Arguments are not passed to custom plotter

[felixsc1]

As I see this (I might be wrong), when specifying the plotting_func the widget creates internally a new figure in any case, and passing then a custom figure handle as argument creates an error.

from niwidgets import NiftiWidget
import nilearn.plotting as nip

my_widget = NiftiWidget(img)
# my_widget.nifti_plotter(figsize=(10,20))

fig, axes = plt.subplots(1, 3, figsize=(5, 10))
my_widget.nifti_plotter(plotting_func=nip.plot_img, colormap=None, figsize=(5, 10),
                        figure=fig,
                        axes = axes)

The default case works fine, the img is shown as 3 axes and the figsize can be adjusted. To get more control over the figure and axes, I used the function call shown above but get the follow error message:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-92-a281499c2288> in <module>()
     33 my_widget.nifti_plotter(plotting_func=nip.plot_img, colormap=None, figsize=(5, 10),
     34                         figure=fig,
---> 35                         axes = axes
     36                        )

~/anaconda3/lib/python3.6/site-packages/niwidgets/niwidget_volume.py in nifti_plotter(self, plotting_func, colormap, figsize, **kwargs)
     83             self._default_plotter(**kwargs)
     84         else:
---> 85             self._custom_plotter(plotting_func, **kwargs)
     86 
     87     def _default_plotter(self, mask_background=False, **kwargs):

~/anaconda3/lib/python3.6/site-packages/niwidgets/niwidget_volume.py in _custom_plotter(self, plotting_func, **kwargs)
    241 
    242         # Create the widget:
--> 243         interact(self._custom_plot_wrapper, data=fixed(self.data), **kwargs)
    244         plt.ion()
    245 

~/anaconda3/lib/python3.6/site-packages/ipywidgets/widgets/interaction.py in __call__(self, _InteractFactory__interact_f, **kwargs)
    521         #    def f(*args, **kwargs):
    522         #        ...
--> 523         w = self.widget(f)
    524         try:
    525             f.widget = w

~/anaconda3/lib/python3.6/site-packages/ipywidgets/widgets/interaction.py in widget(self, f)
    437             The function to which the interactive widgets are tied.
    438         """
--> 439         return self.cls(f, self.opts, **self.kwargs)
    440 
    441     def __call__(self, __interact_f=None, **kwargs):

~/anaconda3/lib/python3.6/site-packages/ipywidgets/widgets/interaction.py in __init__(self, _interactive__interact_f, _interactive__options, **kwargs)
    193             getcallargs(f, **{n:v for n,v,_ in new_kwargs})
    194         # Now build the widgets from the abbreviations.
--> 195         self.kwargs_widgets = self.widgets_from_abbreviations(new_kwargs)
    196 
    197         # This has to be done as an assignment, not using self.children.append,

~/anaconda3/lib/python3.6/site-packages/ipywidgets/widgets/interaction.py in widgets_from_abbreviations(self, seq)
    293             if not (isinstance(widget, ValueWidget) or isinstance(widget, fixed)):
    294                 if widget is None:
--> 295                     raise ValueError("{!r} cannot be transformed to a widget".format(abbrev))
    296                 else:
    297                     raise TypeError("{!r} is not a ValueWidget".format(widget))

ValueError: <Figure size 360x720 with 0 Axes> cannot be transformed to a widget

<Figure size 360x720 with 0 Axes>

When passing only the axes handles, the error is

AssertionError: The axes passed are not in the figure

[felixsc1]

I play around more with nip.plot_img() first. It seems subplots are not accepted anyways