On 04/29/2013 06:47 PM, Anatol Wegner wrote:
On 04/29/2013 05:51 PM, Tiago de Paula Peixoto wrote:
On 04/29/2013 04:18 PM, Anatol Wegner wrote:
The script:
mt=load_graph('m.xml')
import pickle
f=open('graph','w')
pickle.dump(mt,f)
f.close()
g=open('graph','r')
m=pickle.load(g)
Traceback
Hi all,
In general which graph format is fastest when writing/reading graphs? I
am also getting errors when I load pickled and cpickled graphs...That is
something like:
TypeError: No registered converter was able to produce a C++ rvalue of
type std::string from this Python object of type
On 04/29/2013 02:16 PM, Anatol Wegner wrote:
In general which graph format is fastest when writing/reading graphs?
I've never benchmarked this extensively, but I do believe that either
graphml or gml should be the fastest.
I am also getting errors when I load pickled and cpickled
On 04/29/2013 04:18 PM, Anatol Wegner wrote:
The script:
mt=load_graph('m.xml')
import pickle
f=open('graph','w')
pickle.dump(mt,f)
f.close()
g=open('graph','r')
m=pickle.load(g)
Traceback (most recent call last):
File pyshell#11, line 1, in module
m=pickle.load(g)
File
On 04/29/2013 05:51 PM, Tiago de Paula Peixoto wrote:
On 04/29/2013 04:18 PM, Anatol Wegner wrote:
The script:
mt=load_graph('m.xml')
import pickle
f=open('graph','w')
pickle.dump(mt,f)
f.close()
g=open('graph','r')
m=pickle.load(g)
Traceback (most recent call last):
File pyshell#11, line
