On Thu, May 10, 2018 at 10:53 PM, Hameer Abbasi <[email protected]>
wrote:
> Yes, that I know. I meant given a dtype string such as 'uint8' or a
> dtype object. I know I can possibly do np.array(scalar,
> dtype=dtype)[()] but I was looking for a less hacky method.
Apparently the `dtype` object has the attribute `type` that creates objects
of that dtype.
For example,
In [30]: a
Out[30]: array([ 1., 2., 3.])
In [31]: dt = a.dtype
In [32]: dt
Out[32]: dtype('float64')
In [33]: x = dt.type(8675309) # Convert the scalar to a's dtype.
In [34]: x
Out[34]: 8675309.0
In [35]: type(x)
Out[35]: numpy.float64
Warren
> On
> 11/05/2018 at 07:50, Stuart wrote: np.float(scalar) On Thu, May 10,
> 2018 at 7:49 PM Hameer Abbasi <[email protected]> wrote:
> Hello, everyone! I might be missing something and this might be a very
> stupid and redundant question, but is there a way to cast a scalar to
> a given dtype? Hameer _______________________________________________
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