* Add graph_str Formatted Fix bug in choosing the source Fix test * Fixed issue in choosing source verticies for directed graphs * reasonable working state * Fixed logic issues Fix test, cleanup, formatting more tests, better comments, fix parent labels fix pypy issue Fix format * Fixes based on review * Cleaned up test names * Use open_file decor and remove graph_str * Remove useage of forest_str from doctest * Fix style * style * Update networkx/readwrite/text.py Co-authored-by: Dan Schult <dschult@colgate.edu> * Fixed half sentense * Add max_depth * moved comment position * Describe max depth in algo description * Allow with_labels to be specified as a str * Update networkx/readwrite/text.py Co-authored-by: Mridul Seth <mail@mriduls.com> * Add network text autodoc stub * Add removal note for forest_str --------- Co-authored-by: Dan Schult <dschult@colgate.edu> Co-authored-by: Mridul Seth <mail@mriduls.com>
* Remove gdal dependency * [skip ci] Rm mention of gdal from roadmap. Co-authored-by: Ross Barnowski <rossbar@berkeley.edu> Co-authored-by: Mridul Seth <seth.mridul@gmail.com>
Co-authored-by: dtuncturk <dilaramemis@sabanciuniv.edu>
* Step 1: use sparse arrays in nx.to_scipy_sparse_matrix. Seems like a reasonable place to start. nx.to_scipy_sparse_matrix is one of the primary interfaces to scipy.sparse from within NetworkX. * 1: Use np.outer instead of mult col/row vectors Fix two instances in modularitymatrix where a new 2D array was being created via an outer product of two \"vectors\". In the matrix case, this was a row vector \* a column vector. In the array case this can be disambiguated by being explicit with np.outer. * Update _transition_matrix in laplacianmatrix module - A few instances of matrix multiplication operator - Add np.newaxis + transpose to get shape right for broadcasting - Explicitly convert e.g. sp.sparse.spdiags to a csr_array. * Update directed_combinitorial_laplacian w/ sparse array. - Wrap spdiags in csr_array and update matmul operators. * Rm matrix-specific code from lgc and hmn modules - Replace .A call with appropriate array semantics - wrap sparse.diags in csr_array. * Change hits to use sparse array semantics. - Replace * with @ - Remove superfluous calls to flatten. * Update sparse matrix usage in layout module. - Simplify lil.getrowview call - Wrap spdiags in csr_array. * lil_matrix -> lil_array in graphmatrix.py. * WIP: Start working on algebraic connectivity module. * Incorporate auth mat varname feedback. * Revert 1D slice and comment for 1D sparse future. * Add TODOs: rm csr_array wrapper around spdiags etc. * WIP: cleanup algebraicconn: tracemin_fiedler. * Typo. * Finish reviewing algebraicconnectivity. * Convert bethe_hessian matrix to use sparse arrays. * WIP: update laplacian. Update undirected laplacian functions. * WIP: laplacian - add comment about _transition_matrix return types. * Finish laplacianmatrix review. * Update attrmatrix. * Switch to official laplacian function. * Update pagerank to use sparse array. * Switch bipartite matrix to sparse arrays. * Check from_scipy_sparse_matrix works with arrays. Modifies test suite. * Apply changes from review. * Fix failing docstring tests. * Fix missing axis for in-place multiplication. * Use scipy==1.8rc2 * Use matrix multiplication * Fix PyPy CI * [MRG] Create plot_subgraphs.py example (#5165) * Create plot_subgraphs.py https://github.com/networkx/networkx/issues/4220 * Update plot_subgraphs.py black * Update plot_subgraphs.py lint plus font_size * Update plot_subgraphs.py added more plots * Update plot_subgraphs.py removed plots from the unit test and added comments * Update plot_subgraphs.py lint * Update plot_subgraphs.py typos fixed * Update plot_subgraphs.py added nodes to the plot of the edges removed that was commented out for whatever reason * Update plot_subgraphs.py revert the latest commit - the line was commented out for a reason - it's broken * Update plot_subgraphs.py fixed node color issue * Update plot_subgraphs.py format fix * Update