# pandas.Series.iat

`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

  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

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