TYP: indexes (pandas-dev#37224)

pandas/core/indexes/interval.py

@@ -1290,10 +1290,8 @@ def interval_range(
     else:
         # delegate to the appropriate range function
         if isinstance(endpoint, Timestamp):
-            range_func = date_range
+            breaks = date_range(start=start, end=end, periods=periods, freq=freq)
         else:
-            range_func = timedelta_range
-
-        breaks = range_func(start=start, end=end, periods=periods, freq=freq)
+            breaks = timedelta_range(start=start, end=end, periods=periods, freq=freq)
 
     return IntervalIndex.from_breaks(breaks, name=name, closed=closed)

pandas/core/indexes/period.py

@@ -150,7 +150,7 @@ class PeriodIndex(DatetimeIndexOpsMixin, Int64Index):
     _supports_partial_string_indexing = True
 
     # --------------------------------------------------------------------
-    # methods that dispatch to array and wrap result in PeriodIndex
+    # methods that dispatch to array and wrap result in Index
     # These are defined here instead of via inherit_names for mypy
 
     @doc(PeriodArray.asfreq)
@@ -163,6 +163,24 @@ def to_timestamp(self, freq=None, how="start") -> DatetimeIndex:
         arr = self._data.to_timestamp(freq, how)
         return DatetimeIndex._simple_new(arr, name=self.name)
 
+    # error: Decorated property not supported  [misc]
+    @property  # type:ignore[misc]
+    @doc(PeriodArray.hour.fget)
+    def hour(self) -> Int64Index:
+        return Int64Index(self._data.hour, name=self.name)
+
+    # error: Decorated property not supported  [misc]
+    @property  # type:ignore[misc]
+    @doc(PeriodArray.minute.fget)
+    def minute(self) -> Int64Index:
+        return Int64Index(self._data.minute, name=self.name)
+
+    # error: Decorated property not supported  [misc]
+    @property  # type:ignore[misc]
+    @doc(PeriodArray.second.fget)
+    def second(self) -> Int64Index:
+        return Int64Index(self._data.second, name=self.name)
+
     # ------------------------------------------------------------------------
     # Index Constructors
 

pandas/core/reshape/concat.py

@@ -3,7 +3,7 @@
 """
 
 from collections import abc
-from typing import TYPE_CHECKING, Iterable, List, Mapping, Union, overload
+from typing import TYPE_CHECKING, Iterable, List, Mapping, Type, Union, cast, overload
 
 import numpy as np
 
@@ -30,7 +30,7 @@
 from pandas.core.internals import concatenate_block_managers
 
 if TYPE_CHECKING:
-    from pandas import DataFrame
+    from pandas import DataFrame, Series
     from pandas.core.generic import NDFrame
 
 # ---------------------------------------------------------------------
@@ -455,14 +455,17 @@ def __init__(
         self.new_axes = self._get_new_axes()
 
     def get_result(self):
+        cons: Type[FrameOrSeriesUnion]
+        sample: FrameOrSeriesUnion
 
         # series only
         if self._is_series:
+            sample = cast("Series", self.objs[0])
 
             # stack blocks
             if self.bm_axis == 0:
                 name = com.consensus_name_attr(self.objs)
-                cons = self.objs[0]._constructor
+                cons = sample._constructor
 
                 arrs = [ser._values for ser in self.objs]
 
@@ -475,7 +478,7 @@ def get_result(self):
                 data = dict(zip(range(len(self.objs)), self.objs))
 
                 # GH28330 Preserves subclassed objects through concat
-                cons = self.objs[0]._constructor_expanddim
+                cons = sample._constructor_expanddim
 
                 index, columns = self.new_axes
                 df = cons(data, index=index)
@@ -484,6 +487,8 @@ def get_result(self):
 
         # combine block managers
         else:
+            sample = cast("DataFrame", self.objs[0])
+
             mgrs_indexers = []
             for obj in self.objs:
                 indexers = {}
@@ -506,7 +511,7 @@ def get_result(self):
             if not self.copy:
                 new_data._consolidate_inplace()
 
-            cons = self.objs[0]._constructor
+            cons = sample._constructor
             return cons(new_data).__finalize__(self, method="concat")
 
     def _get_result_dim(self) -> int:

setup.cfg

@@ -181,18 +181,12 @@ check_untyped_defs=False
 [mypy-pandas.core.indexes.extension]
 check_untyped_defs=False
 
-[mypy-pandas.core.indexes.interval]
-check_untyped_defs=False
-
 [mypy-pandas.core.indexes.multi]
 check_untyped_defs=False
 
 [mypy-pandas.core.resample]
 check_untyped_defs=False
 
-[mypy-pandas.core.reshape.concat]
-check_untyped_defs=False
-
 [mypy-pandas.core.reshape.merge]
 check_untyped_defs=False
 
@@ -214,9 +208,6 @@ check_untyped_defs=False
 [mypy-pandas.io.parsers]
 check_untyped_defs=False
 
-[mypy-pandas.plotting._matplotlib.converter]
-check_untyped_defs=False
-
 [mypy-pandas.plotting._matplotlib.core]
 check_untyped_defs=False