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chevron_leftData Indexing and Masks

Method all Method any Method isin Method isna Method isnull Method mask Method notna Method where Property at Property iat Property iloc Property loc

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Pandas DataFrame | at property

schedule Aug 12, 2023

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Examples Accessing a value Setting a value

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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

Related

Pandas DataFrame | iat property

Access or update a single value in the DataFrame using integer syntax.

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Pandas DataFrame | iloc property

Access and update specific rows/columns of the DataFrame using integer indices.

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Pandas DataFrame | loc property

Access and update values of the DataFrame using row and column labels.

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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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