Hi all numpy fun;)
This question is already posted in stackoverflow by some people, I am just
thinking that numpy python will do this with trick;) I guess numpy will be
every ones choice as its popularity increases. The question is herein:
http://stackoverflow.com/questions/10074270/how-can-i-find-
Hi,
how I can convert (by adding zero) of any non-square numpy matrix in to
square matrix using numpy? then how to find the minimum number in each row
except the zeros added(for making square matrix)? ;)
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I have M is numpy matrix with 0's& 1's. I want to color the nodes with
different colors.
can anyone give me a hint on the following code?
import network as nx
import pylab as plt
G=nx.Graph(M) # M is numpy matrix ,i.e:type(M)=numpy.ndarray
for i in xrange(len(M)):
tt=P[i,:].sum()
if
can anyone give me a hint on the following code?
import network as nx
import pylab as plt
G=nx.Graph(M) # M is numpy matrix ,i.e:type(M)=numpy.ndarray
for i in xrange(len(M)):
tt=P[i,:].sum()
if tt==1:
G.add_node(i,color='blue')
elif tt==2:
G.add_node(i,colo
>
> Hi every body!
> I have a &b numpy arrays
> a=np.loadtxt('çm1.txt', dtype=np.float, skiprows=2,usecols=[1])
> b=np.loadtxt('çm1.txt', dtype=('x', np.float64), skiprows=2,usecols=[2])
>
> how to save multiple files like cm1.txt,cm2.txt,cm3.txt etc and to
> produce their corresponding outputs
