Convert Pandas column containing NaNs to dtype `int`

Question

I read data from a .csv file to a Pandas dataframe as below. For one of the columns, namely id, I want to specify the column type as int. The probl

Answer 1

I had the problem a few weeks ago with a few discrete features which were formatted as 'object'. This solution seemed to work.

for col in discrete:
df[col] = pd.to_numeric(df[col], errors='coerce').astype(pd.Int64Dtype())