# pandas.IntervalIndex.get_loc

`IntervalIndex.``get_loc`(key: Any, method: Optional[str] = None) → Union[int, slice, numpy.ndarray]

  Get integer location, slice or boolean mask for requested label.

  Parameters:

  key : label

  method : {None}, optional

  > - default: matches where the label is within an interval only.

  Returns: | loc : int if unique index, slice if monotonic index, else mask

  Examples

      >>> i1, i2 = pd.Interval(0, 1), pd.Interval(1, 2)
      >>> index = pd.IntervalIndex([i1, i2])
      >>> index.get_loc(1)
      0

  You can also supply a point inside an interval.

      >>> index.get_loc(1.5)
      1

  If a label is in several intervals, you get the locations of all the relevant intervals.

      >>> i3 = pd.Interval(0, 2)
      >>> overlapping_index = pd.IntervalIndex([i1, i2, i3])
      >>> overlapping_index.get_loc(0.5)
      array([ True, False,  True])

  Only exact matches will be returned if an interval is provided.

      >>> index.get_loc(pd.Interval(0, 1))
      0

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