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.
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
Set value at specified row/column pair
>>> df.iat[1, 2] = 10 >>> df.iat[1, 2] 10
Get value within a series
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