TypeError: Int64 when running `jb2.pivot_table`

[dougler]

I have been following the code in your book in jupyter notebook.
There is several places where the code leads to errors. The errors also show up in the github version of the code.
For example:
In the your notebook Chapters 16-30 (page 302 in the physical book)
input 106 and 107 lead to errors. Have they been corrected?

(jb2
 .pivot_table(index='country_live', columns='employment_status',
     values='age', aggfunc='mean')
)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-8-c65017e0f276> in <module>
      1 # run code
----> 2 (jb2
      3  .pivot_table(index='country_live', columns='employment_status',
      4      values='age', aggfunc='mean')
      5 )

~/envs/menv/lib/python3.8/site-packages/pandas/core/frame.py in pivot_table(self, values, index, columns, aggfunc, fill_value, margins, dropna, margins_name, observed, sort)
   8036         from pandas.core.reshape.pivot import pivot_table
   8037 
-> 8038         return pivot_table(
   8039             self,
   8040             values=values,

~/envs/menv/lib/python3.8/site-packages/pandas/core/reshape/pivot.py in pivot_table(data, values, index, columns, aggfunc, fill_value, margins, dropna, margins_name, observed, sort)
     93         return table.__finalize__(data, method="pivot_table")
     94 
---> 95     table = __internal_pivot_table(
     96         data,
     97         values,

~/envs/menv/lib/python3.8/site-packages/pandas/core/reshape/pivot.py in __internal_pivot_table(data, values, index, columns, aggfunc, fill_value, margins, dropna, margins_name, observed, sort)
    185                     #  agged.columns is a MultiIndex and 'v' is indexing only
    186                     #  on its first level.
--> 187                     agged[v] = maybe_downcast_to_dtype(agged[v], data[v].dtype)
    188 
    189     table = agged

~/envs/menv/lib/python3.8/site-packages/pandas/core/dtypes/cast.py in maybe_downcast_to_dtype(result, dtype)
    275     if not isinstance(dtype, np.dtype):
    276         # enforce our signature annotation
--> 277         raise TypeError(dtype)  # pragma: no cover
    278 
    279     converted = maybe_downcast_numeric(result, dtype, do_round)

TypeError: Int64

[mattharrison]

Thanks for reporting @dougler .

I have raised this issue in pandas pandas-dev/pandas#47477