Difference between these numpy where functions.

Question

1.00/5 (1 vote)

See more:

<pre lang="Python">


xarr = np.array([1,2,3,4,5.5,6.6,7.7,8.8])

yarr = np.array([1.1,2.2,3.3,4.4,5,6,7,8])

cond = np.array([False,False,False,False,True,True,True,True])

result = np.where(cond,xarr,yarr)

and 


result = np.where(xarr,yarr,cond)

What I have tried:

I am getting different output.

Posted 15-Sep-21 17:54pm

Satyam Shankar

Updated 16-Sep-21 1:19am

v2

Add a Solution

Comments

Richard MacCutchan 16-Sep-21 3:55am

That is because you have two different statements. But if you want a detailed answer then you need to provide considerably more detail about what your code is doing, what are its inputs, and what are its outputs. Just posting two random lines of code with no context is no help to anyone here.

Richard MacCutchan 16-Sep-21 7:22am

You were given the link to the documentation page earlier today. Have you actually looked at it? It clearly states that the first parameter to the where function is the condition clause. So if you change the order of the parameters you will get different results.

1 solution

Add a Solution

Add your solution here

Treat my content as plain text, not as HTML

Preview 0

…

Existing Members

Sign in to your account

...or Join us

Download, Vote, Comment, Publish.

Your Email
Password
Forgot your password?

Your Email
This email is in use. Do you need your password?
Optional Password

I have read and agree to the Terms of Service and Privacy Policy
Please subscribe me to the CodeProject newsletters

When answering a question please:

Read the question carefully.
Understand that English isn't everyone's first language so be lenient of bad spelling and grammar.
If a question is poorly phrased then either ask for clarification, ignore it, or edit the question and fix the problem. Insults are not welcome.
Don't tell someone to read the manual. Chances are they have and don't get it. Provide an answer or move on to the next question.

Let's work to help developers, not make them feel stupid.

This content, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Richard Deeming · Answer 1 · 2021-09-15T21:59:00

Solution 1

numpy.where — NumPy v1.21 Manual[^]

Posted 15-Sep-21 21:59pm

Richard Deeming