Wheelodex » Projects » networkx-temporal

networkx-temporal

View on PyPI — Reverse Dependencies (1)

1.2 networkx_temporal-1.2-py3-none-any.whl

Wheel Details

Project: networkx-temporal
Version: 1.2
Filename: networkx_temporal-1.2-py3-none-any.whl
Download: [link]
Size: 52308
MD5: 179e65543d12d5223624a921b6c76487
SHA256: 7b8bf29806f02e69db661f828af2b786a81cae09c906382c529599229919c237
Uploaded: 2024-12-02 22:04:36 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: networkx-temporal
Version: 1.2
Summary: Python package to build and manipulate dynamic NetworkX graphs.
Author-Email: Nelson Aloysio Reis de Almeida Passos <nelson.reis[at]phd.unipi.it>
Project-Url: Homepage, https://pypi.org/p/networkx-temporal/
Project-Url: Documentation, https://networkx-temporal.readthedocs.io
Project-Url: Repository, https://github.com/nelsonaloysio/networkx-temporal
Project-Url: Issues, https://github.com/nelsonaloysio/networkx-temporal/issues
Project-Url: Changelog, https://github.com/nelsonaloysio/networkx-temporal/blob/main/CHANGELOG.md
Keywords: Network,Graph,Dynamic Graph,Temporal Network
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.7
Requires-Dist: networkx (>=2.1)
Requires-Dist: pandas (>=1.1.0)
Requires-Dist: sphinx-autodoc-typehints (>=1.23.0); extra == "docs"
Requires-Dist: sphinx-rtd-theme (>=2.0.0); extra == "docs"
Requires-Dist: sphinxemoji (>=0.2.0); extra == "docs"
Requires-Dist: matplotlib; extra == "draw"
Requires-Dist: scipy; extra == "draw"
Requires-Dist: ipykernel; extra == "ipynb"
Requires-Dist: leidenalg; extra == "ipynb"
Requires-Dist: matplotlib; extra == "ipynb"
Requires-Dist: python-igraph; extra == "ipynb"
Requires-Dist: scipy; extra == "ipynb"
Requires-Dist: dgl; extra == "test"
Requires-Dist: dynetx; extra == "test"
Requires-Dist: leidenalg; extra == "test"
Requires-Dist: matplotlib; extra == "test"
Requires-Dist: networkit; extra == "test"
Requires-Dist: python-igraph; extra == "test"
Requires-Dist: scipy; extra == "test"
Requires-Dist: snap-stanford; extra == "test"
Requires-Dist: stellargraph; extra == "test"
Requires-Dist: teneto; extra == "test"
Requires-Dist: torch_geometric; extra == "test"
Provides-Extra: docs
Provides-Extra: draw
Provides-Extra: ipynb
Provides-Extra: test
Description-Content-Type: text/markdown
License-File: LICENSE.md
[Description omitted; length: 2976 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.6.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
networkx_temporal/__init__.py sha256=HRKHD2o26lm2W-McLfuhJ3BeqmQZyqtF-OoIXwdxbyY 1302
networkx_temporal/__version__.py sha256=_YZYBb0ffXa2pyv9LP5Ocf93V_QUFXAHUa8coMDnWz4 259
networkx_temporal/drawing/__init__.py sha256=ApQYHq5Nov-kEPEZqVxh5QgkjXCrXWelM9nhfZiiWSg 622
networkx_temporal/drawing/draw.py sha256=vNQP-BPOyl7IU36aoENWaIUoxqexvx8zDzC7Eby1enQ 992
networkx_temporal/drawing/layout.py sha256=pWu4QC__FvDhxUs7vFWBRpveLXO9zz6LYns0iW34f1w 1338
networkx_temporal/drawing/networkx.py sha256=XwMZZz0gijYnISvojlChq-UPlS6nKJYWZkPQhwe-VZ8 17674
networkx_temporal/graph/__init__.py sha256=y2GrW3KzJPs7ZA3t0EBx8ttr01ej5_gAcwnkP-LrXvc 982
networkx_temporal/graph/base.py sha256=nuj7a5GSuqAWmlMiRzYnE11qY1oLvecBHQ5MLO9kpD4 12051
networkx_temporal/graph/digraph.py sha256=lsXywQA5xdjfoWCWqd8yNY1qzK6TlVPUc9MkdOQpVTE 1245
networkx_temporal/graph/factory.py sha256=n4p4VGnNDOV3IFcsOw4bekFTEHEHpzIr09oVjPm1FTM 2920
