Hi,
I am trying to use the ‘mne.time_frequency.tfr_multitaper’ command for EEG data time-frequency analysis. After running the grand average command, I want to view the topographic map. However, the following error occurred:
TypeError: ‘clipbox’ must be an instance of matplotlib.transforms.BboxBase or None, not a tuple
Thanks,
Jaye
File ~\AppData\Roaming\Python\Python311\site-packages\mne\time_frequency\tfr.py:2446, in AverageTFR.plot_topo(***failed resolving arguments***)
2430 click_fun = partial(
2431 _imshow_tfr,
2432 tfr=data,
(...)
2436 onselect=onselect_callback,
2437 )
2438 imshow = partial(
2439 _imshow_tfr_unified,
2440 tfr=data,
(...)
2443 onselect=onselect_callback,
2444 )
-> 2446 fig = _plot_topo(
2447 info=info,
2448 times=times,
2449 show_func=imshow,
2450 click_func=click_fun,
2451 layout=layout,
2452 colorbar=colorbar,
2453 vmin=vmin,
2454 vmax=vmax,
2455 cmap=cmap,
2456 layout_scale=layout_scale,
2457 title=title,
2458 border=border,
2459 x_label="Time (s)",
2460 y_label="Frequency (Hz)",
2461 fig_facecolor=fig_facecolor,
2462 font_color=font_color,
2463 unified=True,
2464 img=True,
2465 )
2467 add_background_image(fig, fig_background)
2468 plt_show(show)
File ~\AppData\Roaming\Python\Python311\site-packages\mne\viz\topo.py:334, in _plot_topo(info, times, show_func, click_func, layout, vmin, vmax, ylim, colorbar, border, axis_facecolor, fig_facecolor, cmap, layout_scale, title, x_label, y_label, font_color, unified, img, axes)
331 else:
332 ylim_ = ylim
--> 334 show_func(ax, ch_idx, tmin=tmin, tmax=tmax, vmin=vmin, vmax=vmax, ylim=ylim_)
336 if title is not None:
337 plt.figtext(0.03, 0.95, title, color=font_color, fontsize=15, va="top")
File ~\AppData\Roaming\Python\Python311\site-packages\mne\viz\topo.py:496, in _imshow_tfr_unified(bn, ch_idx, tmin, tmax, vmin, vmax, onselect, ylim, tfr, freq, vline, x_label, y_label, colorbar, picker, cmap, title, hline)
488 data_lines = bn.data_lines
489 extent = (
490 bn.x_t + bn.x_s * tmin,
491 bn.x_t + bn.x_s * tmax,
492 bn.y_t + bn.y_s * freq[0],
493 bn.y_t + bn.y_s * freq[-1],
494 )
495 data_lines.append(
--> 496 ax.imshow(
497 tfr[ch_idx],
498 clip_on=True,
499 clip_box=tuple(bn.pos),
500 extent=extent,
501 aspect="auto",
502 origin="lower",
503 vmin=vmin,
504 vmax=vmax,
505 cmap=cmap,
506 )
507 )
File ~\AppData\Roaming\Python\Python311\site-packages\matplotlib\__init__.py:1478, in _preprocess_data.<locals>.inner(ax, data, *args, **kwargs)
1475 @functools.wraps(func)
1476 def inner(ax, *args, data=None, **kwargs):
1477 if data is None:
-> 1478 return func(ax, *map(sanitize_sequence, args), **kwargs)
1480 bound = new_sig.bind(ax, *args, **kwargs)
1481 auto_label = (bound.arguments.get(label_namer)
1482 or bound.kwargs.get(label_namer))
File ~\AppData\Roaming\Python\Python311\site-packages\matplotlib\axes\_axes.py:5737, in Axes.imshow(self, X, cmap, norm, aspect, interpolation, alpha, vmin, vmax, origin, extent, interpolation_stage, filternorm, filterrad, resample, url, **kwargs)
5532 @_preprocess_data()
5533 @_docstring.interpd
5534 def imshow(self, X, cmap=None, norm=None, *, aspect=None,
(...)
