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Predictive Data Analysis with Python

Transposing of NumPy Array

In this lesson, transposing of NumPy arrays are explained.

We'll cover the following...

Transpose

As the name suggests, we will take the transpose of a given 2-D NumPy array. Just like matrix transpose in linear algebra, we convert the rows of a 2-D NumPy array into columns and convert its columns into rows. The function transpose() or simply T can be used to take the transpose of a 2-D array.

Python 3.5
import numpy as np
# Creating 2-D array
arr = np.arange(0,50,1).reshape(10,5) # Declare a 2-D array
print("The original array")
print(arr)
print("\nThe transposed array")
print(arr.transpose()) # Print the transposed array
#print(arr.T) # This can also be used and same result will be produced

On line 3, a 2-D array is declared using the arange and reshape ...