pandas.Series.iat¶

property Series.iat[source]¶

Access a single value for a row/column pair by integer position.

Similar to iloc, in that both provide integer-based lookups. Use iat if you only need to get or set a single value in a DataFrame or Series.

Raises

IndexError: When integer position is out of bounds.

See also

DataFrame.at: Access a single value for a row/column label pair.
DataFrame.loc: Access a group of rows and columns by label(s).
DataFrame.iloc: Access a group of rows and columns by integer position(s).

Examples

>>> df = pd.DataFrame([[0, 2, 3], [0, 4, 1], [10, 20, 30]],
...                   columns=['A', 'B', 'C'])
>>> df
    A   B   C
0   0   2   3
1   0   4   1
2  10  20  30

Get value at specified row/column pair

>>> df.iat[1, 2]
1

Set value at specified row/column pair

>>> df.iat[1, 2] = 10
>>> df.iat[1, 2]
10

Get value within a series

>>> df.loc[0].iat[1]
2

pandas.Series.hasnans

pandas.Series.iloc