search
Search
Login
Unlock 100+ guides
menu
menu
search toc
close
Comments
Log in or sign up
Cancel
Post
account_circle
Profile
exit_to_app
Sign out
What does this mean?
Why is this true?
Give me some examples!
search
keyboard_voice
close
Searching Tips
Search for a recipe:
"Creating a table in MySQL"
Search for an API documentation: "@append"
Search for code: "!dataframe"
Apply a tag filter: "#python"
Useful Shortcuts
/ to open search panel
Esc to close search panel
to navigate between search results
d to clear all current filters
Enter to expand content preview
Doc Search
Code Search Beta
SORRY NOTHING FOUND!
mic
Start speaking...
Voice search is only supported in Safari and Chrome.
Shrink
Navigate to

NumPy | hsplit method

schedule Aug 10, 2023
Last updated
local_offer
PythonNumPy
Tags
tocTable of Contents
expand_more
mode_heat
Master the mathematics behind data science with 100+ top-tier guides
Start your free 7-days trial now!

NumPy's `hsplit(~)` method horizontally splits the input array. A nice way of thinking about this for 2D arrays is is to imagine chopping the array vertically.

NOTE

The method `hsplit(~)` is just shorthand for `split(~, axis=1)`. For more flexibility, you may want to use the `split(~)` method instead.

Parameters

1. `a` | `array-like`

The input array that you want to split.

2. `split` | `array-like`

The number of splits to make.

Return value

A list containing the split up NumPy arrays.

Examples

Consider the following 2D array:

``` a = np.array([[1,2,3],[4,5,6],[7,8,9]])a array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) ```

To split `a` into individual columns:

``` np.hsplit(a, 3) [array([[1],[4],[7]]), array([[2],[5],[8]]), array([[3],[6],[9]])] ```
Published by Isshin Inada
Edited by 0 others
Did you find this page useful?
thumb_up
thumb_down
Comment
Citation
Ask a question or leave a feedback...
thumb_up
0
thumb_down
0
chat_bubble_outline
0
settings
Enjoy our search
Hit / to insta-search docs and recipes!
Navigation
Home Blog
Contact us