Calculation angle error，My version is 0.07

[wyclearnpy]

I saw someone asked this question
TypeError Traceback (most recent call last)
File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\groupby\groupby.py:1824, in GroupBy.apply(self, func, include_groups, *args, **kwargs)
1823 try:
-> 1824 result = self._python_apply_general(f, self._selected_obj)
1825 if (
1826 not isinstance(self.obj, Series)
1827 and self._selection is None
1828 and self._selected_obj.shape != self._obj_with_exclusions.shape
1829 ):

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\groupby\groupby.py:1885, in GroupBy._python_apply_general(self, f, data, not_indexed_same, is_transform, is_agg)
1859 """
1860 Apply function f in python space
1861
(...)
1883 data after applying f
1884 """
-> 1885 values, mutated = self._grouper.apply_groupwise(f, data, self.axis)
1886 if not_indexed_same is None:

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\groupby\ops.py:919, in BaseGrouper.apply_groupwise(self, f, data, axis)
918 group_axes = group.axes
--> 919 res = f(group)
920 if not mutated and not _is_indexed_like(res, group_axes, axis):

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\groupby\groupby.py:1809, in GroupBy.apply..f(g)
1807 @wraps(func)
1808 def f(g):
-> 1809 return func(g, *args, **kwargs)

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\dlc2kinematics\joint_analysis.py:104, in compute_joint_angles..filter_low_prob(cols, prob)
103 mask = cols.iloc[:, 2] < prob
--> 104 cols.loc[mask, :2] = np.nan
105 return cols

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\indexing.py:907, in _LocationIndexer.setitem(self, key, value)
906 key = self._check_deprecated_callable_usage(key, maybe_callable)
--> 907 indexer = self._get_setitem_indexer(key)
908 self._has_valid_setitem_indexer(key)

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\indexing.py:774, in _LocationIndexer._get_setitem_indexer(self, key)
772 with suppress(IndexingError):
773 # suppress "Too many indexers"
--> 774 return self._convert_tuple(key)
776 if isinstance(key, range):
777 # GH#45479 test_loc_setitem_range_key

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\indexing.py:989, in _LocationIndexer._convert_tuple(self, key)
988 self._validate_key_length(key)
--> 989 keyidx = [self._convert_to_indexer(k, axis=i) for i, k in enumerate(key)]
990 return tuple(keyidx)

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\indexing.py:989, in (.0)
988 self._validate_key_length(key)
--> 989 keyidx = [self._convert_to_indexer(k, axis=i) for i, k in enumerate(key)]
990 return tuple(keyidx)

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\indexing.py:1470, in _LocIndexer._convert_to_indexer(self, key, axis)
1469 if isinstance(key, slice):
-> 1470 return labels._convert_slice_indexer(key, kind="loc")
1472 if (
1473 isinstance(key, tuple)
1474 and not isinstance(labels, MultiIndex)
1475 and self.ndim < 2
1476 and len(key) > 1
1477 ):

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\indexes\base.py:4275, in Index._convert_slice_indexer(self, key, kind)
4273 if kind == "loc":
4274 # GH#16121, GH#24612, GH#31810
-> 4275 raise TypeError(
4276 "Slicing a positional slice with .loc is not allowed, "
4277 "Use .loc with labels or .iloc with positions instead.",
4278 )
4279 indexer = key

TypeError: Slicing a positional slice with .loc is not allowed, Use .loc with labels or .iloc with positions instead.

During handling of the above exception, another exception occurred:

TypeError Traceback (most recent call last)
Cell In[5], line 1
----> 1 joint_angles = dlc2kinematics.compute_joint_angles(df,joints_dict,
2 dropnan=True, smooth=True, save=False)
3 #you may want to set save=True once you settle on this; so you don't have to recompute.
4
5 #plot:
6 dlc2kinematics.plot_joint_angles(joint_angles)

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\dlc2kinematics\joint_analysis.py:107, in compute_joint_angles(df, joints_dict, save, destfolder, output_filename, dropnan, smooth, filter_window, order, pcutoff)
104 cols.loc[mask, :2] = np.nan
105 return cols
--> 107 df = df.groupby("bodyparts", axis=1).apply(filter_low_prob, prob=pcutoff)
109 angle_names = list(joints_dict)
110 if not destfolder:

