+ 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
