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.

 

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.

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