search
Search
Map of Data Science
Guest 0reps
exit_to_appLog out
Map of data science
Thanks for the thanks!
close
Outline
chevron_left Subplots Cookbook
Cancel
Post
account_circle
Profile
exit_to_app
Sign out
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
A
A
brightness_medium
share
arrow_backShare
chevron_left Subplots Cookbook
check_circle
Mark as learned
thumb_up
0
thumb_down
0
chat_bubble_outline
1
auto_stories new
settings

# Creating subplots in Matplotlib

Matplotlib
chevron_right
Cookbooks
chevron_right
Subplots Cookbook
schedule Jul 1, 2022
Last updated
local_offer PythonMatplotlib
Tags
expand_more
map
Check out the interactive map of data science

We can create subplots in Matplotlib by calling `plt.subplots(~)`.

# Example

To create a figure object with 3 rows of subplots and 2 columns:

``` import matplotlib.pyplot as pltfig, ax = plt.subplots(3, 2)fig.subplots_adjust(hspace=0.5, wspace=0.3) # Adjust the spacing between subplotsplt.show() ```

This produces the following output:

The resulting figure is composed of an array of axes objects. To add data we need to index into one of the axes objects:

``` fig, ax = plt.subplots(3, 2)fig.subplots_adjust(hspace=0.5, wspace=0.3) # Adjust the spacing between subplots# Add data to the top-left subplotax[0, 0].plot([1,2,3], [1,2,3])plt.show() ```

We can see that data is plotted onto the top-left subplot:

Edited by 0 others
thumb_up
thumb_down
Ask a question or leave a feedback...
thumb_up
0
thumb_down
0
chat_bubble_outline
1
settings
Enjoy our search
Hit / to insta-search docs and recipes!