(minor fixes to examples in docstrings)

Author: eoincondron

pandas/core/nanops.py

@@ -991,7 +991,7 @@ def nanstd(
     >>> from pandas.core import nanops
     >>> s = pd.Series([1, np.nan, 2, 3])
     >>> nanops.nanstd(s.values)
-    1.0
+    np.float64(1.0)
     """
     if values.dtype == "M8[ns]":
         values = values.view("m8[ns]")
@@ -1038,7 +1038,7 @@ def nanvar(
     >>> from pandas.core import nanops
     >>> s = pd.Series([1, np.nan, 2, 3])
     >>> nanops.nanvar(s.values)
-    1.0
+    np.float64(1.0)
     """
     dtype = values.dtype
     mask = _maybe_get_mask(values, skipna, mask)

pandas/core/nanops_numba.py

@@ -474,7 +474,7 @@ def _chunk_arr_into_arr_list(
     >>> final_length
     3
     >>> len(arr_list)
-    3  # transposed, so 3 columns become 3 arrays
+    3
     """
     ndim = values.ndim
     if multi_threading:
@@ -605,13 +605,13 @@ def nb_reduce(
     >>> arr = np.array([1.0, 2.0, np.nan, 4.0])
     >>> result, count = nb_reduce("sum", arr, skipna=True)
     >>> result, count
-    (7.0, 3)
+    (np.float64(7.0), 3)
 
     >>> # 2D array reduction along axis
     >>> arr_2d = np.array([[1.0, 2.0], [3.0, np.nan]])
     >>> result, count = nb_reduce("sum", arr_2d, axis=0, skipna=True)
     >>> result, count
-    (array([4.0, 2.0]), array([2, 1]))
+    (array([4., 2.]), array([2, 1]))
     """
     values = np.asarray(values)
     if values.dtype.kind in "bui" and mask is None: