pandas.DataFrame.at — pandas 3.0.0.dev0+2097.gcdc5b7418e documentation (original) (raw)
property DataFrame.at[source]#
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
If getting a value and ‘label’ does not exist in a DataFrame or Series.
ValueError
If row/column label pair is not a tuple or if any label from the pair is not a scalar for DataFrame. If label is list-like (excluding NamedTuple) for Series.
See also
Access a single value for a row/column pair by label.
Access a single value for a row/column pair by integer position.
Access a group of rows and columns by label(s).
Access a group of rows and columns by integer position(s).
Access a single value by label.
Access a single value by integer position.
Access a group of rows by label(s).
Access a group of rows by integer position(s).
Notes
See Fast scalar value getting and settingfor more details.
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"] np.int64(2)
Set value at specified row/column pair
df.at[4, "B"] = 10 df.at[4, "B"] np.int64(10)
Get value within a Series
df.loc[5].at["B"] np.int64(4)