[SciPy-User] numpy.array of mixed type.

Charles R Harris charlesr.harris@gmail....
Wed Apr 21 19:27:14 CDT 2010

On Wed, Apr 21, 2010 at 9:49 AM, Éric Depagne <edepagne@lcogt.net> wrote:

> Hi.
> I'd like to create an array that would contain data of two different types:
> str and float64.
> I've created a dtype accordingly :
> dt = dtype({'names': ['Type', 'Chisquare'], 'formats': ['S8', float64]})
> then, I initialise my array as follow:
> temp = zeros ((1,1), dtype = dt)
> that gives me the following:
> array([[('', 0.0)]],
>      dtype=[('Type', '|S8'), ('Chisquare', '<f8')])
> which is almost good.
> I'd like to know if it is possible instead of having an array with one
> column
> that will contain a tuple, to create an array with two columns,  the first
> column being a str and the second a float.
It's not a tuple, it is just displayed that way, it is more like a packed c
structure. But no, you can't have *actual* ndarray columns of different
types. What problem do you have with using the dtype?

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