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pandas.DataFrame.at — pandas 0.25.3 documentation
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pandas.DataFrame.at¶
-
DataFrame.at¶ Access a single value for a row/column label pair.
Similar to
loc, in that both provide label-based lookups. Useatif you only need to get or set a single value in a DataFrame or Series.Raises: - KeyError
When label does not exist in DataFrame
See also
DataFrame.iat- Access a single value for a row/column pair by integer position.
DataFrame.loc- Access a group of rows and columns by label(s).
Series.at- Access a single value using a label.
Examples
>>> df = pd.DataFrame([[0, 2, 3], [0, 4, 1], [10, 20, 30]], ... index=[4, 5, 6], columns=['A', 'B', 'C']) >>> df A B C 4 0 2 3 5 0 4 1 6 10 20 30
Get value at specified row/column pair
>>> df.at[4, 'B'] 2
Set value at specified row/column pair
>>> df.at[4, 'B'] = 10 >>> df.at[4, 'B'] 10
Get value within a Series
>>> df.loc[5].at['B'] 4