ValueError when reading dict with None

I find that reading a dict

row =  {'a': [1], 'b':[None]}
ks.DataFrame(row)

ValueError: can not infer schema from empty or null dataset

but for pandas there is no error

row =  {'a': [1], 'b':[None]}
print(pd.DataFrame(row))

   a     b
0  1  None

I have tried setting dtype=np.int64 but this has not helped.

[skndrg]

@ederfdias Here is a possible workaround. Specify converters like below:

import numpy as np

df_ks = koalas.read_excel(
   ...
   converters={i : (lambda x: str(x) if x else np.NaN) for i in range(30)} # Read first 30 columns as string     

[ederfdias]

JFYI… using read_csv function with a column without values I don’t receive any errors, but with an read_excel() the same error is raised.