Potential concat fix (#45)

* Potential concat fix

* Fix

* Moved tests, comment

setup.py

@@ -21,7 +21,7 @@ def list_packages(source_path: str = src_path) -> None:
 setup(
     name="pandas-stubs",
     package_dir={"": src_path},
-    version="1.1.0.10",
+    version="1.1.0.11",
     description="Type annotations for Pandas",
     long_description=(open("README.md").read()
                       if os.path.exists("README.md") else ""),

tests/snippets/test_frame.py

@@ -361,16 +361,6 @@ def test_types_melt() -> None:
     pd.melt(df, id_vars=['col1'], value_vars=['col2'], var_name="someVariable", value_name="someValue")
 
 
-def test_types_concat() -> None:
-    df = pd.DataFrame(data={'col1': [1, 2], 'col2': [3, 4]})
-    df2 = pd.DataFrame(data={'col1': [10, 20], 'col2': [30, 40]})
-
-    pd.concat([df, df2])
-    pd.concat([df, df2], axis=1)
-    pd.concat([df, df2], keys=['first', 'second'], sort=True)
-    pd.concat([df, df2], keys=['first', 'second'], names=["source", "row"])
-
-
 def test_types_pivot() -> None:
     df = pd.DataFrame(data={'col1': ['first', 'second', 'third', 'fourth'],
                             'col2': [50, 70, 56, 111], 'col3': ['A', 'B', 'B', 'A'], 'col4': [100, 102, 500, 600]})

tests/snippets/test_pandas.py

@@ -1,3 +1,6 @@
+# flake8: noqa: F841
+from typing import Union
+
 import pandas as pd
 
 
@@ -10,3 +13,24 @@ def test_types_to_datetime() -> None:
     pd.to_datetime(df, unit="ns", dayfirst=True, utc=None, format="%M:%D", exact=False)
     pd.to_datetime([1, 2], unit="D", origin=pd.Timestamp("01/01/2000"))
     pd.to_datetime([1, 2], unit="D", origin=3)
+
+
+def test_types_concat() -> None:
+    s = pd.Series([0, 1, -10])
+    s2 = pd.Series([7, -5, 10])
+
+    pd.concat([s, s2])
+    pd.concat([s, s2], axis=1)
+    pd.concat([s, s2], keys=['first', 'second'], sort=True)
+    pd.concat([s, s2], keys=['first', 'second'], names=["source", "row"])
+
+    df = pd.DataFrame(data={'col1': [1, 2], 'col2': [3, 4]})
+    df2 = pd.DataFrame(data={'col1': [10, 20], 'col2': [30, 40]})
+
+    pd.concat([df, df2])
+    pd.concat([df, df2], axis=1)
+    pd.concat([df, df2], keys=['first', 'second'], sort=True)
+    pd.concat([df, df2], keys=['first', 'second'], names=["source", "row"])
+
+    result: pd.DataFrame = pd.concat({"a": pd.DataFrame([1, 2, 3]), "b": pd.DataFrame([4, 5, 6])}, axis=1)
+    result2: Union[pd.DataFrame, pd.Series] = pd.concat({"a": pd.Series([1, 2, 3]), "b": pd.Series([4, 5, 6])}, axis=1)

tests/snippets/test_series.py

@@ -313,16 +313,6 @@ def test_types_element_wise_arithmetic() -> None:
     s.mod(s2, fill_value=0)
 
 
-def test_types_concat() -> None:
-    s = pd.Series([0, 1, -10])
-    s2 = pd.Series([7, -5, 10])
-
-    pd.concat([s, s2])
-    pd.concat([s, s2], axis=1)
-    pd.concat([s, s2], keys=['first', 'second'], sort=True)
-    pd.concat([s, s2], keys=['first', 'second'], names=["source", "row"])
-
-
 def test_types_groupby() -> None:
     s = pd.Series([4, 2, 1, 8], index=['a', 'b', 'a', 'b'])
     s.groupby(['a', 'b', 'a', 'b'])

third_party/3/pandas/core/reshape/concat.pyi

@@ -1,16 +1,20 @@
 from pandas import DataFrame as DataFrame, Index as Index, MultiIndex as MultiIndex, Series as Series
-from pandas._typing import Axis, FrameOrSeries
+from pandas._typing import Axis, FrameOrSeries, Label
 from pandas.core.arrays.categorical import factorize_from_iterable as factorize_from_iterable, factorize_from_iterables as factorize_from_iterables
 from pandas.core.generic import NDFrame as NDFrame
 from pandas.core.indexes.api import all_indexes_same as all_indexes_same, ensure_index as ensure_index, get_consensus_names as get_consensus_names, get_objs_combined_axis as get_objs_combined_axis
 from pandas.core.internals import concatenate_block_managers as concatenate_block_managers
-from typing import Any, Hashable, Iterable, Mapping, Optional, Union, overload
-
+from typing import Any, Iterable, Mapping, overload
 
+# For some reason mypy won't read this declaration correctly if we use 2 overloads with union
+@overload
+def concat(objs: Iterable[DataFrame], axis: Axis = ..., join: str=..., ignore_index: bool=..., keys: Any = ..., levels: Any = ..., names: Any = ..., verify_integrity: bool=..., sort: bool=..., copy: bool=...) -> DataFrame: ...
+@overload
+def concat(objs: Mapping[Label, DataFrame], axis: Axis = ..., join: str=..., ignore_index: bool=..., keys: Any = ..., levels: Any = ..., names: Any = ..., verify_integrity: bool=..., sort: bool=..., copy: bool=...) -> DataFrame: ...
 @overload
-def concat(objs: Union[Iterable[DataFrame], Mapping[Optional[Hashable], DataFrame]], axis: Axis = ..., join: str=..., ignore_index: bool=..., keys: Any = ..., levels: Any = ..., names: Any = ..., verify_integrity: bool=..., sort: bool=..., copy: bool=...) -> DataFrame: ...
+def concat(objs: Iterable[Series], axis: Axis = ..., join: str=..., ignore_index: bool=..., keys: Any = ..., levels: Any = ..., names: Any = ..., verify_integrity: bool=..., sort: bool=..., copy: bool=...) -> FrameOrSeries: ...
 @overload
-def concat(objs: Union[Iterable[Series], Mapping[Optional[Hashable], Series]], axis: Axis = ..., join: str=..., ignore_index: bool=..., keys: Any = ..., levels: Any = ..., names: Any = ..., verify_integrity: bool=..., sort: bool=..., copy: bool=...) -> FrameOrSeries: ...
+def concat(objs: Mapping[Label, Series], axis: Axis = ..., join: str=..., ignore_index: bool=..., keys: Any = ..., levels: Any = ..., names: Any = ..., verify_integrity: bool=..., sort: bool=..., copy: bool=...) -> FrameOrSeries: ...
 
 class _Concatenator:
     intersect: bool = ...