pandas.IntervalIndex — pandas 1.0.1 documentation (original) (raw)
Immutable index of intervals that are closed on the same side.
New in version 0.20.0.
Parameters
dataarray-like (1-dimensional)
Array-like containing Interval objects from which to build the IntervalIndex.
closed{‘left’, ‘right’, ‘both’, ‘neither’}, default ‘right’
Whether the intervals are closed on the left-side, right-side, both or neither.
dtypedtype or None, default None
If None, dtype will be inferred.
New in version 0.23.0.
copybool, default False
Copy the input data.
nameobject, optional
Name to be stored in the index.
verify_integritybool, default True
Verify that the IntervalIndex is valid.
See also
The base pandas Index type.
A bounded slice-like interval; the elements of an IntervalIndex.
Function to create a fixed frequency IntervalIndex.
Bin values into discrete Intervals.
Bin values into equal-sized Intervals based on rank or sample quantiles.
Notes
See the user guidefor more.
Examples
A new IntervalIndex
is typically constructed usinginterval_range():
pd.interval_range(start=0, end=5) IntervalIndex([(0, 1], (1, 2], (2, 3], (3, 4], (4, 5]], closed='right', dtype='interval[int64]')
It may also be constructed using one of the constructor methods: IntervalIndex.from_arrays(),IntervalIndex.from_breaks(), and IntervalIndex.from_tuples().
See further examples in the doc strings of interval_range
and the mentioned constructor methods.
Attributes
left | Return the left endpoints of each Interval in the IntervalArray as an Index. |
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right | Return the right endpoints of each Interval in the IntervalArray as an Index. |
closed | Whether the intervals are closed on the left-side, right-side, both or neither. |
mid | Return the midpoint of each Interval in the IntervalArray as an Index. |
length | Return an Index with entries denoting the length of each Interval in the IntervalArray. |
is_empty | Indicates if an interval is empty, meaning it contains no points. |
is_non_overlapping_monotonic | Return True if the IntervalArray is non-overlapping (no Intervals share points) and is either monotonic increasing or monotonic decreasing, else False. |
is_overlapping | Return True if the IntervalIndex has overlapping intervals, else False. |
values | Return the IntervalIndex’s data as an IntervalArray. |
Methods
from_arrays(left, right, closed[, name, dtype]) | Construct from two arrays defining the left and right bounds. |
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from_tuples(data, closed[, name, dtype]) | Construct an IntervalIndex from an array-like of tuples. |
from_breaks(breaks, closed[, name, dtype]) | Construct an IntervalIndex from an array of splits. |
contains(self, \*args, \*\*kwargs) | Check elementwise if the Intervals contain the value. |
overlaps(self, \*args, \*\*kwargs) | Check elementwise if an Interval overlaps the values in the IntervalArray. |
set_closed(self, \*args, \*\*kwargs) | Return an IntervalArray identical to the current one, but closed on the specified side. |
to_tuples(self, \*args, \*\*kwargs) | Return an ndarray of tuples of the form (left, right). |