+ cat + /usr/local/bin/python3.9 test.py Traceback (most recent call last): File "/usr/local/lib/python3.9/site-packages/pandas/core/groupby/groupby.py", line 1490, in array_func result = self.grouper._cython_operation( File "/usr/local/lib/python3.9/site-packages/pandas/core/groupby/ops.py", line 959, in _cython_operation return cy_op.cython_operation( File "/usr/local/lib/python3.9/site-packages/pandas/core/groupby/ops.py", line 657, in cython_operation return self._cython_op_ndim_compat( File "/usr/local/lib/python3.9/site-packages/pandas/core/groupby/ops.py", line 482, in _cython_op_ndim_compat res = self._call_cython_op( File "/usr/local/lib/python3.9/site-packages/pandas/core/groupby/ops.py", line 541, in _call_cython_op func = self._get_cython_function(self.kind, self.how, values.dtype, is_numeric) File "/usr/local/lib/python3.9/site-packages/pandas/core/groupby/ops.py", line 173, in _get_cython_function raise NotImplementedError( NotImplementedError: function is not implemented for this dtype: [how->mean,dtype->object]
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "/usr/local/lib/python3.9/site-packages/pandas/core/nanops.py", line 1692, in _ensure_numeric x = float(x) ValueError: could not convert string to float: '(G(F(p0))) & (G(F(p1)))!((G(F(p0))) & (G(F(p1))))(G(F(p0))) -> (G(F(p1)))!((G(F(p0))) -> (G(F(p1))))'
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "/usr/local/lib/python3.9/site-packages/pandas/core/nanops.py", line 1696, in _ensure_numeric x = complex(x) ValueError: complex() arg is a malformed string
The above exception was the direct cause of the following exception:
Traceback (most recent call last): File "/usr/ports/math/spot/work/spot-2.11.5/tests/core/ltlcross4.dir/test.py", line 12, in <module> print(x.filter(('formula', 'tool', File "/usr/local/lib/python3.9/site-packages/pandas/core/groupby/generic.py", line 1269, in aggregate result = op.agg() File "/usr/local/lib/python3.9/site-packages/pandas/core/apply.py", line 166, in agg return self.agg_list_like() File "/usr/local/lib/python3.9/site-packages/pandas/core/apply.py", line 355, in agg_list_like new_res = colg.aggregate(arg, *self.args, **self.kwargs) File "/usr/local/lib/python3.9/site-packages/pandas/core/groupby/generic.py", line 238, in aggregate ret = self._aggregate_multiple_funcs(func, *args, **kwargs) File "/usr/local/lib/python3.9/site-packages/pandas/core/groupby/generic.py", line 316, in _aggregate_multiple_funcs results[key] = self.aggregate(func, *args, **kwargs) File "/usr/local/lib/python3.9/site-packages/pandas/core/groupby/generic.py", line 250, in aggregate return getattr(self, cyfunc)() File "/usr/local/lib/python3.9/site-packages/pandas/core/groupby/groupby.py", line 1855, in mean result = self._cython_agg_general( File "/usr/local/lib/python3.9/site-packages/pandas/core/groupby/groupby.py", line 1507, in _cython_agg_general new_mgr = data.grouped_reduce(array_func) File "/usr/local/lib/python3.9/site-packages/pandas/core/internals/base.py", line 197, in grouped_reduce res = func(arr) File "/usr/local/lib/python3.9/site-packages/pandas/core/groupby/groupby.py", line 1503, in array_func result = self._agg_py_fallback(values, ndim=data.ndim, alt=alt) File "/usr/local/lib/python3.9/site-packages/pandas/core/groupby/groupby.py", line 1457, in _agg_py_fallback res_values = self.grouper.agg_series(ser, alt, preserve_dtype=True) File "/usr/local/lib/python3.9/site-packages/pandas/core/groupby/ops.py", line 994, in agg_series result = self._aggregate_series_pure_python(obj, func)
Version: 2.11.5
FreeBSD 13.2
Yuri
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