fillna() on CAS column not working #173
Description
If I create a CAS table with missing values...
import pandas as pd
import numpy as np
df = pd.DataFrame(dict(amount=[35,40], tip=[3.5,np.nan]))
tbl = conn.upload_frame(df, casout=dict(name="test", caslib="casuser", replace=True))
...the .fillna() method does not replace the missing values:
tbl2 = tbl
tbl2['test'] = tbl2['tip].fillna(0)
tbl3 = tbl
tbl3['test'] = tbl3['tip'].fillna(0, inplace=True)
Is there any workaround? In this case, I want to add amount with tip and save the result in total_amount:
tbl['total_amount'] = tbl['amount'] + tbl['tip'].fillna(0)
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