python-igraph | Python interface for igraph | Data Visualization library
kandi X-RAY | python-igraph Summary
kandi X-RAY | python-igraph Summary
igraph is a library for creating and manipulating graphs. It is intended to be as powerful (ie. fast) as possible to enable the analysis of large graphs. This repository contains the source code to the Python interface of igraph. You can learn more about igraph on our website.
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Top functions reviewed by kandi - BETA
- Write graph to SVG
- Return a string representation of the histogram
- Flush all pending operations
- Closes the database
- Draw a Cairo graph
- Determine the position of a label from src_vertex to dest_vertex
- R Evaluates the cubic cubic cubic Bezier curve
- Compute the Bezier control points for a curve
- Draw the graph
- Plot a graph
- Draw a matrix
- Construct a graph from a list of vertices and edges
- Construct a graph from a DataFrame
- Draws a directed edge
- Draw a directed edge
- Construct a graph from a formula
- Draws the plot
- Draws a graph from graph
- Run a test
- Return a custom build extension
- Fetch the graph of the given network
- Decorator for sdist
- Construct a graph from a NetworkX Graph object
- Construct a graph from a list of tuples
- Construct a graph from a weighted adjacency matrix
- Exports a graph to a data structure
python-igraph Key Features
python-igraph Examples and Code Snippets
Lines of Code : 2License : Strong Copyleft (GPL-3.0)
Copypip3 install skeletor
pip3 install git+git://github.com/navis-org/skeletor@master
pip install .
pip install --no-deps -U -e .
pip3 install skeletor
pip3 install git+git://github.com/schlegelp/skeletor@master
!pip install igraph
!apt install libcairo2-dev
!pip install pycairo
import igraph as ig
g = ig.Graph.Erdos_Renyi(n=100, m=200)
ig.plot(g)
import matplotlib.pyplot aimport pyAgrum
import pyAgrum.lib.image as gimg
bn=gum.fastBN("A->B->C")
gimg.export(bn,"test.pdf")
gimg.exportInference(bn,"test.png",evs={"A":1})
#from @Jérôme's answer
from skimage.measure import label
components = label(M)
# array([[1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0],
# [1, 1, 1, 0, 0, 0, 0, 0, 0, 2, 2],
# [1, 1, 1, 0, 0, 0, 0, 0, 0, 2, 2],
# [1, 1, 1, 0, 0, 3,def subgraph_of_large_clusters(clustering: VertexClustering, threshold: int) -> VertexClustering:
sizes = clustering.sizes()
members = [i for i, c in enumerate(clustering.membership) if sizes[c] >= threshold]
new_graph = scores_matrix = w_graph.get_adjacency_sparse(attribute="weight")
node_names = w_graph.vs["name"]
max_scores = scores_matrix.max(axis=0).toarray()[0]
max_score_nodes = w_graph.vs[scores_matrix.argmax(axis=0).tolist()[0]]["name"]
max_score_import igraph as ig
from igraph import Graph
g = Graph.Formula('A, B, C, D, E, F, A-F, A-C, F-D-C, D-E')
g.es['weight'] = [0.6, 0.4, 0.3, 0.9, 0.9]
strongest_edges = [max(edges, key=g.es['wimport igraph as ig
from igraph import Graph
# Set seed for reproducibility
import random
random.seed(123)
# Create an undirected tree. If your tree is not undirected,
# convert it to undirected first.
g = Graph.Tree_Game(10)
# Our choCommunity Discussions
Trending Discussions on python-igraph
QUESTION
I'm trying to following this tutorial: https://towardsdatascience.com/newbies-guide-to-python-igraph-4e51689c35b4
I followed it to the letter (copy and paste really) and I keep getting the following error:
KeyError: 'Attribute does not exist
Can anyone help me figure out why.
(I'm running python 3.10 and using python-igraph 0.9.9)
Here's the code being executed:
...ANSWER
Answered 2022-Jan-25 at 21:11Digging through the source code and your traceback, it seems like this line is critical. Try setting g.es["curved"] = True or g.es["curved"] = False up where you're setting the other edge-style properties.
