Advanced Indexing Techniques on NumPy Arrays - Learn NumPy Series

This video is apart of a full Learn NumPy Series-

In this one we'll look at how we can begin using advanced indexing methods on our NumPy Arrays

#Python #NumPy #Tutorial

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Full code from the video:
import numpy as np

row_1 = [1,2,3,4,5]
row_2 = [6,7,8,9,10]
row_3 = [11,12,13,14,15]
row_4 = [16,17,18,19,20]
row_5 = [21,22,23,24,25]

print(test_data)

# Using Python Slices
print(test_data[:,2:4:1])
# Same Elements but reversed
print(test_data[:,-2:-4:-1])

#boolean index
greater_than_five = test_data != 5
# returns one dimensional array
print(greater_than_five)
# single line operation
print(test_data[greater_than_five])
print(test_data[test_data!=5])

# But what if we wanted to retain shape?
print(drop_under_5_array)

# Using Multiple Logic Conditions
# YouTube Description doesn't allow angled brackets :(
print(drop_under_5_and_over_20)
print(test_data[drop_under_5_and_over_20])

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

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[LucasDimoveo]

This tutorial just solved my problem. Thank you!

[Caelghoul]

Is their any way to speed up mask, slicing is very fast with small and big data but mask slow with big data

[sourabhyeshal]

which software you use for in this video

[jeremydeceuster]

Is it possible to keep the shape of multiple logic conditions instead of getting a one dimensional array?

[elliottandreasen]

Thanks man, nice video. Now I fully understand numpy:)
One question tho. There’s not that much to learn about numpy, are there?

[sourabhyeshal]

which editor software
use in this video

[gracioushouse]

can i get some more help with indexing and slicing please

[janudhivyaradhakrishnan]

Hi can anyone help me to solve this
write a code to identify indexes where a shift happens and fetch corresponding value from another array


array1=(0, 0, 0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 2, 2, 2, 3, 3, 3, 3, 3, 1, 1, 1)
array2=(a, b, c.d.e.f, g, h, i, j, k, l, m, n, o, p, q, r, s, t, u, v, w, x, y, z)

the final output should be two arrays, one should contain elements fetched from array2 and the other should contain numbers of the shifts

final: ['d', 'i', 'm', 'p', 's', 'x']
Indexes: [3, 8, 12, 15, 18, 23]