When I run dls.valid.show_batch(max_n=4, rows=1) in the lesson two notebook, I receive a lengthy error that ends with AttributeError: 'AxesImage' object has no property 'rows' (full error message included at the bottom of the post.
This error repeats for cells that use the training set or the validation set.
I’m able to get around the error by removing the row=x argument from the cell, at which point I can run all of the cells and obtain an output consistent with what’s shown in the text.
Is this intended behavior, or am I missing something on my end?
Full error message:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-22-d24c61455493> in <module>
----> 1 dls.valid.show_batch(max_n=4, rows=1)
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/core.py in show_batch(self, b, max_n, ctxs, show, **kwargs)
90 if b is None: b = self.one_batch()
91 if not show: return self._pre_show_batch(b, max_n=max_n)
---> 92 show_batch(*self._pre_show_batch(b, max_n=max_n), ctxs=ctxs, max_n=max_n, **kwargs)
93
94 def show_results(self, b, out, max_n=9, ctxs=None, show=True, **kwargs):
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastcore/dispatch.py in __call__(self, *args, **kwargs)
96 if not f: return args[0]
97 if self.inst is not None: f = MethodType(f, self.inst)
---> 98 return f(*args, **kwargs)
99
100 def __get__(self, inst, owner):
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/vision/data.py in show_batch(x, y, samples, ctxs, max_n, nrows, ncols, figsize, **kwargs)
43 def show_batch(x:TensorImage, y, samples, ctxs=None, max_n=10, nrows=None, ncols=None, figsize=None, **kwargs):
44 if ctxs is None: ctxs = get_grid(min(len(samples), max_n), nrows=nrows, ncols=ncols, figsize=figsize)
---> 45 ctxs = show_batch[object](x, y, samples, ctxs=ctxs, max_n=max_n, **kwargs)
46 return ctxs
47
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/core.py in show_batch(x, y, samples, ctxs, max_n, **kwargs)
13 if ctxs is None: ctxs = Inf.nones
14 for i in range_of(samples[0]):
---> 15 ctxs = [b.show(ctx=c, **kwargs) for b,c,_ in zip(samples.itemgot(i),ctxs,range(max_n))]
16 return ctxs
17
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/data/core.py in <listcomp>(.0)
13 if ctxs is None: ctxs = Inf.nones
14 for i in range_of(samples[0]):
---> 15 ctxs = [b.show(ctx=c, **kwargs) for b,c,_ in zip(samples.itemgot(i),ctxs,range(max_n))]
16 return ctxs
17
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/torch_core.py in show(self, ctx, **kwargs)
296 _show_args = ArrayImageBase._show_args
297 def show(self, ctx=None, **kwargs):
--> 298 return show_image(self, ctx=ctx, **{**self._show_args, **kwargs})
299
300 # Cell
/opt/conda/envs/fastai/lib/python3.7/site-packages/fastai2/torch_core.py in show_image(im, ax, figsize, title, ctx, **kwargs)
52 if figsize is None: figsize = (_fig_bounds(im.shape[0]), _fig_bounds(im.shape[1]))
53 if ax is None: _,ax = plt.subplots(figsize=figsize)
---> 54 ax.imshow(im, **kwargs)
55 if title is not None: ax.set_title(title)
56 ax.axis('off')
/opt/conda/envs/fastai/lib/python3.7/site-packages/matplotlib/__init__.py in inner(ax, data, *args, **kwargs)
1541 def inner(ax, *args, data=None, **kwargs):
1542 if data is None:
-> 1543 return func(ax, *map(sanitize_sequence, args), **kwargs)
1544
1545 bound = new_sig.bind(ax, *args, **kwargs)
/opt/conda/envs/fastai/lib/python3.7/site-packages/matplotlib/cbook/deprecation.py in wrapper(*args, **kwargs)
356 f"%(removal)s. If any parameter follows {name!r}, they "
357 f"should be pass as keyword, not positionally.")
--> 358 return func(*args, **kwargs)
359
360 return wrapper
/opt/conda/envs/fastai/lib/python3.7/site-packages/matplotlib/cbook/deprecation.py in wrapper(*args, **kwargs)
356 f"%(removal)s. If any parameter follows {name!r}, they "
357 f"should be pass as keyword, not positionally.")
--> 358 return func(*args, **kwargs)
359
360 return wrapper
/opt/conda/envs/fastai/lib/python3.7/site-packages/matplotlib/axes/_axes.py in imshow(self, X, cmap, norm, aspect, interpolation, alpha, vmin, vmax, origin, extent, shape, filternorm, filterrad, imlim, resample, url, **kwargs)
5611 im = mimage.AxesImage(self, cmap, norm, interpolation, origin, extent,
5612 filternorm=filternorm, filterrad=filterrad,
-> 5613 resample=resample, **kwargs)
5614
5615 im.set_data(X)
/opt/conda/envs/fastai/lib/python3.7/site-packages/matplotlib/image.py in __init__(self, ax, cmap, norm, interpolation, origin, extent, filternorm, filterrad, resample, **kwargs)
897 filterrad=filterrad,
898 resample=resample,
--> 899 **kwargs
900 )
901
/opt/conda/envs/fastai/lib/python3.7/site-packages/matplotlib/image.py in __init__(self, ax, cmap, norm, interpolation, origin, filternorm, filterrad, resample, **kwargs)
259 self._imcache = None
260
--> 261 self.update(kwargs)
262
263 def __getstate__(self):
/opt/conda/envs/fastai/lib/python3.7/site-packages/matplotlib/artist.py in update(self, props)
1004
1005 with cbook._setattr_cm(self, eventson=False):
-> 1006 ret = [_update_property(self, k, v) for k, v in props.items()]
1007
1008 if len(ret):
/opt/conda/envs/fastai/lib/python3.7/site-packages/matplotlib/artist.py in <listcomp>(.0)
1004
1005 with cbook._setattr_cm(self, eventson=False):
-> 1006 ret = [_update_property(self, k, v) for k, v in props.items()]
1007
1008 if len(ret):
/opt/conda/envs/fastai/lib/python3.7/site-packages/matplotlib/artist.py in _update_property(self, k, v)
1000 if not callable(func):
1001 raise AttributeError('{!r} object has no property {!r}'
-> 1002 .format(type(self).__name__, k))
1003 return func(v)
1004
AttributeError: 'AxesImage' object has no property 'rows'
