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Pandas Series: loc() function

Access a group of rows and columns in Pandas

The loc() function is used to access a group of rows and columns by label(s) or a boolean array.

.loc[] is primarily label based, but may also be used with a boolean array.

Allowed inputs are:

  • A single label, e.g. 5 or 'a', (note that 5 is interpreted as a label of the index, and never as an integer position along the index).
  • A list or array of labels, e.g. ['a', 'b', 'c'].
  • A slice object with labels, e.g. 'a':'f'.
  • A boolean array of the same length as the axis being sliced, e.g. [True, False, True].
  • A callable function with one argument (the calling Series or DataFrame) and that returns valid output for indexing (one of the above)

Syntax:

Series.loc
Pandas Series loc() function

Raises: KeyError
when any items are not found

Example:


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