суббота, 14 мая 2016 г., 9:09:16 UTC+10 пользователь Андрей Логунов написал: > > In my Win10, when reading an RDataset with NA into a DataFrames table the > console shows the missing data as NaNs, hence the standard dropna function > ceases to filter. Are there any clues as to how to tackle this? Filter func > operates on only Array type, not DataFrame type. >
To add, fiddling with array comprehensions as per the problem with NaNs found a buggy thing. The following code does not work: [x for x in filter(!isnan, convert(Array,dataframe[:fld]))] But this does: notisnan(x) = !isnan(x); [x for x in filter(notisnan, convert(Array,dataframe[:fld]))] This breaks the logic, somehow. The first one would be more natural.
