CLN: remove unneeded inheritance from base object

Author: topper-123

ci/code_checks.sh

@@ -140,10 +140,6 @@ if [[ -z "$CHECK" || "$CHECK" == "patterns" ]]; then
     invgrep -R --include="*.py" --include="*.pyx" -E "(DEPRECATED|DEPRECATE|Deprecated)(:|,|\.)" pandas
     RET=$(($RET + $?)) ; echo $MSG "DONE"
 
-    MSG='Check for old-style classes' ; echo $MSG
-    invgrep -R --include="*.py" -E "class\s\S*[^)]:" pandas scripts
-    RET=$(($RET + $?)) ; echo $MSG "DONE"
-
     MSG='Check for backticks incorrectly rendering because of missing spaces' ; echo $MSG
     invgrep -R --include="*.rst" -E "[a-zA-Z0-9]\`\`?[a-zA-Z0-9]" doc/source/
     RET=$(($RET + $?)) ; echo $MSG "DONE"

doc/source/development/contributing.rst

@@ -773,7 +773,7 @@ Transitioning to ``pytest``
 
 .. code-block:: python
 
-    class TestReallyCoolFeature(object):
+    class TestReallyCoolFeature:
         pass
 
 Going forward, we are moving to a more *functional* style using the `pytest <http://docs.pytest.org/en/latest/>`__ framework, which offers a richer testing

doc/source/development/extending.rst

@@ -26,7 +26,7 @@ decorate a class, providing the name of attribute to add. The class's
 .. code-block:: python
 
    @pd.api.extensions.register_dataframe_accessor("geo")
-   class GeoAccessor(object):
+   class GeoAccessor:
        def __init__(self, pandas_obj):
            self._validate(pandas_obj)
            self._obj = pandas_obj

pandas/_config/config.py

@@ -177,7 +177,7 @@ def get_default_val(pat):
     return _get_registered_option(key).defval
 
 
-class DictWrapper(object):
+class DictWrapper:
     """ provide attribute-style access to a nested dict"""
 
     def __init__(self, d, prefix=""):
@@ -222,7 +222,7 @@ def __dir__(self):
 # of options, and option descriptions.
 
 
-class CallableDynamicDoc(object):
+class CallableDynamicDoc:
 
     def __init__(self, func, doc_tmpl):
         self.__doc_tmpl__ = doc_tmpl
@@ -379,7 +379,7 @@ def __doc__(self):
 # Functions for use by pandas developers, in addition to User - api
 
 
-class option_context(object):
+class option_context:
     """
     Context manager to temporarily set options in the `with` statement context.
 

pandas/_version.py

@@ -26,7 +26,7 @@ def get_keywords():
     return keywords
 
 
-class VersioneerConfig(object):
+class VersioneerConfig:
     pass
 
 

pandas/compat/numpy/function.py

@@ -27,7 +27,7 @@
     validate_args, validate_args_and_kwargs, validate_kwargs)
 
 
-class CompatValidator(object):
+class CompatValidator:
 
     def __init__(self, defaults, fname=None, method=None,
                  max_fname_arg_count=None):

pandas/core/accessor.py

@@ -10,7 +10,7 @@
 from pandas.util._decorators import Appender
 
 
-class DirNamesMixin(object):
+class DirNamesMixin:
     _accessors = frozenset()
     _deprecations = frozenset(
         ['asobject', 'base', 'data', 'flags', 'itemsize', 'strides'])
@@ -44,7 +44,7 @@ def __dir__(self):
         return sorted(rv)
 
 
-class PandasDelegate(object):
+class PandasDelegate:
     """
     An abstract base class for delegating methods/properties.
     """
@@ -151,7 +151,7 @@ def add_delegate_accessors(cls):
 # 1. We don't need to catch and re-raise AttributeErrors as RuntimeErrors
 # 2. We use a UserWarning instead of a custom Warning
 
-class CachedAccessor(object):
+class CachedAccessor:
     """
     Custom property-like object (descriptor) for caching accessors.
 
@@ -235,7 +235,7 @@ def __init__(self, pandas_object):  # noqa: E999
     import pandas as pd
 
     @pd.api.extensions.register_dataframe_accessor("geo")
-    class GeoAccessor(object):
+    class GeoAccessor:
         def __init__(self, pandas_obj):
             self._obj = pandas_obj
 

pandas/core/algorithms.py

@@ -1047,7 +1047,7 @@ def _get_score(at):
 # select n        #
 # --------------- #
 
-class SelectN(object):
+class SelectN:
 
     def __init__(self, obj, n, keep):
         self.obj = obj

pandas/core/api.py

@@ -48,7 +48,7 @@
 
 
 # Deprecation: xref gh-16747
-class TimeGrouper(object):
+class TimeGrouper:
 
     def __new__(cls, *args, **kwargs):
         from pandas.core.resample import TimeGrouper

pandas/core/apply.py

@@ -31,7 +31,7 @@ def frame_apply(obj, func, axis=0, broadcast=None,
                  args=args, kwds=kwds)
 
 
-class FrameApply(object):
+class FrameApply:
 
     def __init__(self, obj, func, broadcast, raw, reduce, result_type,
                  ignore_failures, args, kwds):