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From Python to Numpy

Coding Example: How to find if one vector is view of the other?

Explore how to identify if one NumPy vector is a view of another by analyzing array memory layout. Learn to use strides and byte bounds properties to find slicing parameters and validate results with NumPy methods.

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Problem Statement

Given two vectors Z1 and Z2. We would like to know if Z2 is a view of Z1 and if yes, what is this view?

Example

Given below is a running example to give you a better understanding:

Python 3.5
import numpy as np
Z1 = np.arange(10) #store a numpy array in `Z1` of size 10 containing values from 1-10
Z2 = Z1[1:-1:2] #store values of alternating indices of Z1 in Z2
print(Z1)
print(Z2)

Illustration

The below illustration shows what the two vectors Z1 and Z2 would look like:

  
      ╌╌╌┬───┬───┬───┬───┬───┬───┬───┬───┬───┬───┬╌╌
   Z1    │ 0 │ 1 │ 2 │ 3 │ 4 │ 5 │ 6 │ 7 │ 8 │ 9 │
      ╌╌╌┴───┴───┴───┴───┴───┴───┴───┴───┴───┴───┴╌╌
      ╌╌╌╌╌╌╌┬───┬╌╌╌┬───┬╌╌╌┬───┬╌╌╌┬───┬╌╌╌╌╌╌╌╌╌╌
   Z2        │ 1 │   │ 3 │   │ 5 │   │ 7 │
      ╌╌╌╌╌╌╌┴───┴╌╌╌┴───┴╌╌╌┴───┴╌╌╌┴───┴╌╌╌╌╌╌╌╌╌╌

Step 1: Check if view

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