pandas.DataFrame.at — pandas 0.25.3 documentation (original) (raw)

DataFrame. at

Access a single value for a row/column label pair.

Similar to loc, in that both provide label-based lookups. Useat if 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

Set value at specified row/column pair

df.at[4, 'B'] = 10 df.at[4, 'B'] 10

Get value within a Series