im searching for columns with NA, for that i use this code:
train.isna().sum()
Id 0
MSSubClass 0
MSZoning 0
LotFrontage 259
LotArea 0
...
MoSold 0
YrSold 0
SaleType 0
SaleCondition 0
SalePrice 0
Length: 81, dtype: int64time: 29.5 ms (started: 2021-11-08 10:28:26 +00:00)
i like the solution but i need to see all the columns, not the short version
any idea how to print the full version or a more proper way to search for column with NA? the solution was: pd.set_option('max_rows', None) print(train.isna().sum())