TypeError: Cannot interpret 'CategoricalDtype(categories=['no', 'yes'], ordered=False)' as a data type

Question

I just upgraded all my python libraries, and now my previous code is started to fail. I'm using blaze with pandas. Here is my method code

blaze.data(res)

res contains below data

             col1         age  ...                                           col31  year
0            yes    55-64  ...                                             NaN  2011
1             no    25-34  ...                                             NaN  2011
2             no    55-64  ...                                             NaN  2011

I'm using below dependencies

- python=3.6.11=h4d41432_2_cpython
- blaze=0.11.3=py36h4e06776_0
- odo=0.5.1=py36h90ed295_0
- pandas=1.0.5=py36h0573a6f_0
- numpy=1.19.1=py36h3849536_2

I'm getting the following error

  File "cytoolz/functoolz.pyx", line 667, in cytoolz.functoolz.pipe
  File "cytoolz/functoolz.pyx", line 642, in cytoolz.functoolz.c_pipe
  File "/home/ubuntu/miniconda/envs/my_env/lib/python3.6/site-packages/blaze/interactive.py", line 153, in data
    dshape = discover(data_source)
  File "/home/ubuntu/miniconda/envs/my_env/lib/python3.6/site-packages/multipledispatch/dispatcher.py", line 278, in __call__
    return func(*args, **kwargs)
  File "/home/ubuntu/miniconda/envs/my_env/lib/python3.6/site-packages/odo/backends/pandas.py", line 31, in discover_dataframe
    for k in df.columns])
  File "/home/ubuntu/miniconda/envs/my_env/lib/python3.6/site-packages/odo/backends/pandas.py", line 31, in <listcomp>
    for k in df.columns])
  File "/home/ubuntu/miniconda/envs/my_env/lib/python3.6/site-packages/odo/backends/pandas.py", line 23, in dshape_from_pandas
    dshape = datashape.CType.from_numpy_dtype(col.dtype)
  File "/home/ubuntu/miniconda/envs/my_env/lib/python3.6/site-packages/datashape/coretypes.py", line 779, in from_numpy_dtype
    if np.issubdtype(dt, np.datetime64):
  File "/home/ubuntu/miniconda/envs/my_env/lib/python3.6/site-packages/numpy/core/numerictypes.py", line 388, in issubdtype
    arg1 = dtype(arg1).type
TypeError: Cannot interpret 'CategoricalDtype(categories=['no', 'yes'], ordered=False)' as a data type

It's failing to parse second column values.