I have a file containing mixed data types: strings, floats, datetime output(i.e. strings), and ints. Something like:
#ID, name, date, value 1,sample,2008-07-10 12:34:20,344.56 Presuming I get them nicely into a recarray (see my other http://www.nabble.com/recarray-and-datetime-objects-td24568340.html post ) then I would like to work with them using the convention that I have become used to: D[:,0] #means D for all rows, column 0 But it seems now I have to use: D['columnID'] Am I missing something, or is there a way to keep referencing columns by the column integer index?? Thanks! On another note... are recarrays and structured arrays the same?? -- View this message in context: http://www.nabble.com/indexing-recarrays-tp24568432p24568432.html Sent from the Numpy-discussion mailing list archive at Nabble.com.
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