changes

Author: topper-123

pandas/core/common.py

@@ -9,7 +9,7 @@
 from datetime import datetime, timedelta
 from functools import partial
 import inspect
-from typing import Any
+from typing import Any, Iterable, Union
 
 import numpy as np
 
@@ -289,7 +289,7 @@ def maybe_make_list(obj):
     return obj
 
 
-def maybe_itarable_to_list(obj: Any) -> Any:
+def maybe_iterable_to_list(obj: Union[Iterable, Any]) -> Union[list, Any]:
     """
     If obj is Iterable but not list-like, consume into list.
     """

pandas/core/internals/construction.py

@@ -197,7 +197,7 @@ def init_dict(data, index, columns, dtype=None):
     else:
         keys = com.dict_keys_to_ordered_list(data)
         columns = data_names = Index(keys)
-        arrays = (com.maybe_itarable_to_list(data[k]) for k in keys)
+        arrays = (com.maybe_iterable_to_list(data[k]) for k in keys)
         # GH#24096 need copy to be deep for datetime64tz case
         # TODO: See if we can avoid these copies
         arrays = [arr if not is_datetime64tz_dtype(arr) else

pandas/core/series.py

@@ -224,7 +224,7 @@ def __init__(self, data=None, index=None, dtype=None, name=None,
                 # handle sparse passed here (and force conversion)
                 data = data.to_dense()
             else:
-                data = com.maybe_itarable_to_list(data)
+                data = com.maybe_iterable_to_list(data)
 
             if index is None:
                 if not is_list_like(data):

pandas/tests/frame/test_constructors.py

@@ -534,6 +534,7 @@ def test_constructor_dict_of_tuples(self):
         tm.assert_frame_equal(result, expected, check_dtype=False)
 
     def test_constructor_dict_of_ranges(self):
+        # GH 26356
         data = {'a': range(3), 'b': range(3, 6)}
 
         result = DataFrame(data)