Version 0.9.5 accidentally broke the Matplotlib backend when it was invoked without the mark_groups=... keyword argument; this version fixes the issue. Thanks to @dschult for reporting it!
python-igraph 0.9.5
Fixed
plot(g, ..., mark_groups=True) now works with the Matplotlib plotting backend.
set_random_number_generator(None) now correctly switches back to igraph's own random number generator instead of the default one that hooks into the random module of Python.
Improved performance in cases when igraph has to call back to Python's random module to generate random numbers. One example is Graph.Degree_Sequence(method="vl"), whose performance suffered a more than 30x slowdown on 32-bit platforms before, compared to the native C implementation. Now the gap is smaller. Note that if you need performance and do not care about seeding the random number generator from Python, you can now use set_random_number_generator(None) to switch back to igraph's own RNG that does not need a roundtrip to Python.
python-igraph 0.9.4
Added
Added Graph.is_tree() to test whether a graph is a tree.
Added Graph.Realize_Degree_Sequence() to construct a graph that realizes a given degree sequence, using a deterministic (Havel-Hakimi-style) algorithm.
Added Graph.Tree_Game() to generate random trees with uniform sampling.
Graph.to_directed() now supports a mode=... keyword argument.
Added a create_using=... keyword argument to Graph.to_networkx() to let the user specify which NetworkX class to use when converting the graph.
Changed
Updated igraph dependency to 0.9.4.
Fixed
Improved performance of Graph.from_networkx() and Graph.from_graph_tool() on large graphs, thanks to @szhorvat and @iosonofabio for fixing the issue.
Fixed the autocurve=... keyword argument of plot() when using the Matplotlib backend.
Deprecated
Functions and methods that take string arguments that represent an underlying enum in the C core of igraph now print a deprecation warning when provided with a string that does not match one of the enum member names (as documented in the docstrings) exactly. Partial matches will be removed in the next minor or major version, whichever comes first.
Graph.to_directed(mutual=...) is now deprecated, use mode=... instead.
igraph.graph.drawing.UbiGraphDrawer is deprecated as the upstream project is not maintained since 2008.
python-igraph 0.9.1
Changed
Calling plot() without a filename or a target surface is now deprecated.
The original intention was to plot to a temporary file and then open it in
Version 0.9.5 accidentally broke the Matplotlib backend when it was invoked
without the mark_groups=... keyword argument; this version fixes the issue.
Thanks to @dschult for reporting it!
[0.9.5]
Fixed
plot(g, ..., mark_groups=True) now works with the Matplotlib plotting backend.
set_random_number_generator(None) now correctly switches back to igraph's
own random number generator instead of the default one that hooks into
the random module of Python.
Improved performance in cases when igraph has to call back to Python's
random module to generate random numbers. One example is
Graph.Degree_Sequence(method="vl"), whose performance suffered a more than
30x slowdown on 32-bit platforms before, compared to the native C
implementation. Now the gap is smaller. Note that if you need performance and
do not care about seeding the random number generator from Python, you can
now use set_random_number_generator(None) to switch back to igraph's own
RNG that does not need a roundtrip to Python.
[0.9.4]
Added
Added Graph.is_tree() to test whether a graph is a tree.
Added Graph.Realize_Degree_Sequence() to construct a graph that realizes a
given degree sequence, using a deterministic (Havel-Hakimi-style) algorithm.
Added Graph.Tree_Game() to generate random trees with uniform sampling.
Graph.to_directed() now supports a mode=... keyword argument.
Added a create_using=... keyword argument to Graph.to_networkx() to
let the user specify which NetworkX class to use when converting the graph.
Changed
Updated igraph dependency to 0.9.4.
Fixed
Improved performance of Graph.from_networkx() and Graph.from_graph_tool()
Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.
Dependabot commands and options
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 ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
- `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
- `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)
dependabot[bot]
commented
3 years ago
Bumps python-igraph from 0.9.0 to 0.9.6.
Release notes
Sourced from python-igraph's releases.
... (truncated)
Changelog
Sourced from python-igraph's changelog.
... (truncated)
Commits
f657a59chore: bumped version to 0.9.5603368dfchore: updated changelog [ci skip]713b811fix: fix failing Matplotlib backend when mark_groups=... is not provided, fix...4c19544chore: last tweaks to changelog [ci skip]0a153b3chore: bumped version to 0.9.51b2b0a3fix: RNG performance improvementsfb47e3efix: PyObject_CallObject() is slightly faster when generating random numbers0abc0ddfix: set_random_number_generator(None) now properly restores the original igr...883a05eMatplotlib plotting and clustering color bugfix (#410)c1c3d8aci: run verbose unit tests, add NetworkX in CI envDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase.Dependabot commands and options
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 ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)