faucetsdn / faucet / raspbian / bullseye / python3-networkx_2.5_all.deb

python3-networkx_2.5_all.deb

STEP 1: Have you installed this repository?

If not, run this installation script command:

curl -s https://packagecloud.io/install/repositories/faucetsdn/faucet/script.deb.sh | sudo bash

STEP 2: Install the package

sudo apt-get install python3-networkx=2.5

tool to create, manipulate and study complex networks (Python3)

Full description:
  tool to create, manipulate and study complex networks (Python3)
 NetworkX is a Python-based package for the creation, manipulation, and
 study of the structure, dynamics, and functions of complex networks.
 .
 The structure of a graph or network is encoded in the edges (connections,
 links, ties, arcs, bonds) between nodes (vertices, sites, actors). If
 unqualified, by graph it's meant a simple undirected graph, i.e. no
 self-loops and no multiple edges are allowed. By a network it's usually
 meant a graph with weights (fields, properties) on nodes and/or edges.
 .
 The potential audience for NetworkX includes: mathematicians, physicists,
 biologists, computer scientists, social scientists.
 .
 This package contains the Python 3 version of NetworkX.

Checksums

MD5	1fe00f44adbf2ea24ccffaca63526cb0
SHA1	0febf35a9cba2dcadf73266c4cc337f9c244d2a5
SHA256	22d7c5da0e5369dadee0331ccc1199fb9068419b7c91b8dd285a450bb4b5845c
SHA512	6f4a8f2bee939246864e9778a01330f8ed9a1ca6706d47ee1230fc6896a0f590cf833ed8656610dee30abc230849890aac732ae98c9c2cbacc4e4bde0b530dab

Depends

python3-pkg-resources, python3-decorator (>= 4.3.0), python3:any

Recommends

python3-gdal, python3-matplotlib, python3-numpy, python3-pydot, python3-pygraphviz, python3-scipy, python3-yaml

Suggests

python-networkx-doc

Breaks

androguard (<< 3.3.5-2~), python3-django-hyperkitty (<< 1.3.0-1.1~), python3-skimage (<< 0.16.2-1~)

Files

/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_reciprocity.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_planarity.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_planar_drawing.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_non_randomness.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_moral.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_mis.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_minors.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_max_weight_clique.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_matching.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_lowest_common_ancestors.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_link_prediction.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_isolate.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_hybrid.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_hierarchy.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_graphical.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_graph_hashing.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_euler.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_efficiency.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_dominating.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_dominance.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_distance_regular.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_distance_measures.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_dag.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_d_separation.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_cycles.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_cuts.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_covering.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_core.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_communicability.py
/usr/lib/python3/dist-packages/networkx/algorithms/tests/test_cluster.py

Uploaded

over 3 years ago

Package Size

879 KB

Installed Size

4.78 MB

Downloads

wget

wget --content-disposition "https://packagecloud.io/faucetsdn/faucet/packages/raspbian/bullseye/python3-networkx_2.5_all.deb/download.deb?distro_version_id=233"

Homepage

https://networkx.github.io/