Comments (4)
@KirstieJane Thanks for the opening issue about that!
Indeed, the nx.erdos_renyi_graph()
has the parameter seed. If we set this parameter to some value (e.g. 10), you will create the same Erdos Renyi graph each time we call plot_degree_dist
.
Do you want to have this value hardcoded G_ER = nx.erdos_renyi_graph(nodes, cost, seed=10)
or add this parameter seed to our function plot_degree_dist
?
from scona.
I think add the parameter to the plot_degree_dist
function, and give it a default value. It would be great to also give the options of passing 'random' for the seed and having the code create a new graph each time.
(But not having random as the default, that would have to be explicitly asked for)
from scona.
@KirstieJane, add commit to PR #121 to address this problem. Now by default, we set seed to 10 (just a default integer value) and we are able to make our results reproducible.
In case it is needed to create random Erdos Renyi Graph, set seed
to None.
from scona.
Closing since #121 has been merged, adding this random seed setting functionality
from scona.
Related Issues (20)
- Add padding to the colorbar at the bottom HOT 3
- calculate_nodal_measures doesn't work on graph bundles HOT 1
- Pad random graphs with 0s so they are in the right order HOT 4
- Include small world in plot_network_measures HOT 3
- Which version of nilearn do we need? HOT 1
- Cut covars columns from residuals matrix HOT 1
- feature request: tell brainbundle the total number of brains you want
- Catch error if name of graph doesn't exist in brain bundle for plot_rich_club HOT 4
- Adjust legend of plot_rich_club HOT 3
- small_world calculations HOT 1
- Nodal measures for plotting with nilearn HOT 5
- Plots of brains in plotting anatomical network HOT 2
- View Connectome with nilearn HOT 5
- Error with nilearn.plot_connectome HOT 1
- Test for visualisations HOT 1
- Removing old viz modules
- View_corr_mat() - make new || leave old HOT 5
- Make new get_anatomical_layouts() function HOT 1
- Two similar tutorials HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from scona.