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Data Indexing and Masks
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Pandas DataFrame | at property
Pandas
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schedule Jul 1, 2022
Last updated local_offer Python●Pandas
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Panda's DataFrame.at
property is used to access or update a single value in the DataFrame using row/column labels.
The syntax is as follows:
DataFrame.at["row_name", "column_name"]
Examples
Consider the following DataFrame:
df
A Ba 1 3b 2 4
Accessing a value
To access the value at row a
column B
:
df.at["a","B"]
3
Setting a value
To set a new value for row a
column B
:
df.at["a","B"] = 5df
A Ba 1 5b 2 4
Related
Pandas DataFrame | iat property
Access or update a single value in the DataFrame using integer syntax.
Pandas DataFrame | iloc property
Access and update specific rows/columns of the DataFrame using integer indices.
Pandas DataFrame | loc property
Access and update values of the DataFrame using row and column labels.
Published by Isshin Inada
Edited by 0 others
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Official Pandas Documentation
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.at.html
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