On Mon, Jun 11, 2012 at 4:11 PM, Thouis (Ray) Jones tho...@gmail.comwrote:
I've volunteered to help manage the migration of numpy tickets from
Trac to github issues.
Awesome, thanks!
The first part of this process is to decide
which tickets to migrate, and how to map Trac ticket data to
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:
This seems to work:
import networkx as nx
import pylab
import numpy as N
M = N.random.random((10, 10))
G = nx.Graph(M)
node_colors = []
for i in xrange(len(M)):
if M[i,0] 0.5:
node_colors.append('white')
else:
node_colors.append('blue')
nx.draw(G, node_color=node_colors)
Hi all,
It has been some time, but I do have an update regarding this proposed
feature. I thought it would be helpful to flesh out some parts of a
possible implementation to learn what can be spelled reasonably in
NumPy. Mark Wiebe helped out greatly in navigating the NumPy code
codebase.
Hi everyone
We're rapidly approaching SciPy2012 http://conference.scipy.org/scipy2012,
which takes place in Austin, Texas from July 16th to 21st. This is a
reminder that the *discounted early bird registration* closes on the 18th
of this month.
Also, we decided to keep the queue for *poster
