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.
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import numpy as np# Creating 2-D arrayarr = np.arange(0,50,1).reshape(10,5) # Declare a 2-D arrayprint("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 ...