CLN: more lgtm.com cleanups

pandas/core/arrays/_ranges.py

@@ -179,7 +179,6 @@ def _generate_range_overflow_safe_signed(
             # watch out for very special case in which we just slightly
             #  exceed implementation bounds, but when passing the result to
             #  np.arange will get a result slightly within the bounds
-            assert endpoint >= 0
             result = np.uint64(endpoint) + np.uint64(addend)
             i64max = np.uint64(np.iinfo(np.int64).max)
             assert result > i64max

pandas/core/base.py

@@ -309,7 +309,6 @@ def _aggregate(self, arg, *args, **kwargs):
         None if not required
         """
         is_aggregator = lambda x: isinstance(x, (list, tuple, dict))
-        is_nested_renamer = False
 
         _axis = kwargs.pop("_axis", None)
         if _axis is None:
@@ -398,24 +397,7 @@ def _agg(arg, func):
             keys = list(arg.keys())
             result = OrderedDict()
 
-            # nested renamer
-            if is_nested_renamer:
-                result = list(_agg(arg, _agg_1dim).values())
-
-                if all(isinstance(r, dict) for r in result):
-
-                    result, results = OrderedDict(), result
-                    for r in results:
-                        result.update(r)
-                    keys = list(result.keys())
-
-                else:
-
-                    if self._selection is not None:
-                        keys = None
-
-            # some selection on the object
-            elif self._selection is not None:
+            if self._selection is not None:
 
                 sl = set(self._selection_list)
 

pandas/core/groupby/generic.py

@@ -1131,7 +1131,6 @@ def _aggregate_item_by_item(self, func, *args, **kwargs) -> DataFrame:
         obj = self._obj_with_exclusions
         result: OrderedDict = OrderedDict()
         cannot_agg = []
-        errors = None
         for item in obj:
             data = obj[item]
             colg = SeriesGroupBy(data, selection=item, grouper=self.grouper)
@@ -1157,10 +1156,6 @@ def _aggregate_item_by_item(self, func, *args, **kwargs) -> DataFrame:
         if cannot_agg:
             result_columns = result_columns.drop(cannot_agg)
 
-            # GH6337
-            if not len(result_columns) and errors is not None:
-                raise errors
-
         return DataFrame(result, columns=result_columns)
 
     def _wrap_applied_output(self, keys, values, not_indexed_same=False):

pandas/core/indexes/multi.py

@@ -2204,9 +2204,6 @@ def reorder_levels(self, order):
             levels=new_levels, codes=new_codes, names=new_names, verify_integrity=False
         )
 
-    def __getslice__(self, i, j):
-        return self.__getitem__(slice(i, j))
-
     def _get_codes_for_sorting(self):
         """
         we categorizing our codes by using the

pandas/core/internals/concat.py

@@ -195,7 +195,6 @@ def get_reindexed_values(self, empty_dtype, upcasted_na):
                         return array(
                             np.full(self.shape[1], fill_value.value), dtype=empty_dtype
                         )
-                    pass
                 elif getattr(self.block, "is_categorical", False):
                     pass
                 elif getattr(self.block, "is_extension", False):

pandas/core/ops/missing.py

@@ -168,7 +168,7 @@ def dispatch_fill_zeros(op, left, right, result):
         # Note: no need to do this for truediv; in py3 numpy behaves the way
         #  we want.
         result = mask_zero_div_zero(left, right, result)
-    elif op is op is rfloordiv:
+    elif op is rfloordiv:
         # Note: no need to do this for rtruediv; in py3 numpy behaves the way
         #  we want.
         result = mask_zero_div_zero(right, left, result)

pandas/plotting/_matplotlib/converter.py

@@ -387,12 +387,12 @@ def __call__(self):
         except ValueError:
             return []
 
-        if dmin > dmax:
-            dmax, dmin = dmin, dmax
         # We need to cap at the endpoints of valid datetime
 
         # FIXME: dont leave commented-out
         # TODO(wesm) unused?
+        # if dmin > dmax:
+        #     dmax, dmin = dmin, dmax
         # delta = relativedelta(dmax, dmin)
         # try:
         #     start = dmin - delta

scripts/validate_docstrings.py

@@ -965,7 +965,7 @@ def header(title, width=80, char="#"):
                     "]{text}\n"
                 )
             else:
-                raise ValueError('Unknown output_format "{}"'.format(output_format))
+                raise ValueError(f'Unknown output_format "{output_format}"')
 
             output = ""
             for name, res in result.items():
@@ -977,11 +977,10 @@ def header(title, width=80, char="#"):
                         continue
                     exit_status += 1
                     output += output_format.format(
-                        name=name,
                         path=res["file"],
                         row=res["file_line"],
                         code=err_code,
-                        text="{}: {}".format(name, err_desc),
+                        text=f"{name}: {err_desc}",
                     )
 
         sys.stdout.write(output)