DOC: Fix spacing and reword parameter info and examples (pandas-dev#41423).

Remove return, replace with has.
Remove array, replace with list.
Fix array spacing to match other Series examples.
Replace long param info with only affects sentence, based off DataFrame documentation.
Reword example explanation.
Change numpy.array to 1d ndarray to match other documentation, like DataFrame.

Author: mdhsieh

pandas/core/series.py

@@ -223,10 +223,7 @@ class Series(base.IndexOpsMixin, generic.NDFrame):
     name : str, optional
         The name to give to the Series.
     copy : bool, default False
-        Copy input data. If False and the Series returns a `copy`
-        of the data, the memory location for the values is not shared.
-        If False and the Series returns a `view` on the data,
-        the memory location for the values is shared.
+        Copy input data. Only affects Series or 1d ndarray input. See examples.
 
     Examples
     --------
@@ -255,9 +252,9 @@ class Series(base.IndexOpsMixin, generic.NDFrame):
     After this the Series is reindexed with the given Index values, hence we
     get all NaN as a result.
     
-    Constructing Series from an array with `copy=False`.
-    
-    >>> r = [1,2]
+    Constructing Series from a list with `copy=False`.
+
+    >>> r = [1, 2]
     >>> ser = pd.Series(r, copy=False)
     >>> ser.iloc[0] = 999
     >>> r
@@ -266,13 +263,13 @@ class Series(base.IndexOpsMixin, generic.NDFrame):
     0    999
     1      2
     dtype: int64
-    
-    The Series returns a `copy` of the original data, so
-    the original data is unchanged.
-    
-    Constructing Series from a `numpy.array` with `copy=False`.
-    
-    >>> r = np.array([1,2])
+
+    Due to input data type the Series has a `copy` of the original data even though `copy=False`, so
+    the data is unchanged.
+
+    Constructing Series from a 1d ndarray with `copy=False`.
+
+    >>> r = np.array([1, 2])
     >>> ser = pd.Series(r, copy=False)
     >>> ser.iloc[0] = 999
     >>> r
@@ -281,9 +278,9 @@ class Series(base.IndexOpsMixin, generic.NDFrame):
     0    999
     1      2
     dtype: int32
-    
-    The Series returns a `view` on the original data, so
-    the original data is changed as well.
+
+    Due to input data type the Series has a `view` on the original data, so
+    the data is changed as well.
     """
 
     _typ = "series"