Geoffrey Zhu wrote:
Hi All,
I want to construct a numpy array based on Python objects. In the
below code, opts is a list of tuples.
For example,
opts=[ ('C', 100, 3, 'A'), ('K', 200, 5.4, 'B')]
If I use a generator like the following:
K=numpy.array(o[2]/1000.0 for o in opts)
It
Is there a reason not to add an argument to fromiter that specifies
the final size of the n-d array? Reading this discussion, I realized
that there are several places in my code where I create 2-D arrays
like this:
arr = N.array([d.data() for d in list_of_data_containers]),
where d.data()
Hi All,
I want to construct a numpy array based on Python objects. In the
below code, opts is a list of tuples.
For example,
opts=[ ('C', 100, 3, 'A'), ('K', 200, 5.4, 'B')]
If I use a generator like the following:
K=numpy.array(o[2]/1000.0 for o in opts)
It does not work.
I have to use:
On Thu, 16 Aug 2007, Geoffrey Zhu apparently wrote:
K=numpy.array(o[2]/1000.0 for o in opts)
It does not work.
K=numpy.fromiter((o[2]/1000.0 for o in opts),'float')
hth,
Alan Isaac
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