Concatenation in Numpy

print("Welcome to world of Numpy 💛")

Have you thought about how to concatenate Numpy’s arrays? Or you haven’t got any clue! Don’t worry I am here to help you with it 😃.

Concatenation

Before we dive into how to concatenate Arrays using numpy, lets review how we do it normally.

Initially we created two arrays, and assigned them integer values.

First way of concatenation

Second way of concatenation

Then we created a new array and assign those arrays to it.

Concatenated list

That’s how the concatenated list looks as an output.

Let’s see how can we concatenate using Numpy Library!

Numpy array’s

At the beginning we imported Numpy library, and then created two arrays .

concatenate function

Then we concatenate both array’s using method provided by numpy library “concatenate” and passed the array’s name as Arguments.

output

Finally arrays are concatenated. But Wait ! Isn’t it too easy?

Indeed it is!

Let’s try doing one more time.

concat function

Here we created two dimensional numpy arrays and then called function concatenate. Wait till you see the output 😃.

output

Did you see the magic?

Let me elaborate …

Numpy’s concat function, concatenated two array’s such that array passed as first argument to the function lies on the top of array passed as second array!

That’s how easy it was to concatenate arrays using Numpy.

print("Don't forget to explore it at your own! Good Luck 😉")