t = pd.DataFrame([[4,9],]*3, columns=['a', 'b']) a b 0 4 9 1 4 9 2 4 9
t.apply(lambda x: [x]) gives a [[1, 2, 2]] b [[1, 2, 2]] How?? When you 't' within console the entire data frame is dumped but how are the individual elements passed into .apply()? I can't do lambda x,y: [x,y] because only 1 arg is passed so how does [4] generate [[ ]] Also - this: t.apply(lambda x: [x], axis=1) 0 [[139835521287488, 139835521287488]] 1 [[139835521287488, 139835521287488]] 2 [[139835521287488, 139835521287488]] vey weird - what just happened?? In addition, how do I filter data eg: t[x] = t[x].apply(lambda x: x*72.72) I'd like to remove numeric -1 contained in the column output of t[x]. 'filter' only works with labels of indices, i can't do t[ t[x] != -1 ] because that will then generate all the rows and I have no idea how that will be translate to within a .apply(lambda x... (hence my Q on what's going on internally) Could someone clarify please. (could someone also tell me briefly the best way to use NNTP and filter out the SPAM - 'pan' and 'tin' don't work anymore afaik [eternal-september] and I'm using slrn currently - the SLang regex is weird within the kill file - couldn't get it to work - wound up killing everything when I did Subject: [A-Z][A-Z][A-Z]+ ) -- https://mail.python.org/mailman/listinfo/python-list
