[PERF] Get rid of MultiIndex conversion in IntervalIndex.is_monotonic methods (pandas-dev#25820)

Author: ryanreh99

doc/source/whatsnew/v0.25.0.rst

@@ -244,10 +244,14 @@ Performance Improvements
 - Improved performance of :meth:`read_csv` by faster tokenizing and faster parsing of small float numbers (:issue:`25784`)
 - Improved performance of :meth:`read_csv` by faster parsing of N/A and boolean values (:issue:`25804`)
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 - Imporved performance of :meth:`IntervalIndex.is_monotonic`, :meth:`IntervalIndex.is_monotonic_increasing` and :meth:`IntervalIndex.is_monotonic_decreasing` by removing conversion to :class:`MultiIndex` (:issue:`24813`)
 - Improved performance of :meth:`DataFrame.to_csv` when writing datetime dtypes (:issue:`25708`)
 - Improved performance of :meth:`read_csv` by much faster parsing of ``MM/YYYY`` and ``DD/MM/YYYY`` datetime formats (:issue:`25922`)
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+=======
+- Imporved performance of :meth:`IntervalIndex.is_monotonic`, :meth:`IntervalIndex.is_monotonic_increasing` and :meth:`IntervalIndex.is_monotonic_decreasing` by removing conversion to :class:`MultiIndex` (:issue:`24813`)
+>>>>>>> ef3bec26c... [PERF] Get rid of MultiIndex conversion in IntervalIndex.is_monotonic methods (#25820)
 - Improved performance of :meth:DataFrame.`to_csv` when write datetime dtype data (:issue:`25708`)
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 >>>>>>> f53bb0619... Improved performance of :meth:DataFrame.to_csv when write datetime dtype data (#25765)