# pandas.DataFrame.at

`DataFrame.``at`

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

  Similar to `loc`, in that both provide label-based lookups. Use `at` 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

  See also

  `DataFrame.iat`
    Access a single value for a row/column pair by integer position.
  `DataFrame.loc`
    Access a group of rows and columns by label(s).
  `Series.at`
    Access a single value using a label.

  Examples

      >>> df = pd.DataFrame([[0, 2, 3], [0, 4, 1], [10, 20, 30]],
      ...                   index=[4, 5, 6], columns=['A', 'B', 'C'])
      >>> df
          A   B   C
      4   0   2   3
      5   0   4   1
      6  10  20  30

  Get value at specified row/column pair

      >>> df.at[4, 'B']
      2

  Set value at specified row/column pair

      >>> df.at[4, 'B'] = 10
      >>> df.at[4, 'B']
      10

  Get value within a Series

      >>> df.loc[5].at['B']
      4

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