NumPy Basic Indexing & Reshaping Practice - Learn NumPy Series

This video is apart of a full NumPy Course - Start here:

In this one we'll get some more practice reshaping and indexing arrays.

#Python #NumPy #Tutorial

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Full code from the video:
import numpy as np

print(array_b)

array_c = array_a.T
print(array_c.T)

print(array_c[0], array_c[1])

print(array_a[-1,-1])

Packages (& Versions) used in this video:
Python 3.7
NumPy 1.17

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[leonquadros]

I'm glad I found a gem of a channel.

[abdremo]

to return two rows you could use a range, for example: array_a[range(2)]

[shiili]

ans:
1. print(array[:, -3])
2. print(array[2, 1])