.c_` indexing routine to concatenate the two arrays. The result is assigned to a variable `myarray`.
* **Line 8:** We print the array `myarray`.

What is numpy.c_ in Numpy from Python?

Numpy.c_ concatenates arrays along the second axis in NumPy, returning a concatenated array.