Hi list,
is there a way to compute the weighted median or the weighted percentile
http://en.wikipedia.org/wiki/Percentile#Weighted_Percentile
with numpy or scipy? I only found the "scoreatpercentile" function in
scipy.stat, and the "median" functions of scipy.stat and numpy, but they
both dont al
Hello Ernest,
Ernest Adrogué writes:
> It depends on what exactly you want to do. If you just want
> to iterate over the array, try something liks this
> for element in a[a > 0.8]:
> myfunc(element)
No; I need to iterate over the *indices*, not over the elements.
a = numpy.random.random((
Hi,
I want to apply a function to all indices of an array that fullfill a
certain condition.
What I tried:
-8<
import numpy
def myfunc(x):
print 'myfunc of', x
a = numpy.random.random((2,3,4))
numpy.apply_along_axis(myfunc, 0, numpy.where
Hi,
Is there something wrong with scipy.special.hermite? The following code
produces glibc errors:
8<---
import scipy.special
h = []
for i in xrange(15):
print i
h.append(scipy.special.hermite(i+1))
8<---
results in
...
12
*
