Pandas
keyboard_arrow_down 655 guides
chevron_leftData Indexing and Masks
check_circle
Mark as learned thumb_up
0
thumb_down
0
chat_bubble_outline
0
Comment auto_stories Bi-column layout
settings
Pandas DataFrame | iat property
schedule Aug 12, 2023
Last updated local_offer
Tags Python●Pandas
tocTable of Contents
expand_more Master the mathematics behind data science with 100+ top-tier guides
Start your free 7-days trial now!
Start your free 7-days trial now!
Panda's DataFrame.iat property is used to access or update a single value in the DataFrame using integer syntax.
Examples
Consider the following DataFrame:
df = pd.DataFrame({"A":[3,4], "B":[5,6]}, index=["a","b"])df
A Ba 3 5b 4 6
Accessing a value
To access the value residing at row 0, column 1:
df.iat[0,1]
5
Setting a value
To set the value at row 0, column 1:
df.iat[0,1] = 9df
A Ba 3 9b 4 6
Related
Pandas DataFrame | at property
Access or update a single value in the DataFrame using row/column labels.
Pandas DataFrame | loc property
Access or update values of the DataFrame using row and column labels.
Pandas DataFrame | iloc property
Access and update specific rows/columns of the DataFrame using integer indices.
Published by Isshin Inada
Edited by 0 others
Did you find this page useful?
thumb_up
thumb_down
Comment
Citation
Ask a question or leave a feedback...
Official Pandas Documentation
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.iat.html
thumb_up
0
thumb_down
0
chat_bubble_outline
0
settings
Enjoy our search
Hit / to insta-search docs and recipes!
