I’d put in a PR but I’m on mobile. Should we bring in the requirements.txt from fastbook as well?

note books have rows and cols but should be nrows and ncols would change myself have done so in my local clone. how to get them back as they may have unwanted outputs!!
02, 05,06 are affected notebooks

FYI (I know it was just migrated), but anything under the images directory will throw issues. If you don’t want them there, how would it best help you guys for editing and fixing up the notebooks? I’ll gladly help out

Hi,

When I'm trying to run the tabular data example from 01_intro.ipynb I get an error "'str' object has no attribute 'shape'". The stack trace seems to point to a panda error as you can see in the following screenshot:

Unable to import : from fastai2.vision.all import *

RuntimeError Traceback (most recent call last)
in
----> 1 from fastai2.vision.all import *

~/.local/lib/python3.8/site-packages/fastai2/vision/all.py in
----> 1 from ..basics import *
2 from ..callback.all import *
3 from .augment import *
4 from .core import *
5 from .data import *

~/.local/lib/python3.8/site-packages/fastai2/basics.py in
----> 1 from .data.all import *
2 from .optimizer import *
3 from .callback.core import *
4 from .learner import *
5 from .metrics import *

~/.local/lib/python3.8/site-packages/fastai2/data/all.py in
----> 1 from ..torch_basics import *
2 from .core import *
3 from .load import *
4 from .external import *
5 from .transforms import *

~/.local/lib/python3.8/site-packages/fastai2/torch_basics.py in
2 from .imports import *
3 from .torch_imports import *
----> 4 from .torch_core import *
5 from .layers import *

~/.local/lib/python3.8/site-packages/fastai2/torch_core.py in
284 setattr(TensorBase, fn, get_f(fn))
285
--> 286 _patch_tb()
287
288 # Cell

~/.local/lib/python3.8/site-packages/fastai2/torch_core.py in _patch_tb()
280 for fn in dir(t):
281 if fn in skips: continue
--> 282 f = getattr(t, fn)
283 if isinstance(f, (MethodWrapperType, BuiltinFunctionType, BuiltinMethodType, MethodType, FunctionType)):
284 setattr(TensorBase, fn, get_f(fn))

RuntimeError: imag is not implemented for tensors with non-complex dtypes.