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EMD-signal

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1.6.0

EMD_signal-1.6.0-py3-none-any.whl

Wheel Details

Project:	EMD-signal
Version:	1.6.0
Filename:	EMD_signal-1.6.0-py3-none-any.whl
Download:	[link]
Size:	74582
MD5:	`b32237df026dca909cca250f32c83a37`
SHA256:	`cd0e6c0bf29fb776fd222c71d56ebabb76cff34724e2cf25882eff0c2e9533d9`
Uploaded:	2024-03-21 04:48:33 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	EMD-signal
Version:	1.6.0
Summary:	Implementation of the Empirical Mode Decomposition (EMD) and its variations
Author:	Dawid Laszuk
Author-Email:	pyemd[at]dawid.lasz.uk
Home-Page:	https://github.com/laszukdawid/PyEMD
License:	Apache-2.0
Keywords:	signal decomposition data analysis
Classifier:	Intended Audience :: Information Technology
Classifier:	Intended Audience :: Science/Research
Classifier:	Topic :: Scientific/Engineering
Classifier:	Topic :: Scientific/Engineering :: Information Analysis
Classifier:	Topic :: Scientific/Engineering :: Mathematics
Requires-Python:	<4,>=3.6
Requires-Dist:	numpy (>=1.12)
Requires-Dist:	scipy (>=0.19)
Requires-Dist:	pathos (>=0.2.1)
Requires-Dist:	tqdm (<5.0,>=4.64.0)
Requires-Dist:	pycodestyle (==2.11.*); extra == "dev"
Requires-Dist:	black (==24.3.*); extra == "dev"
Requires-Dist:	isort (==5.12.*); extra == "dev"
Requires-Dist:	sphinx; extra == "doc"
Requires-Dist:	sphinx-rtd-theme; extra == "doc"
Requires-Dist:	numpydoc; extra == "doc"
Requires-Dist:	numba (==0.56.*); extra == "jit"
Requires-Dist:	pytest; extra == "test"
Requires-Dist:	codecov; extra == "test"
Provides-Extra:	dev
Provides-Extra:	doc
Provides-Extra:	jit
Provides-Extra:	test
Description-Content-Type:	text/markdown
License-File:	LICENSE.md

[Description omitted; length: 7143 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.43.0)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
PyEMD/BEMD.py	sha256=mMJH_g-FMEcKT-tJTdYZ5-jJZPPzhGIhxoZaAGK45U0	10903
PyEMD/CEEMDAN.py	sha256=OwMtpxZpw4hOyQEUaT3NLELv1lcljaqzXmBraOD8Y1s	15218
PyEMD/EEMD.py	sha256=VgdgapnI14BcVnbynGGlIu88P6LPCDxq6OON3YflNPA	11327
PyEMD/EMD.py	sha256=W_KJ9NF5s-mJVk4oa_RJ_c-jSot8R3aNBgTLD39kNKA	37661
PyEMD/EMD2d.py	sha256=-KOBPT6S2JqboztWqr8U5RkH-cvmWz_DduAHXV_3Nrs	14025
PyEMD/EMD_matlab.py	sha256=YnpvsAmwxCoL--dOyO0Zi1SaD291Su-D1H92bZGJNio	23480
PyEMD/__init__.py	sha256=UV8H6McrEfD-_GvyOsBgrBpXf__8oOX1Lk0D_4IjTmc	241
PyEMD/checks.py	sha256=tN7XYYFyFnC-EGoXb6AjQ4t4mtL9xqoVbcnbImWpy0Q	5290
PyEMD/compact.py	sha256=FEAGvrcrdCh1c0iQ4ZeVFULQfFLcoWPJPFleJPhEj-E	4132
PyEMD/splines.py	sha256=W-qHSl7qeqtaqdRJi1airFMZAVAuBXvTE9LoQ5oevso	1657
PyEMD/utils.py	sha256=iWgmgvdqXG-4sYRaU1Mg8IzJJf5oXFT6wPeDJ3Vi_ng	2019
PyEMD/visualisation.py	sha256=a19IXaRca-w6pZN8NQ-d6CwNGLH-UQRmi-Fvl7EL1MY	6110
PyEMD/experimental/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
PyEMD/experimental/jitemd.py	sha256=f-6-EaapPmWgfzhwQcJjYvf6dOvSVUEmL_dDH5BsmhA	34760
PyEMD/tests/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
PyEMD/tests/test_all.py	sha256=tY8WpnO7vdVKWda_FvqG-AUG1vBEP_qmO5O2ZutqB64	287
PyEMD/tests/test_bemd.py	sha256=bXuCRfoE1cnbYWL9tZKaDghgvr1o1KXkBaYA-NoRnuI	3902
PyEMD/tests/test_ceemdan.py	sha256=PeFoLx2jVlTQdBQ8dJddlmSi3-n_Mf6yBX_RNPHAUsk	6119
PyEMD/tests/test_checks.py	sha256=EFrP0sTMfIPB10QyyQffvfomYyVOxQ7bgnwNE-rp0O0	5715
PyEMD/tests/test_compact.py	sha256=mvE3lec8paqxteBMxL3bbcM8NDRqzsMG5cFo2b8BrKc	1962
PyEMD/tests/test_eemd.py	sha256=Xtywlk1Tg8khpxlh2QGdMnwcQ7zoHGgb4bzIe5eWXwY	6532
PyEMD/tests/test_emd.py	sha256=8L9MKJJEH_EA-r154JTyjVS4q48xza49ajZxdh8Xo1Y	7366
PyEMD/tests/test_emd2d.py	sha256=w8xyX9LQWx3TGYMwPesTb8nuhQvL5DxY6T-z7vw0dg8	9910
PyEMD/tests/test_extrema.py	sha256=F4tZ9nCyOgxJtZgcTphvbE3XOaeucwU-_jaPERRTKv0	10448
PyEMD/tests/test_splines.py	sha256=AEp1ZkuqUIAnkGBZc5mRGRTW7EEuOyTh4Z1IoVds5Ks	3190
PyEMD/tests/test_utils.py	sha256=bHAxrRdbcy1pAx2H_wEW4d9nMf0FMzNeb5biZFDABa4	1878
PyEMD/tests/test_visualization.py	sha256=5Fg3BocIy5BDk7EgA0zmdBcUB-nSrTU0ESIvTiUclFc	3831
EMD_signal-1.6.0.dist-info/LICENSE.md	sha256=G1y7QIg50facj1Vv53PDPph6PgUHwD_GcSa8gqEL98Y	10758
EMD_signal-1.6.0.dist-info/METADATA	sha256=OwezP1dpAkcJkbV_od8hJy3HGEPN5SjsSLcj_k4dxzQ	8424
EMD_signal-1.6.0.dist-info/WHEEL	sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ	92
EMD_signal-1.6.0.dist-info/top_level.txt	sha256=z-hVqUpp8_WMbw4YbhYggDU_FhdMfzRQCzxgl66AV9Q	6
EMD_signal-1.6.0.dist-info/RECORD	—	—

top_level.txt

PyEMD