Sign Up

Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.

Have an account? Sign In

Have an account? Sign In Now

Sign In

Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.

Sign Up Here

Forgot Password?

Don't have account, Sign Up Here

Forgot Password

Lost your password? Please enter your email address. You will receive a link and will create a new password via email.

Have an account? Sign In Now

You must login to ask a question.

Forgot Password?

Need An Account, Sign Up Here

Please briefly explain why you feel this question should be reported.

Please briefly explain why you feel this answer should be reported.

Please briefly explain why you feel this user should be reported.

Sign InSign Up

The Archive Base

The Archive Base Logo The Archive Base Logo

The Archive Base Navigation

  • SEARCH
  • Home
  • About Us
  • Blog
  • Contact Us
Search
Ask A Question

Mobile menu

Close
Ask a Question
  • Home
  • Add group
  • Groups page
  • Feed
  • User Profile
  • Communities
  • Questions
    • New Questions
    • Trending Questions
    • Must read Questions
    • Hot Questions
  • Polls
  • Tags
  • Badges
  • Buy Points
  • Users
  • Help
  • Buy Theme
  • SEARCH
Home/ Questions/Q 6754835
In Process

The Archive Base Latest Questions

Editorial Team
  • 0
Editorial Team
Asked: May 26, 20262026-05-26T13:19:43+00:00 2026-05-26T13:19:43+00:00

I have an array produced by numpy which looks as follows: [ 54.51399994 -12.10200024

  • 0

I have an array produced by numpy which looks as follows:

[ 54.51399994 -12.10200024 -11.88099957]
[ 56.23899841 -8.30799961
-2.03500009]

How do i convert this to a list? So it looks as follows:

[‘54.51399994′,’-12.10200024′,’-11.88099957′]
[‘56.23899841′,’-8.30799961′,’-2.03500009′]

  • 1 1 Answer
  • 0 Views
  • 0 Followers
  • 0
Share
  • Facebook
  • Report

Leave an answer
Cancel reply

You must login to add an answer.

Forgot Password?

Need An Account, Sign Up Here

1 Answer

  • Voted
  • Oldest
  • Recent
  • Random
  1. Editorial Team
    Editorial Team
    2026-05-26T13:19:43+00:00Added an answer on May 26, 2026 at 1:19 pm

    You could use astype() to create a new array of string dtype:

    import numpy as np
    arr=np.array([
        ( 54.51399994, -12.10200024, -11.88099957),
        ( 56.23899841, -8.30799961, -2.03500009)])
    print(arr.astype('|S10'))
    

    yields

    [['54.51399994', '-12.10200024', '-11.88099957'], ['56.23899841', '-8.30799961', '-2.03500009']]
    
    • 0
    • Reply
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
      • Report

Sidebar

Related Questions

I have produced 3 sets of data which are organised in numpy arrays. I'm
I have an array (produced by uploading multiple files) that returns this: Array (
I have array like this: $path = array ( [0] => site\projects\terrace_and_balcony\mexico.jpg [1] =>
I have a project that needs to produced an array list of hexadecimal colour
I have a multidimensional array in PHP produced by the great examples of icio
I have the below code which checks my dynamically produced offhire boxes to see
I have a .NET string which is Base64 encoded representation of an array of
I have EuroCPCrap mapped as (j,0)(i,0) and want to put this into an array
i have wrote a script to produce an array of data but now want
I have array of select tag. <select id='uniqueID' name=status> <option value=1>Present</option> <option value=2>Absent</option> </select>

Explore

  • Home
  • Add group
  • Groups page
  • Communities
  • Questions
    • New Questions
    • Trending Questions
    • Must read Questions
    • Hot Questions
  • Polls
  • Tags
  • Badges
  • Users
  • Help
  • SEARCH

Footer

© 2021 The Archive Base. All Rights Reserved
With Love by The Archive Base

Insert/edit link

Enter the destination URL

Or link to existing content

    No search term specified. Showing recent items. Search or use up and down arrow keys to select an item.