plot_subgraphs.py forgot to draw the nodes... now fixed * Fix sphinx warnings about heading length. * Update examples/algorithms/plot_subgraphs.py * Update examples/algorithms/plot_subgraphs.py Co-authored-by: Ross Barnowski <rossbar@berkeley.edu> Co-authored-by: Dan Schult <dschult@colgate.edu> * Add traveling salesman problem to example gallery (#4874) Adds an example of the using Christofides to solve the TSP problem to the example galery. Co-authored-by: Ross Barnowski <rossbar@berkeley.edu> * Fixed inconsistent documentation for nbunch parameter in DiGraph.edges() (#5037) * Fixed inconsistent documentation for nbunch parameter in DiGraph.edges() * Resolved Requested Changes * Revert changes to degree docstrings. * Update comments in example. * Apply wording to edges method in all graph classes. Co-authored-by: Ross Barnowski <rossbar@berkeley.edu> * Compatibility updates from testing with numpy/scipy/pytest rc's (#5226) * Rm deprecated scipy subpkg access. * Use recwarn fixture in place of deprecated pytest pattern. * Rm unnecessary try/except from tests. * Replace internal `close` fn with `math.isclose`. (#5224) * Replace internal close fn with math.isclose. * Fix lines in docstring examples. * Fix Python 3.10 deprecation warning w/ int div. (#5231) * Touchups and suggestions for subgraph gallery example (#5225) * Simplify construction of G with edges rm'd * Rm unused graph attribute. * Shorten categorization by node type. * Simplify node coloring. * Simplify isomorphism check. * Rm unit test. * Rm redundant plotting of each subgraph. * Use new package name (#5234) * Allowing None edges in weight function of bidirectional Dijkstra (#5232) * added following feature also to bidirectional dijkstra: The weight function can be used to hide edges by returning None. * changed syntax for better readability and code duplicate avoidance Co-authored-by: Hohmann, Nikolas <nikolas.hohmann@tu-darmstadt.de> * Add an FAQ about assigning issues. (#5182) * Add FAQ about assigning issues. * Add note about linking issues from new PRs. * Update dev deps (#5243) * Update minor doc issues with tex notation (#5244) * Add FutureWarnings to fns that return sparse matrices - biadjacency_matrix. - bethe_hessian_matrix. - incidence_matrix. - laplacian functions. - modularity_matrix functions. - adjacency_matrix. * Add to_scipy_sparse_array and use it everywhere. Add a new conversion function to preserve array semantics internally while not altering behavior for users. Also adds FutureWarning to to_scipy_sparse_matrix. * Add from_scipy_sparse_array. Supercedes from_scipy_sparse_matrix. * Handle deprecations in separate PR. * Fix docstring examples. Co-authored-by: Mridul Seth <mail@mriduls.com> Co-authored-by: Jarrod Millman <jarrod.millman@gmail.com> Co-authored-by: Andrew Knyazev <andrew.knyazev@ucdenver.edu> Co-authored-by: Dan Schult <dschult@colgate.edu> Co-authored-by: eskountis <56514439+eskountis@users.noreply.github.com> Co-authored-by: Anutosh Bhat <87052487+anutosh491@users.noreply.github.com> Co-authored-by: NikHoh <nikhoh@web.de> Co-authored-by: Hohmann, Nikolas <nikolas.hohmann@tu-darmstadt.de> Co-authored-by: Sultan Orazbayev <contact@econpoint.com> Co-authored-by: Mridul Seth <mail@mriduls.com>
* Add matrix_market reference stub. * Add R/W examples to matrix_market stub. * Add matrix market to toctree. * Remove irrelevant factoid. * Re-name according to review suggestion.
* WIP: adding getattr to nx_yaml module. * WIP: Tests that informative exceptions raised. * Add tests for informative messages. * Add getattrs to higher-up pkgs. * Remove test_yaml.py * Remove pyyaml from requirements. * Update examples in warning messages. Ensure they are correct, runnable examples. * Add security warning and removal time to message. * Cp __getattr__ to other mods/pkgs. * Update deprecation notes w/ getattrs. * Remove yaml section from docs.
* Update docs with all functions not added to rst files Also add script to find these functions * put back removed periods after references