5537 interpolation_stage=None, filternorm=True, filterrad=4.0,
5538 resample=None, url=None, **kwargs):
5539 """
5540 Display data as an image, i.e., on a 2D regular raster.
5541
(...)
5735 (unassociated) alpha representation.
5736 """
-> 5737 im = mimage.AxesImage(self, cmap=cmap, norm=norm,
5738 interpolation=interpolation, origin=origin,
5739 extent=extent, filternorm=filternorm,
5740 filterrad=filterrad, resample=resample,
5741 interpolation_stage=interpolation_stage,
5742 **kwargs)
5744 if aspect is None and not (
5745 im.is_transform_set()
5746 and not im.get_transform().contains_branch(self.transData)):
5747 aspect = mpl.rcParams['image.aspect']
File ~\AppData\Roaming\Python\Python311\site-packages\matplotlib\image.py:912, in AxesImage.__init__(self, ax, cmap, norm, interpolation, origin, extent, filternorm, filterrad, resample, interpolation_stage, **kwargs)
896 def __init__(self, ax,
897 *,
898 cmap=None,
(...)
907 **kwargs
908 ):
910 self._extent = extent
--> 912 super().__init__(
913 ax,
914 cmap=cmap,
915 norm=norm,
916 interpolation=interpolation,
917 origin=origin,
918 filternorm=filternorm,
919 filterrad=filterrad,
920 resample=resample,
921 interpolation_stage=interpolation_stage,
922 **kwargs
923 )
File ~\AppData\Roaming\Python\Python311\site-packages\matplotlib\image.py:275, in _ImageBase.__init__(self, ax, cmap, norm, interpolation, origin, filternorm, filterrad, resample, interpolation_stage, **kwargs)
271 self.axes = ax
273 self._imcache = None
--> 275 self._internal_update(kwargs)
File ~\AppData\Roaming\Python\Python311\site-packages\matplotlib\artist.py:1219, in Artist._internal_update(self, kwargs)
1212 def _internal_update(self, kwargs):
1213 """
1214 Update artist properties without prenormalizing them, but generating
1215 errors as if calling `set`.
1216
1217 The lack of prenormalization is to maintain backcompatibility.
1218 """
-> 1219 return self._update_props(
1220 kwargs, "{cls.__name__}.set() got an unexpected keyword argument "
1221 "{prop_name!r}")
File ~\AppData\Roaming\Python\Python311\site-packages\matplotlib\artist.py:1195, in Artist._update_props(self, props, errfmt)
1192 if not callable(func):
1193 raise AttributeError(
1194 errfmt.format(cls=type(self), prop_name=k))
-> 1195 ret.append(func(v))
1196 if ret:
1197 self.pchanged()
File ~\AppData\Roaming\Python\Python311\site-packages\matplotlib\artist.py:766, in Artist.set_clip_box(self, clipbox)
754 def set_clip_box(self, clipbox):
755 """
756 Set the artist's clip `.Bbox`.
757
(...)
764
765 """
--> 766 _api.check_isinstance((BboxBase, None), clipbox=clipbox)
767 if clipbox != self.clipbox:
768 self.clipbox = clipbox
File ~\AppData\Roaming\Python\Python311\site-packages\matplotlib\_api\__init__.py:91, in check_isinstance(types, **kwargs)
89 names.remove("None")
90 names.append("None")
---> 91 raise TypeError(
92 "{!r} must be an instance of {}, not a {}".format(
93 k,
94 ", ".join(names[:-1]) + " or " + names[-1]
95 if len(names) > 1 else names[0],
96 type_name(type(v))))
TypeError: 'clipbox' must be an instance of matplotlib.transforms.BboxBase or None, not a tuple
What version of MNE are you using? I think this was a bug that has been fixed, but you’ll need to update to the development version of MNE, or wait for the next stable version to be released. See
this answer
Hi,
I used MNE version 1.5.1 and followed the steps to install git+https://github.com/mne-tools/mne-python.git@maint/1.5, but the problem persists.
Hi, the problem was solved after I used: !pip install --upgrade git+https://github.com/mne-tools/mne-python@main.
Thanks for the help.