assign operator(=) in python

Question

I am trying to assign a assign values to the something-array using the assign operator(=) in for loop.

Below is the one with something-array initially having numbers going from 0 to 15 in its elements: [something array with its elements as numbers going from 0 to 15] (https://i.sstatic.net/a9cOg.jpg)

Below is the one with something-array initially having all its elements as zero: something array with all its elements as zeros

Why do we have different results?

I see that having different values previously as the elements of the "something-array" gives us different result from the ones that started from having zeros as its all elements previously.

I wanna know what is happening here and especially in the first case I wanna know how the calculations are done?

Please do not upload images of code/data/errors.

Amadan
– Amadan

2022-11-24 06:12:34 +00:00
Commented Nov 24, 2022 at 6:12 — Amadan
– Amadan, Commented Nov 24, 2022 at 6:12

Prachi Patel · Accepted Answer · 2022-11-24 13:28:13Z

1

In numpy, zeros() method initialize the array with 0 in float whereas when you use arange() it puts the value in int datatype.

something = np.zeros(2)
for i in something:
    print(type(i))

print()

something = np.arange(2)
for i in something:
    print(type(i))

Output:

As you see I have printed the types of elements in the lists in both the cases, so when any other operation is performed on them it is performed according to the datatypes so the result can differ in both the cases.

I hope this explains the confusion.

answered Nov 24, 2022 at 13:28

Prachi Patel

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