Add set_module on Series

Author: dl-lim

doc/source/development/contributing_docstring.rst

@@ -940,7 +940,7 @@ Finally, docstrings can also be appended to with the ``doc`` decorator.
 
 In this example, we'll create a parent docstring normally (this is like
 ``pandas.core.generic.NDFrame``). Then we'll have two children (like
-``pandas.core.series.Series`` and ``pandas.DataFrame``). We'll
+``pandas.Series`` and ``pandas.DataFrame``). We'll
 substitute the class names in this docstring.
 
 .. code-block:: python
@@ -995,5 +995,5 @@ mapping function names to docstrings. Wherever possible, we prefer using
 ``doc``, since the docstring-writing processes is slightly closer to normal.
 
 See ``pandas.core.generic.NDFrame.fillna`` for an example template, and
-``pandas.core.series.Series.fillna`` and ``pandas.core.generic.frame.fillna``
+``pandas.Series.fillna`` and ``pandas.core.generic.frame.fillna``
 for the filled versions.

pandas/core/indexing.py

@@ -212,7 +212,7 @@ def iloc(self) -> _iLocIndexer:
         With a scalar integer.
 
         >>> type(df.iloc[0])
-        <class 'pandas.core.series.Series'>
+        <class 'pandas.Series'>
         >>> df.iloc[0]
         a    1
         b    2

pandas/core/series.py

@@ -50,6 +50,7 @@
     Substitution,
     deprecate_nonkeyword_arguments,
     doc,
+    set_module,
 )
 from pandas.util._validators import (
     validate_ascending,
@@ -229,6 +230,7 @@
 # error: Cannot override final attribute "size" (previously declared in base
 # class "NDFrame")
 # definition in base class "NDFrame"
+@set_module("pandas")
 class Series(base.IndexOpsMixin, NDFrame):  # type: ignore[misc]
     """
     One-dimensional ndarray with axis labels (including time series).

pandas/io/formats/info.py

@@ -165,7 +165,7 @@
     >>> text_values = ['alpha', 'beta', 'gamma', 'delta', 'epsilon']
     >>> s = pd.Series(text_values, index=int_values)
     >>> s.info()
-    <class 'pandas.core.series.Series'>
+    <class 'pandas.Series'>
     Index: 5 entries, 1 to 5
     Series name: None
     Non-Null Count  Dtype
@@ -177,7 +177,7 @@
     Prints a summary excluding information about its values:
 
     >>> s.info(verbose=False)
-    <class 'pandas.core.series.Series'>
+    <class 'pandas.Series'>
     Index: 5 entries, 1 to 5
     dtypes: object(1)
     memory usage: 80.0+ bytes
@@ -200,7 +200,7 @@
     >>> random_strings_array = np.random.choice(['a', 'b', 'c'], 10 ** 6)
     >>> s = pd.Series(np.random.choice(['a', 'b', 'c'], 10 ** 6))
     >>> s.info()
-    <class 'pandas.core.series.Series'>
+    <class 'pandas.Series'>
     RangeIndex: 1000000 entries, 0 to 999999
     Series name: None
     Non-Null Count    Dtype
@@ -210,7 +210,7 @@
     memory usage: 7.6+ MB
 
     >>> s.info(memory_usage='deep')
-    <class 'pandas.core.series.Series'>
+    <class 'pandas.Series'>
     RangeIndex: 1000000 entries, 0 to 999999
     Series name: None
     Non-Null Count    Dtype

pandas/plotting/_core.py

@@ -428,7 +428,7 @@ def hist_frame(
     >>> boxplot = df.boxplot(column=['Col1', 'Col2'], by='X',
     ...                      return_type='axes')
     >>> type(boxplot)
-    <class 'pandas.core.series.Series'>
+    <class 'pandas.Series'>
 
 If ``return_type`` is `None`, a NumPy array of axes with the same shape
 as ``layout`` is returned:

pandas/tests/api/test_api.py

@@ -416,3 +416,4 @@ def test_set_module():
     assert pd.Period.__module__ == "pandas"
     assert pd.Timestamp.__module__ == "pandas"
     assert pd.Timedelta.__module__ == "pandas"
+    assert pd.Series.__module__ == "pandas"

pandas/tests/io/pytables/test_append.py

@@ -795,7 +795,7 @@ def test_append_raise(setup_path):
         # series directly
         msg = re.escape(
             "cannot properly create the storer for: "
-            "[group->df,value-><class 'pandas.core.series.Series'>]"
+            "[group->df,value-><class 'pandas.Series'>]"
         )
         with pytest.raises(TypeError, match=msg):
             store.append("df", Series(np.arange(10)))

pandas/tests/series/methods/test_info.py

@@ -56,7 +56,7 @@ def test_info_series(
 
     expected = textwrap.dedent(
         """\
-        <class 'pandas.core.series.Series'>
+        <class 'pandas.Series'>
         MultiIndex: 10 entries, ('foo', 'one') to ('qux', 'three')
         """
     )
@@ -87,7 +87,7 @@ def test_info_memory():
     memory_bytes = float(s.memory_usage())
     expected = textwrap.dedent(
         f"""\
-    <class 'pandas.core.series.Series'>
+    <class 'pandas.Series'>
     RangeIndex: 2 entries, 0 to 1
     Series name: None
     Non-Null Count  Dtype