# numpy.stack() in Python with example.

In this tutorial, we are going to learn how to use numpy.stack() method in Python with simple programs.

Firstly, this method is mainly used for combining a sequence of equal dimension arrays along with a new axis.

## numpy.stack() in Python

Numpy stands for Numerical Python.
By using numpy.stack() method we can join the sequence of the equal size arrays based on the axis value(index value for simple understanding).

#### syntax:

numpy.stack(array,axis)

array: it is a sequence of array of the same size.

axis: The axis in the consequent array along which the input arrays are sequenced/stacked.

• the axis defines the index of the new axis in the result.
• axis=0 indicates the starting dimension.
• axis=-1 indicates the last dimension.

#### Example code 1:

```import numpy as cp
x=cp.array([[1,3],[5,7]])
print'First array list:'
print x
print'\n'
y=cp.array([[2,4][6,8]])
print'Second array list:'
print y
print'\n'
print'joining the two arrays along axis 0:'
print cp.stack((x,y),0)
print'\n'

print 'joining the two arrays along axis 1:'
print cp.stack((x,y),1)```
```First array list:
[[1 3]
[5 7]]
Second array list:
[[2 4]
[6 8]]
joining the two arrays along axis 0:
[[[1 3]
[5 7]]
[[2 4]
[6 8]]]
joining the two arrays along axis 1:
[[[1 3]
[2 4]]
[[5 7]
[6 8]]]

```

we will see another code as an example so, It makes you understand In brief.

#### Example 2:

```# Example programme for numpy.stack() in python
import numpy as cp
array1=cp.array([0,1,2])
print("First array is:\n",array1)
array2=cp.array([3,4,5])
print("Second array is:\n",array2)
#joining the two arrays along axis 0
result1=cp.stack((array1,array2),axis=0)
print("resultant array along axis 0:\n",result1)
#joining the two arrays along axis 1
result2=cp.stack((array1,array2),axis=1)
print("resultant array along axis 1:",result2)```
```First array is:
[0 1 2]
Second array is:
[3 4 5]
resultant array along axis 0:
[[0 1 2]
[3 4 5]]
resultant array along axis 1:
[[0 3]
[1 4]
[2 5]]```

also, read rfind method in python