[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

README.md

@@ -147,11 +147,11 @@ If you have a feature request, please open an issue or submit a PR!
 
 ## TL;DR
 
-Pandas 0.23 introduced a simpler API for [extending Pandas](https://pandas.pydata.org/pandas-docs/stable/development/extending.html#extending-pandas). This API provided two key decorators, `register_dataframe_accessor` and `register_series_accessor`, that enable users to register **accessors** with Pandas DataFrames and Series. 
+Pandas 0.23 introduced a simpler API for [extending Pandas](https://pandas.pydata.org/pandas-docs/stable/development/extending.html#extending-pandas). This API provided two key decorators, `register_dataframe_accessor` and `register_series_accessor`, that enable users to register **accessors** with Pandas DataFrames and Series.
 
-Pandas Flavor originated as a library to backport these decorators to older versions of Pandas (<0.23). While doing the backporting, it became clear that registering **methods** directly to Pandas objects might be a desired feature as well.[*](#footnote) 
+Pandas Flavor originated as a library to backport these decorators to older versions of Pandas (<0.23). While doing the backporting, it became clear that registering **methods** directly to Pandas objects might be a desired feature as well.[*](#footnote)
 
-<a name="footnote">*</a>*It is likely that Pandas deliberately chose not implement to this feature. If everyone starts monkeypatching DataFrames with their custom methods, it could lead to confusion in the Pandas community. The preferred Pandas approach is to namespace your methods by registering an accessor that contains your custom methods.* 
+<a name="footnote">*</a>*It is likely that Pandas deliberately chose not implement to this feature. If everyone starts monkeypatching DataFrames with their custom methods, it could lead to confusion in the Pandas community. The preferred Pandas approach is to namespace your methods by registering an accessor that contains your custom methods.*
 
 **So how does method registration work?**
 

pandas_flavor/register.py

@@ -1,10 +1,14 @@
 from functools import wraps
-from pandas.api.extensions import register_series_accessor, register_dataframe_accessor
+from pandas.api.extensions import (
+    register_series_accessor,
+    register_dataframe_accessor,
+)
 import inspect
 from contextlib import nullcontext
 
 method_call_ctx_factory = None
 
+
 def register_dataframe_method(method):
     """Register a function as a method attached to the Pandas DataFrame.
 
@@ -29,12 +33,22 @@ def __init__(self, pandas_obj):
             @wraps(method)
             def __call__(self, *args, **kwargs):
                 global method_call_ctx_factory
-                method_call_ctx = method_call_ctx_factory(method.__name__, args, kwargs) if method_call_ctx_factory else nullcontext()
+                method_call_ctx = (
+                    method_call_ctx_factory(method.__name__, args, kwargs)
+                    if method_call_ctx_factory
+                    else nullcontext()
+                )
                 with method_call_ctx:
                     if not isinstance(method_call_ctx, nullcontext):
                         all_args = tuple([self._obj] + list(args))
-                        new_args, new_kwargs = method_call_ctx.handle_start_method_call(method.__name__, method_signature, all_args, kwargs)
-                        args = new_args[1:]; kwargs = new_kwargs
+                        (
+                            new_args,
+                            new_kwargs,
+                        ) = method_call_ctx.handle_start_method_call(
+                            method.__name__, method_signature, all_args, kwargs
+                        )
+                        args = new_args[1:]
+                        kwargs = new_kwargs
 
                     ret = method(self._obj, *args, **kwargs)
 
@@ -54,7 +68,7 @@ def register_series_method(method):
     """Register a function as a method attached to the Pandas Series."""
 
     method_signature = inspect.signature(method)
-    
+
     def inner(*args, **kwargs):
         class AccessorMethod(object):
             __doc__ = method.__doc__
@@ -65,12 +79,22 @@ def __init__(self, pandas_obj):
             @wraps(method)
             def __call__(self, *args, **kwargs):
                 global method_call_ctx_factory
-                method_call_ctx = method_call_ctx_factory(method.__name__, args, kwargs) if method_call_ctx_factory else nullcontext()
+                method_call_ctx = (
+                    method_call_ctx_factory(method.__name__, args, kwargs)
+                    if method_call_ctx_factory
+                    else nullcontext()
+                )
                 with method_call_ctx:
                     if not isinstance(method_call_ctx, nullcontext):
                         all_args = tuple([self._obj] + list(args))
-                        new_args, new_kwargs = method_call_ctx.handle_start_method_call(method.__name__, method_signature, all_args, kwargs)
-                        args = new_args[1:]; kwargs = new_kwargs
+                        (
+                            new_args,
+                            new_kwargs,
+                        ) = method_call_ctx.handle_start_method_call(
+                            method.__name__, method_signature, all_args, kwargs
+                        )
+                        args = new_args[1:]
+                        kwargs = new_kwargs
 
                     ret = method(self._obj, *args, **kwargs)