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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