Re: [matplotlib-devel] numpy dtype argument

[Christopher B. <Chr...@no...>]

Manuel Metz wrote:
>    x = np.asarray(x).astype(np.float32)
>    x = np.zeros( x, np.float_ )
>    x = np.ones((col,), float)
> 
> Is there a preferred one to stick to ?!

Michael Droettboom wrote:
>   x = np.asarray(x, np.float_)

I'd vote for:

x = np.asarray(x, np.float)

It ends up resulting in the same thing, but I prefer not to have 
magic-looking underscores in names. There is a slight difference:

np.float is the python float type, whereas np.float_ is the numpy 
float64 type. I suppose in some future 128 bit OS, the python float may 
be something else. I like saying: "make this the standard python float 
type", rather than "make this a 64 bit float", even though it means the 
same thing in all versions of python I know of.

This, or course, only when casting really is required, as John H. 
pointed out.

-Chris



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Chr...@no...