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Pandas DataFrame | at property

Pandas
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DataFrame
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Data Indexing and Masks
schedule Jul 1, 2022
Last updated
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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 = pd.DataFrame({"A":[1,2], "B":[3,4]}, index=["a","b"])
df
   A  B
a  1  3
b  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"] = 5
df
   A  B
a  1  5
b  2  4
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Published by Isshin Inada
Edited by 0 others
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