Pandas Dataframe .iloc[] with examples in Python 3

Pandas Python 3 iloc LearningByDoing.io

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There are several ways of selecting data from a Pandas DataFrame and iloc is one of them. In Pandas, iloc for DataFrame is integer-location based indexing for selection by position.

According to the documentation:

.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, DataFrame or Panel) 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.

Following is the code with comments, description and results of the commands to be run in Python 3 :


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