classmethod IntervalIndex.from_tuples(data, closed='right', name=None, copy=False, dtype=None) [source]
Construct an IntervalIndex from a list/array of tuples
| Parameters: |
data : array-like (1-dimensional) Array of tuples closed : {‘left’, ‘right’, ‘both’, ‘neither’}, default ‘right’ Whether the intervals are closed on the left-side, right-side, both or neither. name : object, optional Name to be stored in the index. copy : boolean, default False by-default copy the data, this is compat only and ignored dtype : dtype or None, default None If None, dtype will be inferred New in version 0.23.0. |
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See also
interval_range
IntervalIndex.from_arrays
IntervalIndex.from_breaks
>>> pd.IntervalIndex.from_tuples([(0, 1), (1, 2)])
IntervalIndex([(0, 1], (1, 2]],
closed='right', dtype='interval[int64]')
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http://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.IntervalIndex.from_tuples.html