Added Graph.__invalidate_cache() for debugging and benchmarking purposes.
Changed
The C core of igraph was updated to version 0.10.8.
Fixed
Removed incorrectly added loops=... argument of Graph.is_bigraphical().
Fixed a bug in the Matplotlib graph drawing backend that filled the interior of undirected curved edges.
igraph 0.11.2
Added
python-igraph is now tested in Python 3.12.
Added weights=... keyword argument to Graph.layout_kamada_kawai().
Changed
The matplotlib plotting infrastructure underwent major surgery and is now able to show consistent vertex and edge drawings at any level of zoom, including with animations, and for any aspect ratio.
As a consequence of the restructuring at the previous point, vertex sizes are now specified in figure points and are not affected by axis limits or zoom. With the current conventions, vertex_size=25 is a reasonable size for igraph.plot.
As another consequence of the above, vertex labels now support offsets from the vertex center, in figure point units.
As another consequence of the above, self loops are now looking better and their size can be controlled using the edge_loop_size argument in igraph.plot.
As another consequence of the above, if using the matplotlib backend when plotting a graph, igraph.plot now does not return the Axes anymore. Instead, it returns a container artist called GraphArtist, which contains as children the elements of the graph plot: a VertexCollection for the vertices, and EdgeCollection for the edges, and so on. These objects can be used to modify the plot after the initial rendering, e.g. inside a Jupyter notebook, to fine tune the appearance of the plot. While documentation on specific graphic elements is still scant, more descriptive examples will follow in the future.
Fixed
Fixed drawing order of vertices in the Plotly backend (#691).
Fixed plotting of null graphs with the Matplotlib backend.
Removed
Dropped support for Python 3.7 as it has reached its end of life.
igraph 0.10.8
Yes, the version number is correct - igraph 0.10.7 has never made it to PyPI. It is tagged in the repository, but it has never been released officially. The changelog below lists the changes between igraph 0.10.6 and 0.10.8.
Added
Added is_bigraphical() to test whether a pair of integer sequences can be the degree sequence of some bipartite graph.
Added weights=... keyword argument to Graph.radius() and Graph.eccentricity().
Graph.distances(), Graph.get_shortest_path() and Graph.get_shortest_paths() now allow the user to select the algorithm to be used explicitly.
Added Graph.__invalidate_cache() for debugging and benchmarking purposes.
Changed
The C core of igraph was updated to version 0.10.8.
Fixed
Removed incorrectly added loops=... argument of Graph.is_bigraphical().
Fixed a bug in the Matplotlib graph drawing backend that filled the interior of undirected curved edges.
[0.11.2] - 2023-10-12
Fixed
Fixed plotting of null graphs with the Matplotlib backend.
[0.11.0] - 2023-10-12
Added
python-igraph is now tested in Python 3.12.
Added weights=... keyword argument to Graph.layout_kamada_kawai().
Changed
The matplotlib plotting infrastructure underwent major surgery and is now able to show consistent vertex and edge drawings at any level of zoom, including with animations, and for any aspect ratio.
As a consequence of the restructuring at the previous point, vertex sizes are now specified in figure points and are not affected by axis limits or zoom. With the current conventions, vertex_size=25 is a reasonable size for igraph.plot.
As another consequence of the above, vertex labels now support offsets from the vertex center, in figure point units.
As another consequence of the above, self loops are now looking better and their size can be controlled using the edge_loop_size argument in igraph.plot.
As another consequence of the above, if using the matplotlib backend when plotting a graph, igraph.plot now does not return the Axes anymore. Instead, it returns a container artist called GraphArtist, which contains as children the elements of the graph plot: a VertexCollection for the vertices, and EdgeCollection for the edges, and so on. These objects can be used to modify the plot after the initial rendering, e.g. inside a Jupyter notebook, to fine tune the appearance of the plot. While documentation on specific graphic elements is still scant, more descriptive examples will follow in the future.
Fixed
Fixed drawing order of vertices in the Plotly backend (#691).
Removed
Dropped support for Python 3.7 as it has reached its end of life.
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Note
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Bumps igraph from 0.9.8 to 0.11.3.
Release notes
Sourced from igraph's releases.
... (truncated)
Changelog
Sourced from igraph's changelog.
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Commits
ecace80
chore: bumped version to 0.11.30bbfbb4
chore: updated changelogdf2ed3f
chore: updated C core90edc0a
fix: fix test cases675059e
chore: updated C core0fdac51
Merge pull request #732 from iosonofabio/edges_mpl_bugfixf25ab14
Bugfix for #7315ff524d
chore: updated changelog68579a6
fix: remove loops=... argument for is_bigraphical(), fixes #730ab976c5
chore: updated vendored igraphYou can trigger a rebase of this PR by commenting
@dependabot rebase
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You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show