Dear list,
is nonzero the appropriate function to get the indexes of a boolean array?
foo = numpy.random.random(1)
cut = foo > .5
indexes = cut.nonzero()[0]
Another question: Why is the the type returned by nonzero a tuple and not an
ndarray of the same shape as the input (or self if used on
return obj
def __getslice__(self,i,j):
obj = numpy.array(numpy.ndarray.__getslice__(self,
i,j)).view(type(self))
obj.__make_mapping(range(i,j+1))
return obj
--
Bernhard Voigt Phone: ++49 33762 - 7 - 7291
DESY, Zeuthen Mail: [EMAIL PROTECTED]
Pl
is correct, because it's passed to ndarray.__getitem__
In [32]: bar
Out[32]:
arraydict([(-1.4037792804089142, 0.37263515556827359),
(0.077070370958404841, -1.4284963747790793),
(0.88821059412119174, 0.29415143595187959)],
dtype=[('x', ' wrote:
On Wednesday 09 M
,
(0.077070370958404841, -1.4284963747790793),
(0.88821059412119174, 0.29415143595187959)],
dtype=[('x', ' wrote:
On Wednesday 09 May 2007 08:54:37 Bernhard Voigt wrote:
> I'm trying to subclass ndarray or recarray to build a record array that
has
> a dictionary
I'm trying to subclass ndarray or recarray to build a record array that has
a dictionary with a mapping of keys to array indexes and vice versa. I come
across the problem, that depending on the field access method I get
different types back:
# a is a sublcass of record array
print type(a)
pr
Dear all!
in a 2-dim array I would like to select rows specified by a list of indexes
and from these rows I'd like to select columns specified by another list of
indexes. That's what I found as a solution:
In [90]: a = arange(15).reshape(5,3)
In [91]: a
Out[91]:
array([[ 0, 1, 2],
[ 3,
Dear all,
I've recently installed the last releases of numpy and scipy (tar
archives from scipy.org).
I encountered two problems:
1) During the configuration it seems the information from my site.cfg
is not read.
2) Installation using atlas optimized lapack/blas libraries didn't work
1) My site
