In 0.3, what's the best way of replacing all NA with a given value (eg. 0)? Pandas has df.fillna. I've noticed that
isnan(DataFrames.NA) is undefined and DataFrames.NA == DataFrames.NA is NA. The docs say it's a singleton, so I assume that I should use === to check if it's NA? Likewise, how should I iterate over all elements? I was disappointed that `map(fun, df)` is not defined (is that an omission? it's defined for matrices). Should I just go over all columns one by one? Cédric
