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 | itemset method

schedule Aug 11, 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 `itemset(~)` sets a specific value in the source array. This is done in-place, that is, no new Numpy array is created.

# Parameters

1. `args`

The allowed values are as follows:

First argument

Second argument

Description

Value to be set

Array must be of size one

Index (int)

Value to be set

Used for 1D arrays

Index (tuple of int)

Value to be set

Used for multi-dimensional arrays

# Return value

`None` - the setting is done in-place.

# Examples

``` a = np.array([5,6,7,8])a.itemset(0, 9)a array([9, 6, 7, 8]) ```

## 2D arrays

Consider the following 2D array:

``` a = np.array([[5,6],[7,8]])a array([[5, 6], [7, 8]]) ```

To set a value as a flattened array, provide an `int` as the first argument like so:

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

To set a value in the 2nd row 1st column:

``` a = np.array([[5,6],[7,8]])a.itemset((1,0), 9)a array([[5, 6], [9, 8]]) ```
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!