menu
SkyTowner
BETA
search
Search
Login
Math ML
Map of Data Science
 Join our weekly DS/ML newsletter
menu
menu
SkyTowner
search toc more_vert
Robocat
Guest 0reps
Sign up
Log in
account_circleMy Profile homeAbout assignmentML/DS guides history_eduBlog help_centerHelp
layersResources
Python
MySQL
Pandas
NumPy
Matplotlib
Beautiful Soup
PySpark
Machine Learning
categoryFeatures
emailContact us
exit_to_appLog out
Join our Discord
Thanks for the thanks!
close
history_edu
Blog
 help
Help
Outline
Related
chevron_left Data Aggregation Cookbook
Applying a function to multiple columns in groupsCalculating percentiles of a DataFrameCalculating the percentage of each value in each groupComputing descriptive statistics of each groupDifference between a group's count and sizeDifference between methods apply and transform for groupbyGetting cumulative sum of each groupGetting descriptive statistics of DataFrameGetting multiple aggregates of a column after groupingGetting n rows with smallest column value in each groupGetting number of distinct rows in each groupGetting size of each groupGetting specific group after groupbyGetting the first row of each groupGetting the last row of each groupGetting the top n rows with largest column value in each groupGetting unique values of each groupGrouping by multiple columnsGrouping without turning group column into indexMerging rows within a group togetherNaming columns after aggregationSorting values within groups
Comments
Log in or sign up
Cancel
Post
account_circle
Profile
exit_to_app
Sign out
help Ask a question
Share on Twitter
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
icon_star
Doc Search
icon_star
Code Search Beta
SORRY NOTHING FOUND!
mic
Start speaking...
Voice search is only supported in Safari and Chrome.
fullscreen_exit
Shrink
north_east
Navigate to
A
A
brightness_medium
share
arrow_backShare
chevron_left Data Aggregation Cookbook
Applying a function to multiple columns in groupsCalculating percentiles of a DataFrameCalculating the percentage of each value in each groupComputing descriptive statistics of each groupDifference between a group's count and sizeDifference between methods apply and transform for groupbyGetting cumulative sum of each groupGetting descriptive statistics of DataFrameGetting multiple aggregates of a column after groupingGetting n rows with smallest column value in each groupGetting number of distinct rows in each groupGetting size of each groupGetting specific group after groupbyGetting the first row of each groupGetting the last row of each groupGetting the top n rows with largest column value in each groupGetting unique values of each groupGrouping by multiple columnsGrouping without turning group column into indexMerging rows within a group togetherNaming columns after aggregationSorting values within groups
check_circle
Mark as learned
thumb_up
0
thumb_down
0
chat_bubble_outline
0
auto_stories new
settings

Getting unique values of each group in Pandas

Pandas
chevron_right
Cookbooks
chevron_right
DataFrame Cookbooks
chevron_right
Data Aggregation Cookbook
schedule Jul 1, 2022
Last updated
local_offer Python●Pandas
Tags
tocTable of Contents
expand_more

Consider the following DataFrame:

df = pd.DataFrame({"A":["a","b","a","b"],"B":[3,4,3,5]})
df
A B
0 a 3
1 b 4
2 a 3
3 b 5

To get the number of unique values in each group:

df.groupby("A").nunique()   # returns a DataFrame
B
A
a 1
b 2

Related

Pandas DataFrame | groupby method
Divides up your DataFrame into groups based on the specified criteria.
chevron_right
mail
Join our newsletter for updates on new DS/ML comprehensive guides (spam-free)
robocat
Published by Isshin Inada
Edited by 0 others
Did you find this page useful?
thumb_up
thumb_down
Comment
Citation
Share on Twitter
Share on Facebook
thumb_up
0
thumb_down
0
chat_bubble_outline
0
settings
Enjoy our search
Hit / to insta-search docs and recipes!
Navigation
Home Blog Publish Help
Contact us
Resources
Python Pandas MySQL Beautiful Soup Matplotlib NumPy PySpark Machine Learning
Community
Join our Discord
 mail
Join our newsletter for updates on new comprehensive DS/ML guides
Terms
|
Privacy