TYP: clean for PY3.8 (Literal) (#42385)

Author: simonjayhawkins

pandas/_typing.py

@@ -21,6 +21,7 @@
     Dict,
     Hashable,
     List,
+    Literal,
     Mapping,
     Optional,
     Sequence,
@@ -37,7 +38,6 @@
 # https://mypy.readthedocs.io/en/latest/common_issues.html#import-cycles
 if TYPE_CHECKING:
     from typing import (
-        Literal,
         TypedDict,
         final,
     )
@@ -200,10 +200,7 @@
 ]
 
 # Arguments for fillna()
-if TYPE_CHECKING:
-    FillnaOptions = Literal["backfill", "bfill", "ffill", "pad"]
-else:
-    FillnaOptions = str
+FillnaOptions = Literal["backfill", "bfill", "ffill", "pad"]
 
 # internals
 Manager = Union[

pandas/core/algorithms.py

@@ -8,6 +8,7 @@
 from textwrap import dedent
 from typing import (
     TYPE_CHECKING,
+    Literal,
     Union,
     cast,
 )
@@ -79,7 +80,6 @@
 from pandas.core.indexers import validate_indices
 
 if TYPE_CHECKING:
-    from typing import Literal
 
     from pandas import (
         Categorical,

pandas/core/arrays/base.py

@@ -14,6 +14,7 @@
     Any,
     Callable,
     Iterator,
+    Literal,
     Sequence,
     TypeVar,
     cast,
@@ -72,7 +73,6 @@
 )
 
 if TYPE_CHECKING:
-    from typing import Literal
 
     class ExtensionArraySupportsAnyAll("ExtensionArray"):
         def any(self, *, skipna: bool = True) -> bool:

pandas/core/arrays/datetimelike.py

@@ -9,6 +9,7 @@
     TYPE_CHECKING,
     Any,
     Callable,
+    Literal,
     Sequence,
     TypeVar,
     Union,
@@ -121,7 +122,6 @@
 from pandas.tseries import frequencies
 
 if TYPE_CHECKING:
-    from typing import Literal
 
     from pandas.core.arrays import (
         DatetimeArray,

pandas/core/arrays/datetimes.py

@@ -8,6 +8,7 @@
 )
 from typing import (
     TYPE_CHECKING,
+    Literal,
     cast,
     overload,
 )
@@ -81,7 +82,6 @@
 )
 
 if TYPE_CHECKING:
-    from typing import Literal
 
     from pandas import DataFrame
     from pandas.core.arrays import (

pandas/core/base.py

@@ -10,6 +10,7 @@
     Any,
     Generic,
     Hashable,
+    Literal,
     TypeVar,
     cast,
 )
@@ -64,7 +65,6 @@
 import pandas.core.nanops as nanops
 
 if TYPE_CHECKING:
-    from typing import Literal
 
     from pandas import Categorical
 

pandas/core/dtypes/cast.py

@@ -14,6 +14,7 @@
 from typing import (
     TYPE_CHECKING,
     Any,
+    Literal,
     Sized,
     TypeVar,
     cast,
@@ -93,7 +94,6 @@
 )
 
 if TYPE_CHECKING:
-    from typing import Literal
 
     from pandas.core.arrays import (
         DatetimeArray,

pandas/core/frame.py

@@ -27,6 +27,7 @@
     Hashable,
     Iterable,
     Iterator,
+    Literal,
     Sequence,
     cast,
     overload,
@@ -207,7 +208,6 @@
 import pandas.plotting
 
 if TYPE_CHECKING:
-    from typing import Literal
 
     from pandas._typing import (
         TimedeltaConvertibleTypes,

pandas/core/generic.py

@@ -14,6 +14,7 @@
     AnyStr,
     Callable,
     Hashable,
+    Literal,
     Mapping,
     Sequence,
     cast,
@@ -154,7 +155,6 @@
 from pandas.io.formats.printing import pprint_thing
 
 if TYPE_CHECKING:
-    from typing import Literal
 
     from pandas._libs.tslibs import BaseOffset
     from pandas._typing import RandomState

pandas/core/groupby/groupby.py

@@ -24,6 +24,7 @@ class providing the base-class of operations.
     Iterable,
     Iterator,
     List,
+    Literal,
     Mapping,
     Sequence,
     TypeVar,
@@ -109,7 +110,6 @@ class providing the base-class of operations.
 )
 
 if TYPE_CHECKING:
-    from typing import Literal
 
     from pandas._typing import RandomState