pandas.DataFrame.iloc¶
Purely integer-location based indexing for selection by position.
.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.
- A
.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).
See more at Selection by Position.
Warning
This feature is currently unsupported by Intel Scalable Dataframe Compiler