To concatenate arrays in Python, you can use the `numpy`

library. NumPy provides a function called `concatenate()`

that allows you to concatenate arrays along a specified axis. Here’s an example of how you can do it:

```
import numpy as np
# Create two arrays
array1 = np.array([1, 2, 3])
array2 = np.array([4, 5, 6])
# Concatenate the arrays
concatenated_array = np.concatenate((array1, array2))
# Print the concatenated array
print(concatenated_array)
```

In the code above, we first import the `numpy`

library as `np`

. Then, we create two arrays, `array1`

and `array2`

, using the `np.array()`

function.

To concatenate the arrays, we use the `np.concatenate()`

function and pass it the arrays we want to concatenate as a tuple `(array1, array2)`

. The `np.concatenate()`

function returns the concatenated array.

Finally, we print the concatenated array using the `print()`

function.

The result will be `[1 2 3 4 5 6]`

, which is the concatenation of `array1`

and `array2`

into a single array.

## + There are no comments

Add yours