pandas.Series.iat

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

Examples

Get value at specified index position.

import numpy as np
import pandas as pd
from numba import njit

from numba import njit


@njit
def series_iat():
    series = pd.Series([5, 4, 3, 2, 1], index=[0, 2, 4, 6, 8])

    return series.iat[4]  # Expect value: 1


print(series_iat())

$ python ./series/series_iat.py
1

See also

DataFrame.at

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

DataFrame.loc

Purely label-location based indexer for selection by label.

DataFrame.iloc

Access group of rows and columns by integer position(s).