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\groupby\groupby.py:1846, in GroupBy.apply(self, func, include_groups, *args, **kwargs)
1830 warnings.warn(
1831 message=_apply_groupings_depr.format(
1832 type(self).name, "apply"
(...)
1835 stacklevel=find_stack_level(),
1836 )
1837 except TypeError:
1838 # gh-20949
1839 # try again, with .apply acting as a filtering
(...)
1843 # fails on some columns, e.g. a numeric operation
1844 # on a string grouper column
-> 1846 return self._python_apply_general(f, self._obj_with_exclusions)
1848 return result

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\groupby\groupby.py:1885, in GroupBy._python_apply_general(self, f, data, not_indexed_same, is_transform, is_agg)
1850 @Final
1851 def _python_apply_general(
1852 self,
(...)
1857 is_agg: bool = False,
1858 ) -> NDFrameT:
1859 """
1860 Apply function f in python space
1861
(...)
1883 data after applying f
1884 """
-> 1885 values, mutated = self._grouper.apply_groupwise(f, data, self.axis)
1886 if not_indexed_same is None:
1887 not_indexed_same = mutated

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\groupby\ops.py:919, in BaseGrouper.apply_groupwise(self, f, data, axis)
917 # group might be modified
918 group_axes = group.axes
--> 919 res = f(group)
920 if not mutated and not _is_indexed_like(res, group_axes, axis):
921 mutated = True

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\groupby\groupby.py:1809, in GroupBy.apply..f(g)
1807 @wraps(func)
1808 def f(g):
-> 1809 return func(g, *args, **kwargs)

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\dlc2kinematics\joint_analysis.py:104, in compute_joint_angles..filter_low_prob(cols, prob)
102 def filter_low_prob(cols, prob):
103 mask = cols.iloc[:, 2] < prob
--> 104 cols.loc[mask, :2] = np.nan
105 return cols

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\indexing.py:907, in _LocationIndexer.setitem(self, key, value)
905 maybe_callable = com.apply_if_callable(key, self.obj)
906 key = self._check_deprecated_callable_usage(key, maybe_callable)
--> 907 indexer = self._get_setitem_indexer(key)
908 self._has_valid_setitem_indexer(key)
910 iloc = self if self.name == "iloc" else self.obj.iloc

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\indexing.py:774, in _LocationIndexer._get_setitem_indexer(self, key)
771 if isinstance(key, tuple):
772 with suppress(IndexingError):
773 # suppress "Too many indexers"
--> 774 return self._convert_tuple(key)
776 if isinstance(key, range):
777 # GH#45479 test_loc_setitem_range_key
778 key = list(key)

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\indexing.py:989, in _LocationIndexer._convert_tuple(self, key)
985 @Final
986 def _convert_tuple(self, key: tuple) -> tuple:
987 # Note: we assume _tupleize_axis_indexer has been called, if necessary.
988 self._validate_key_length(key)
--> 989 keyidx = [self._convert_to_indexer(k, axis=i) for i, k in enumerate(key)]
990 return tuple(keyidx)

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\indexing.py:989, in (.0)
985 @Final
986 def _convert_tuple(self, key: tuple) -> tuple:
987 # Note: we assume _tupleize_axis_indexer has been called, if necessary.
988 self._validate_key_length(key)
--> 989 keyidx = [self._convert_to_indexer(k, axis=i) for i, k in enumerate(key)]
990 return tuple(keyidx)

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\indexing.py:1470, in _LocIndexer._convert_to_indexer(self, key, axis)
1467 labels = self.obj._get_axis(axis)
1469 if isinstance(key, slice):
-> 1470 return labels._convert_slice_indexer(key, kind="loc")
1472 if (
1473 isinstance(key, tuple)
1474 and not isinstance(labels, MultiIndex)
1475 and self.ndim < 2
1476 and len(key) > 1
1477 ):
1478 raise IndexingError("Too many indexers")

File D:\anaconda\envs\DEEPLABCUT\lib\site-packages\pandas\core\indexes\base.py:4275, in Index._convert_slice_indexer(self, key, kind)
4272 elif is_positional:
4273 if kind == "loc":
4274 # GH#16121, GH#24612, GH#31810
-> 4275 raise TypeError(
4276 "Slicing a positional slice with .loc is not allowed, "
4277 "Use .loc with labels or .iloc with positions instead.",
4278 )
4279 indexer = key
4280 else:

TypeError: Slicing a positional slice with .loc is not allowed, Use .loc with labels or .iloc with positions instead.