Move is_monotonic_inc to IntervalTree

Author: makbigc

pandas/_libs/intervaltree.pxi.in

@@ -4,6 +4,8 @@ Template for intervaltree
 WARNING: DO NOT edit .pxi FILE directly, .pxi is generated from .pxi.in
 """
 
+from pandas._libs.algos import is_monotonic
+
 ctypedef fused scalar_t:
     float64_t
     float32_t
@@ -101,6 +103,17 @@ cdef class IntervalTree(IntervalMixin):
 
         return self._is_overlapping
 
+    @property
+    def is_monotonic_increasing(self):
+        """
+        Return True if the IntervalTree is monotonic increasing (only equal or
+        increasing values), else False
+        """
+        values = [self.right, self.left]
+
+        sort_order = np.lexsort(values)
+        return is_monotonic(sort_order, False)[0]
+
     def get_loc(self, scalar_t key):
         """Return all positions corresponding to intervals that overlap with
         the given scalar key

pandas/core/indexes/interval.py

@@ -7,7 +7,6 @@
 from pandas._config import get_option
 
 from pandas._libs import Timedelta, Timestamp
-from pandas._libs.algos import is_monotonic
 from pandas._libs.interval import Interval, IntervalMixin, IntervalTree
 from pandas.compat import add_metaclass
 from pandas.util._decorators import Appender, cache_readonly
@@ -450,10 +449,7 @@ def is_monotonic_increasing(self):
         Return True if the IntervalIndex is monotonic increasing (only equal or
         increasing values), else False
         """
-        values = [self.right, self.left]
-
-        sort_order = np.lexsort(values)
-        return is_monotonic(sort_order, False)[0]
+        return self._engine.is_monotonic_increasing
 
     @cache_readonly
     def is_monotonic_decreasing(self):