networkx_temporal/graph/graph.py sha256=896WZ1jVK2V1_luorLSvRTohRbMnSb0dJUam2HHQGHE 2749
networkx_temporal/graph/methods.py sha256=Rryump1usR_AbKDzVNLuZx-g-INQNrteUPdVYhZyZXk 3078
networkx_temporal/graph/multidigraph.py sha256=od9HPM_v5dqXLMIMu5gUXIcROWTcq0vRbcwuZiS_AFA 1272
networkx_temporal/graph/multigraph.py sha256=JJLnUO7kn-ZsmHFm4bbe5wJZ2YqaJjyTwIxhm4V47KA 1268
networkx_temporal/graph/slice.py sha256=oZ5qIBxpb8181PzhrsgXMCb9-8FM1e9Wv41vR3WpCnU 10516
networkx_temporal/io/__init__.py sha256=UVWmSg8jXPt_Obr_IA6MkY-w7cdl63EiePB-l0L1Qlw 238
networkx_temporal/io/io.py sha256=KjIXH0Ypb3OO-j9sBq64AX4SAWCfPEkiUm214KIdhP4 1848
networkx_temporal/io/reader.py sha256=0kmKs3YNKTSENip-GN3HXmnpxZpAoapBt5eRWwovt5k 3638
networkx_temporal/io/writer.py sha256=CDDo0EI-CRUp5-nTC9DQRSnnObJ7bkyd9wYD_3U8jQw 5583
networkx_temporal/metrics/__init__.py sha256=8aVsvQNA0b4YmUVqq39Gw8DbACsMnRct8Z171TRKMdM 768
networkx_temporal/metrics/base.py sha256=RqELaym0BqpbaY9IOrkPCp4pC9paUW_zo56M2eR2fB0 4657
networkx_temporal/transform/__init__.py sha256=F50FwEo9zPFPN-vlBqQsQXVx78pRWYhvsZNLAuKpL9A 607
networkx_temporal/transform/events.py sha256=t93d0i31NCA-yQfRlSuB4SurgwYyeF-xfH-yJ2IfY40 7695
networkx_temporal/transform/snapshots.py sha256=6AeuH_IZiFWyVgAB4xvtTuHsNtzCRMH9anngjU3ozdI 2623
networkx_temporal/transform/static.py sha256=89YRdCXKuKzxO6a-HBvnhCTx1JjJH-MEWUzD9xreW8Q 2947
networkx_temporal/transform/unified.py sha256=xe_enpJzQUfYGOrjzGng7RlcW5AYCxJXK0XIDu7GodA 5060
networkx_temporal/typing/__init__.py sha256=JBwyl0Vqw1mwNWjzbdlT_od1Ht3Z29CIDaPrlI00tCw 995
networkx_temporal/typing/typing.py sha256=TTZdmOtFN4nMqc5jhCw1zx22PFWzEwXijbEEcoKFRD8 1394
networkx_temporal/utils/__init__.py sha256=XwNntf1el17p0iPX98PLFiY20KC1y62Lr_p5y07airs 746
networkx_temporal/utils/networkx.py sha256=-mRVySKhSkpBYdAOmQjTZ9qOEAjdwkY1SmG53OsCFOU 5365
networkx_temporal/utils/convert/__init__.py sha256=z7u71ybaYJ2FOBoletP3ZRPZLsb6dSrqdG9O1MAUXUo 585
networkx_temporal/utils/convert/convert.py sha256=ki3jXg4ebf9y98SmULkkeLnEe2JmcwiloVyfwht4X9g 6761
networkx_temporal/utils/convert/dgl.py sha256=0UbWaYbjANCpjvEvRixh-p9zvMDiQBvh8_4acG1r3IE 1018
networkx_temporal/utils/convert/dynetx.py sha256=ywkj165d4aQwv_ZsB_4DvIUoNnEy0Nhcw_c-3iqRTN0 1205
networkx_temporal/utils/convert/graph_tool.py sha256=syzSPLMfw2oXJWIfJmNTWv20nTcdKPNfBjSw2Zwj_14 5057
networkx_temporal/utils/convert/igraph.py sha256=3Z9Fj3p0VHWaWiB2EIzxC7ugUFBpqlgl_f3JB3NvDLc 1032
networkx_temporal/utils/convert/networkit.py sha256=aZ9Z2JK2zXjAnVFFDBMt2rd1tS653vm4G38pawd075o 1069
networkx_temporal/utils/convert/snap.py sha256=iE5jUCgi0ju5HYfZLxWrTfDL0I_0n1-8cP6oScqFOL0 5131
networkx_temporal/utils/convert/stellargraph.py sha256=IpP1mzw9z7s9l1528Snlj2d6WeuP9TX3hZrDuBRRm40 1130
networkx_temporal/utils/convert/teneto.py sha256=M8iYJOEfXzwH7DMB8cmdS8v87SFT3BuMciZQz1EERSI 1133
networkx_temporal/utils/convert/torch_geometric.py sha256=xd6dirHFRWwOIaYxPqOWSTmQYlD4V5EBcbq7njHw664 1158
networkx_temporal-1.2.dist-info/LICENSE.md sha256=psrOjHpd_9ur91Hy6aNvDG-HslhlVhQmmG2LrdzR8ok 1660
networkx_temporal-1.2.dist-info/METADATA sha256=AWcftfsIfYGf6ibE1juu3yMnsNT7qUfUZPFETzYj2KQ 5186
networkx_temporal-1.2.dist-info/WHEEL sha256=PZUExdf71Ui_so67QXpySuHtCi3-J3wvF4ORK6k_S8U 91
networkx_temporal-1.2.dist-info/top_level.txt sha256=D-WibDmdgfVnMhiKGQKrW05Q5eYGyIQXclQxBjRq0XY 18
networkx_temporal-1.2.dist-info/RECORD — —

top_level.txt

networkx_temporal