pn.widgets not working in a list #697
Description
Hi, I'm trying out the hvplot .interactive. I got TypeError: 'RadioButtonGroup' object is not callable for the following code, I think it's because I can't write my xaxis in a list. It works if I change .groupby(['origin', xaxis]) to .groupby(xaxis), but it'd be nice if pn.widgets can work in a list. I'd really appreciate some help. Thanks!
from bokeh.sampledata.autompg import autompg_clean as df
import hvplot.pandas
import panel as pn
import holoviews as hv
hv.extension('bokeh')
idf = df.interactive()
cylinders = pn.widgets.IntSlider(start=4, end=8, step=2)
mfr = pn.widgets.ToggleGroup(options=['ford', 'chevrolet', 'plymouth', 'honda', 'sbaru', 'volkswagen'],
value=['ford', 'chevrolet', 'plymouth', 'honda', 'sbaru', 'volkswagen'])
xaxis = pn.widgets.RadioButtonGroup(name='X axis', options=['mpg', 'yr'])
yaxis = pn.widgets.RadioButtonGroup(name='Y axis', options=['hp', 'weight'])
ipipeline = (
idf[
(idf.cyl == cylinders) &
(idf.mfr.isin(mfr))
]
.groupby(['origin', xaxis])[yaxis].mean()
.to_frame()
.reset_index()
)
Traceback
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/var/folders/n9/dr352bs550nck1fg2mz9vpn80000gn/T/ipykernel_46537/1739249479.py in <module>
12
13 ipipeline = (
---> 14 idf[
15 (idf.cyl == cylinders) &
16 (idf.mfr.isin(mfr))
/opt/anaconda3/envs/p39/lib/python3.9/site-packages/hvplot/interactive.py in __call__(self, *args, **kwargs)
185 accessor=True)
186 kwargs = dict(self._inherit_kwargs, **kwargs)
--> 187 clone = self._clone(method(*args, **kwargs), plot=self._method == 'plot')
188 finally:
189 self._method = None
/opt/anaconda3/envs/p39/lib/python3.9/site-packages/hvplot/interactive.py in _clone(self, transform, plot, loc, center, dmap, **kwargs)
114 depth = self._depth+1
115 kwargs = dict(self._inherit_kwargs, **dict(self._kwargs, **kwargs))
--> 116 return type(self)(self._obj, transform, plot, depth,
117 loc, center, dmap, **kwargs)
118
/opt/anaconda3/envs/p39/lib/python3.9/site-packages/hvplot/interactive.py in __init__(self, obj, transform, plot, depth, loc, center, dmap, inherit_kwargs, max_rows, **kwargs)
84 self._kwargs = kwargs
85 ds = hv.Dataset(self._obj)
---> 86 self._current = self._transform.apply(ds, keep_index=True, compute=False)
87 self._init = True
88
/opt/anaconda3/envs/p39/lib/python3.9/site-packages/holoviews/util/transform.py in apply(self, dataset, flat, expanded, ranges, all_values, keep_index, compute, strict)
736 drange = ranges.get(eldim, {})
737 drange = drange.get('combined', drange)
--> 738 data = self._apply_fn(dataset, data, fn, fn_name, args,
739 kwargs, accessor, drange)
740 drop_index = keep_index_for_compute and not keep_index
/opt/anaconda3/envs/p39/lib/python3.9/site-packages/holoviews/util/transform.py in _apply_fn(self, dataset, data, fn, fn_name, args, kwargs, accessor, drange)
634 data = method(*args, **kwargs)
635 else:
--> 636 raise e
637 else:
638 data = fn(*args, **kwargs)
/opt/anaconda3/envs/p39/lib/python3.9/site-packages/holoviews/util/transform.py in _apply_fn(self, dataset, data, fn, fn_name, args, kwargs, accessor, drange)
628 else:
629 try:
--> 630 data = method(*args, **kwargs)
631 except Exception as e:
632 if 'axis' in kwargs:
/opt/anaconda3/envs/p39/lib/python3.9/site-packages/pandas/core/frame.py in groupby(self, by, axis, level, as_index, sort, group_keys, squeeze, observed, dropna)
7624 # error: Argument "squeeze" to "DataFrameGroupBy" has incompatible type
7625 # "Union[bool, NoDefault]"; expected "bool"
-> 7626 return DataFrameGroupBy(
7627 obj=self,
7628 keys=by,
/opt/anaconda3/envs/p39/lib/python3.9/site-packages/pandas/core/groupby/groupby.py in __init__(self, obj, keys, axis, level, grouper, exclusions, selection, as_index, sort, group_keys, squeeze, observed, mutated, dropna)
886 from pandas.core.groupby.grouper import get_grouper
887
--> 888 grouper, exclusions, obj = get_grouper(
889 obj,
890 keys,
/opt/anaconda3/envs/p39/lib/python3.9/site-packages/pandas/core/groupby/grouper.py in get_grouper(obj, key, axis, level, sort, observed, mutated, validate, dropna)
875 # allow us to passing the actual Grouping as the gpr
876 ping = (
--> 877 Grouping(
878 group_axis,
879 gpr,
/opt/anaconda3/envs/p39/lib/python3.9/site-packages/pandas/core/groupby/grouper.py in __init__(self, index, grouper, obj, level, sort, observed, in_axis, dropna)
533 raise ValueError(f"Grouper for '{t}' not 1-dimensional")
534
--> 535 self.grouping_vector = index.map(self.grouping_vector)
536
537 if not (
/opt/anaconda3/envs/p39/lib/python3.9/site-packages/pandas/core/indexes/base.py in map(self, mapper, na_action)
5505 from pandas.core.indexes.multi import MultiIndex
5506
-> 5507 new_values = self._map_values(mapper, na_action=na_action)
5508
5509 attributes = self._get_attributes_dict()
/opt/anaconda3/envs/p39/lib/python3.9/site-packages/pandas/core/base.py in _map_values(self, mapper, na_action)
868
869 # mapper is a function
--> 870 new_values = map_f(values, mapper)
871
872 return new_values
/opt/anaconda3/envs/p39/lib/python3.9/site-packages/pandas/_libs/lib.pyx in pandas._libs.lib.map_infer()
TypeError: 'RadioButtonGroup' object is not callable