# What is Numpy Row Stacking?

Numpy `row_stack()` function is used to stack 1-Dimensional array row-wise. And 2-Dimensional array is stacked similar to vertical stacking(`vstack()`).

## Syntax for Numpy row_stack()

`np.row_stack(tup)`

You pass Numpy arrays in the form of list or tuple to `row_stack()` function.

## Python program to row stack 1-Dimensional Numpy Array

```import numpy as np

x = np.array([1, 2, 3, 4])
y = np.array([5, 6, 7, 8])
print('First array x:\n', x)
print('Second array y:\n', y)
print('Row stacked array:\n', np.row_stack((x,y)))```

Output of the above program

```First array x:
[1 2 3 4]
Second array y:
[5 6 7 8]
Row stacked array:
[[1 2 3 4]
[5 6 7 8]]```

## Python program to row stack 2-Dimensional Numpy Array

```import numpy as np

x = np.array([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]])
y = np.array([[11, 12, 13, 14, 15], [16, 17, 18, 19, 20]])
print('First array x:\n', x)
print('Second array y:\n', y)
print('Row stacked array:\n', np.row_stack((x,y)))```

Output of the above program

```First array x:
[[ 1  2  3  4  5]
[ 6  7  8  9 10]]
Second array y:
[[11 12 13 14 15]
[16 17 18 19 20]]
Row stacked array:
[[ 1  2  3  4  5]
[ 6  7  8  9 10]
[11 12 13 14 15]
[16 17 18 19 20]]```