[Numpy-discussion] Documentation for dtypes with named fields
Tue Mar 16 08:14:38 CDT 2010
On Tue, Mar 16, 2010 at 8:47 AM, Sam Tygier
> I can't find much documentation for using arrays where the dtype has named fields (is there a term for this sort of array). there is some in
> but that's most creation.
structured arrays, or structured dtypes (similar to recarrays but simpler)
the best information, I think, is on the mailing list, search for
e.g. slicing is not possible, slicing requires a view as regular ndarray
there are some slightly hidden (because still work in progress) helper functions
>>> import numpy.lib.recfunctions
> for example if i have
> a = zeros(5, dtype=[('a','f'), ('b','f'), ('c','i')])
> and fill it with values.
> if i want to fill a row, i can do
> a = (0.1,0.2,3)
> but if i use a list it wont work
> a = [0.1,0.2,3]
> is there an explanation of why?
> now if i wanted to do some sort of conversion, eg multiply columns 'a' and 'b' by 10, is there a way to do
> a *= [10,10,1]
> like i would do with a if were a zeros((5,3)) array
> a['a'] *= 10
> a['b'] *= 10
> the best method?
> also whats the best way to take a slice of the columns? if i want just the 'a' and 'b' columns. if it were a 2d array i could do
> does not work. is there a way to do this?
> NumPy-Discussion mailing list
More information about the NumPy-Discussion