search
Search
Unlock 100+ guides
search toc
close
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 | msort method

schedule Aug 12, 2023
Last updated
local_offer
PythonNumPy
Tags
expand_more
mode_heat
Master the mathematics behind data science with 100+ top-tier guides
Start your free 7-days trial now!

Numpy's `msort(~)` method returns a new copy of the input array that is sorted along the first axis. Note that this method is equivalent to `np.sort(array,axis=0)`.

# Parameters

1. `a` | `array_like`

The input array.

# Return value

A Numpy array that is a copy of the input array sorted along the first axis.

WARNING

The `msort(~)` method lacks flexibility

The `msort(~)` method can only sort along the first axis, which means that for 2D arrays, sorting can only be done column-wise. If you require a more flexible method, then go for `np.sort(~)` - click here for its documentation.

# Examples

## Sorting an one-dimensional array

``` x = np.array([5,7,2,4])np.msort(x) array([2, 4, 5, 7]) ```

## Sorting a two-dimensional array

As mentioned above, the `msort(~)` method can only sort elements along the first axis. This means that for 2D arrays, we can only sort column-wise.

Suppose we have the following:

``` x = np.array([[1,4],[3,2]])x array([[1, 4], [3, 2]]) ```

To perform column-wise sort:

``` np.msort(x) array([[1, 2], [3, 4]]) ```

If you need to sort row-wise, use `np.sort(x, axis=1)` instead.

Edited by 0 others
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!