pyspark.pandas.DataFrame.iat

property DataFrame.iat

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

Like 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

KeyError

When label does not exist in DataFrame

Examples

>>> df = ps.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

Get value within a series

>>> psser = ps.Series([1, 2, 3], index=[10, 20, 30])
>>> psser
10    1
20    2
30    3
dtype: int64

>>> psser.iat[1]
2

pyspark.pandas.DataFrame.at pyspark.pandas.DataFrame.head