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¶
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).