Transpose of Array| Numpy tutorial | Data Science | Codin India

In the last post, we learned about reshaping the Numpy array. In this post, we will learn about the transpose of nd-array.

Another very interesting reshaping method of Numpy is the Transpose() method.

What do you mean by Transpose of Arrays?

Transpose is an very important topic when we talk about matrices and arrays. In linear algebra, the transpose of a matrix is an operator which flips a matrix over its diagonal. i.e. 

It takes the input Array and swaps the rows and columns value and vica-versa.

After transpose rows becomes columns and columns becomes rows. Let us understand by code:-

Output:-

It will convert rows into columns and columns to rows.

if you want to learn python then this tutorial will help you alot:- Python tutorial for beginners in hindi

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