search
Search
Publish
menu
menu search toc more_vert
Robocat
Guest 0reps
Thanks for the thanks!
close
Outline
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.
Navigate to
A
A
share
thumb_up_alt
bookmark
arrow_backShare
Twitter
Facebook
thumb_up
0
thumb_down
0
chat_bubble_outline
0
auto_stories new
settings

Pandas DataFrame | keys method

Programming
chevron_right
Python
chevron_right
Pandas
chevron_right
Documentation
chevron_right
DataFrame
chevron_right
Iterators
schedule Mar 10, 2022
Last updated
local_offer PythonPandas
Tags
tocTable of Contents
expand_more

Pandas DataFrame.keys() method returns the columns of the DataFrame as an Index object.

Examples

Consider the following DataFrame:

df = pd.DataFrame({"A":[3,4], "B":[5,6]})
df
A B
0 3 5
1 4 6

To get the columns of df:

df.keys()
Index(['A', 'B'], dtype='object')

The returned value is of type Index, and so you can access the actual column labels using [] syntax like so:

df.keys()[0]
'A'
robocat
Published by Isshin Inada
Edited by 0 others
Did you find this page useful?
thumb_up
thumb_down
Ask a question or leave a feedback...
thumb_up
0
thumb_down
0
chat_bubble_outline
0
settings
A modern learning experience for data science and analytics