Array columns error in Jupyter notebook and lab

On astropy version: 4.3.dev1429+ga832159 and 4.3.dev1484+g3f8cf27b8, in a jupyter lab environment, putting a particular table as the only item in a Jupyter Lab cell results in the following traceback and printed out table (MWE):

import numpy as np
from astropy.table import Table
Table([np.ones([10,10]), np.arange(10)])

results in both

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
~/anaconda3/lib/python3.7/site-packages/IPython/core/formatters.py in __call__(self, obj)
    343             method = get_real_method(obj, self.print_method)
    344             if method is not None:
--> 345                 return method()
    346             return None
    347         else:

~/repos/astropy/astropy/table/table.py in _repr_latex_(self)
   1549         latexdict = self.meta.get('latexdict', {})
   1550         lTable = ascii.latex.Latex(latexdict=latexdict)
-> 1551         lines = lTable.write(table=self)
   1552         self.meta['latexdict'] = lTable.latex
   1553 

~/repos/astropy/astropy/io/ascii/latex.py in write(self, table)
    338         self.header.start_line = None
    339         self.data.start_line = None
--> 340         return core.BaseReader.write(self, table=table)
    341 
    342 

~/repos/astropy/astropy/io/ascii/core.py in write(self, table)
   1474         # Check that table column dimensions are supported by this format class.
   1475         # Most formats support only 1-d columns, but some like ECSV support N-d.
-> 1476         self._check_multidim_table(table)
   1477 
   1478         # Now use altered columns

~/repos/astropy/astropy/io/ascii/core.py in _check_multidim_table(self, table)
   1282             If any column exceeds the number of allowed dimensions
   1283         """
-> 1284         _check_multidim_table(table, self.max_ndim)
   1285 
   1286     def read(self, table):

~/repos/astropy/astropy/io/ascii/core.py in _check_multidim_table(table, max_ndim)
     53     nd_names = [col.info.name for col in table.itercols() if len(col.shape) > max_ndim]
     54     if nd_names:
---> 55         raise ValueError(f'column(s) with dimension > {max_ndim} '
     56                          "cannot be be written with this format, try using 'ecsv' "
     57                          "(Enhanced CSV) format")

ValueError: column(s) with dimension > 1 cannot be be written with this format, try using 'ecsv' (Enhanced CSV) format

and

col0 [10] | col1
-- | --

1.0 .. 1.0 | 0
1.0 .. 1.0 | 1
1.0 .. 1.0 | 2
1.0 .. 1.0 | 3
1.0 .. 1.0 | 4
1.0 .. 1.0 | 5
1.0 .. 1.0 | 6
1.0 .. 1.0 | 7
1.0 .. 1.0 | 8
1.0 .. 1.0 | 9

[taldcroft]

So I just don’t understand Jupyter notebook. I took out the new check that causes problems and Jupyter runs _repr_latex_ (now successfully) but just throws away that output and moves on to _repr_html_.

Anyway, fix coming.

[keflavich]

$ jupyter --version
jupyter core     : 4.7.0
jupyter-notebook : 6.1.6
qtconsole        : 4.7.7
ipython          : 7.19.0
ipykernel        : 5.1.4
jupyter client   : 6.1.7
jupyter lab      : 2.2.6
nbconvert        : 5.6.1
ipywidgets       : 7.6.1
nbformat         : 5.0.8
traitlets        : 4.3.3

and

$ jupyter --version
jupyter core     : 4.7.1
jupyter-notebook : 6.2.0
qtconsole        : 5.0.2
ipython          : 7.21.0
ipykernel        : 5.1.2
jupyter client   : 6.1.7
jupyter lab      : 1.2.6
nbconvert        : 6.0.7
ipywidgets       : 7.6.3
nbformat         : 5.1.2
traitlets        : 5.0.5

(I tried on both machines)