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.