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Pandas Tutorial

Pandas Series: iloc() function

Access a group of rows and columns in Pandas

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

.iloc[] is primarily integer position based (from 0 to length-1 of the axis), but may also be used with a boolean array.

Allowed inputs are:

  • An integer, e.g. 5.
  • A list or array of integers, e.g. [4, 3, 0].
  • A slice object with ints, e.g. 1:7.
  • A boolean array.
  • A callable function with one argument (the calling Series or DataFrame) and that returns valid output for indexing (one of the above). This is useful in method chains, when you don’t have a reference to the calling object, but would like to base your selection on some value.

.iloc will raise IndexError if a requested indexer is out-of-bounds, except slice indexers which allow out-of-bounds indexing (this conforms with python/numpy slice semantics).

Syntax:

Series.iloc
Pandas Series iloc() function
pandas-series-iloc-image-1

Example:


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