QUESTION
I have a dictionary of node positions (a layout) node_pos_dict (defined at the bottom of this post) with node id's as keys and node positions as values. I am ommiting edges for simplity. I am using this to plot a graph G in networkx:
ANSWER
Answered 2021-May-29 at 16:37In order to obtain the same layout in igraph:
QUESTION
It seems that the full documentation on classes and functions which I used to access is now removed:
https://igraph.org/python/doc/igraph.Graph-class.html
https://igraph.org/python/doc/python-igraph.pdf
I remember these are the most comprehensive resources and wonder if anyone has any idea?
ANSWER
Answered 2021-Mar-12 at 22:18You can find the new documentation at https://igraph.org/python/doc/api/index.html. The documentation is currently being revamped, which also meant that some links changed. The problem of the old links was also reported at this issue. Some issues around the building of the documentation are being discussed here.
QUESTION
I'm trying to work with reticulate for integrating Python modules inside R and, despite following the tutorial (miniconda is already installed), nothing seems to work properly. I tried with the default way and specifying conda and virtual environments:
ANSWER
Answered 2021-Feb-11 at 17:34I think the problem is that py_module_available takes the module name, not the package name on pypi.
Can you try:
QUESTION
I have setup anaconda3 for multiple users in a lab workstation at /opt/anaconda3 so that other users don't have to set up a fresh anaconda3 install for themselves.
Then I created an environment called zud for my use. So currently, the workstation has two environments as listed below.
ANSWER
Answered 2020-Dec-18 at 22:51I observed the issue here! On changing the conda environment from base to zud, the ipython and jupyter utilities are still being used of the base env.
The main reason behind could be - In the zud env ipython and jupyter are not installed. Due to which, both are accessed from the base env. Try installing them in zud and see if the problem is fixed.
QUESTION
I have two graph objects made from scratch with Networkx (Python 3.8). To help understanding the situation this is a summary snippet:
...ANSWER
Answered 2020-Nov-18 at 18:49igraph nowadays support direct conversion from and to networkx objects. See https://igraph.org/python/doc/igraph.Graph-class.html#from_networkx for more details. If you first convert to an igraph object (in Python), write it to a file, and then read it back in using igraph (in R), this should work correctly.
QUESTION
I am using python-igraph.
Running the following code:
...ANSWER
Answered 2020-Oct-07 at 04:46The documentation is a bit newer than what is already implemented. A new release is due to appear in the coming week, that functionality will then become available.
QUESTION
I'm facing with the problem like mentioned above. I saw othe questions similar to mine, but no answers had resolved my problem.
I am working on Windowd 10 x64 in this path: C:/Users/Marco/PycharmProjects/ortuproject/Teoria Dei Grafi_script con NetworkX.py" ;
below my Terminal on Pycharm COmmunity edition.
...ANSWER
Answered 2020-Mar-24 at 13:17The problem is that the cairo C library itself is still missing, please follow the instructions for installing it. It is actually easier to install python-igraph in Anaconda, which automatically installs pycairo, including the necessary cairo C library.
Note that there is also a recent support forum opened specifically for igraph: https://igraph.discourse.group/.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install python-igraph
If you need to compile igraph from source for some reason, you need to install some dependencies first:. This should compile the C core of igraph as well as the Python extension automatically.
It is now also possible to compile igraph from source under Windows for Python 3.6 and later. Make sure that you have Microsoft Visual Studio 2015 or later installed, and of course Python 3.6 or later. First extract the source to a suitable directory. If you launch the Developer command prompt and navigate to the directory where you extracted the source code, you should be able to build and install igraph using python setup.py install. You may need to set the architecture that you are building on explicitly by setting the environment variable. where [arch] is either Win32 for 32-bit builds or x64 for 64-bit builds. By default, GraphML is disabled, because libxml2 is not available on Windows in the standard installation. You can install libxml2 on Windows using vcpkg. After installation of vcpkg you can install libxml2 as follows. for 64-bit version (for 32-bit versions you can use the x86-windows-static-md triplet). You need to integrate vcpkg in the build environment using. CMake projects should use: -DCMAKE_TOOLCHAIN_FILE=[vcpkg build script].
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