Wheelodex » Projects » AdvEMDpy

AdvEMDpy

View on PyPI — Reverse Dependencies (0)

0.0.15 AdvEMDpy-0.0.15-py3-none-any.whl

Wheel Details

Project: AdvEMDpy
Version: 0.0.15
Filename: AdvEMDpy-0.0.15-py3-none-any.whl
Download: [link]
Size: 102145
MD5: 4143681b1809cf87662dc6722652359c
SHA256: 22e8842be18b7aecb4963874e971717a958ed28e3cfc8ab438deea36e02a1310
Uploaded: 2022-09-29 12:26:33 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: AdvEMDpy
Version: 0.0.15
Summary: Advanced Empirical Mode Decomposition package with numerous extensions to various aspects of core algorithm.
Author: Cole van Jaarsveldt
Author-Email: colevj0303[at]gmail.com
Home-Page: https://github.com/Cole-vJ/AdvEMDpy.git
Download-Url: https://github.com/Cole-vJ/AdvEMDpy/archive/refs/tags/v0.0.15.tar.gz
License: gpl-3.0
Keywords: EMPIRICAL MODE DECOMPOSITION,EMD,STATISTICAL EMPIRICAL MODE DECOMPOSITION,SEMD,ENHANCED EMPIRICAL MODE DECOMPOSITION,EEMD,ENSEMBLE EMPIRICAL MODE DECOMPOSITION,HILBERT TRANSFORM,TIME SERIES ANALYSIS,FILTERING,GRADUATION,WINSORIZATION,DOWNSAMPLING,SPLINES,KNOT OPTIMISATION,PYTHON,R,MATLAB,FULL-SPECTRUM ENSEMBLE EMPIRICAL MODE DECOMPOSITION,FSEEMD,COMPRESSIVE SAMPLING,COMPRESSIVE SAMPLING EMPIRICAL MODE DECOMPOSITION,CSEMD
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3.7
Requires-Dist: numpy
Requires-Dist: seaborn
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: cvxpy
Requires-Dist: colorednoise
Requires-Dist: pytest
Requires-Dist: PyEMD
Requires-Dist: emd
Requires-Dist: pandas
License-File: LICENSE
[Description omitted; length: 284 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
AdvEMDpy/AdvEMDpy.py sha256=boGR-auerk2k7M52YMAJgPK3c9BIcAU52dX-ycilpL0 172480
AdvEMDpy/CASE_STUDY_carbon_dioxide_and_carbon_etf.py sha256=oBJywacbE00fH08TDgQj5JfSxahPtYdkcY14YG6AdyE 13303
AdvEMDpy/CASE_STUDY_human_mortality_database_death_rate.py sha256=mdCJzXJzbMDREVIZGrecAc1HkaOz5yi5DczvyCd0PT8 11632
AdvEMDpy/CASE_STUDY_human_mortality_database_monthly_birth_rate.py sha256=-EjjORS4FCqlYP4vzI6FR13Uce8ECiJHsnx_5bt_WdA 16283
AdvEMDpy/CASE_STUDY_noise.py sha256=u--rswz9z-2ZNiULxdcyEK-nC7e07ZU5nUdn93hE6Mk 14481
AdvEMDpy/README_images.py sha256=QGrZh80kYjEZcRXcko2viAJcZP2S3_LqZMdj2ygNICQ 1075
AdvEMDpy/__init__.py sha256=oujdA7JnPtBYEyxyrqdw-axkrB-Myy54mr9C2F1I36E 164
AdvEMDpy/aas_figures_replication_script.py sha256=1SUnAppM38_QMU7H5CLNkx208RcWDHF0wqie3qfUyfs 74275
AdvEMDpy/emd_basis.py sha256=sjchrpxvdQjVbzv4MixWw511wZAKJNRwrXkTPKWoqU0 45090
AdvEMDpy/emd_experimental.py sha256=iYjHVOFs9_-KGwjxGYJ9OlbKrst9JdIKe6nZigLdB6A 13852
AdvEMDpy/emd_hilbert.py sha256=e8MElrEdkoiwEn44JMa4M2_Z5oxpyqzsyEGIw87N8GU 17941
AdvEMDpy/emd_mean.py sha256=uJQoUE_DiT8SyjajOqqf3jx05Y-x7Ec8ZtxcmSXcVL0 90676
AdvEMDpy/emd_preprocess.py sha256=y8R18xg8x5CcereSYYf-cUnGguAUGPmf3b8AVivhLw8 19185
AdvEMDpy/emd_unit_test.py sha256=rsNkunFqUGbG0AzqMUPwiM5zNbHj5H1YJutGxLMgdvQ 96586
AdvEMDpy/emd_utils.py sha256=KzJFUwrBHA1U3glf1UFdPrDz5VigDZE8ELtLG_p0kYM 10994
AdvEMDpy-0.0.15.dist-info/LICENSE sha256=GVKdg9zIpARnxNrFwiI5JI9Yi8rpFKmzKBzMQmgxGig 31755
AdvEMDpy-0.0.15.dist-info/METADATA sha256=4VJuu_d9iw2x_WGy22dJrTvxiaICctQuAVzmF077zjs 1635
AdvEMDpy-0.0.15.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
AdvEMDpy-0.0.15.dist-info/top_level.txt sha256=uRMGuh514Ewxeu0rR5bieAs-T42EGT68sVMTEbS4RP0 9
AdvEMDpy-0.0.15.dist-info/RECORD — —

top_level.txt

AdvEMDpy