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ts-analysis

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0.0.3 ts_analysis-0.0.3-py2.py3-none-any.whl

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Project: ts-analysis
Version: 0.0.3
Filename: ts_analysis-0.0.3-py2.py3-none-any.whl
Download: [link]
Size: 16799
MD5: d77f5d0f0aad719584a7f4c402f1cebc
SHA256: ab4c928e0910ad9971ebc74b843ea80a749b8030e04fa3a482e24da7dfd722ea
Uploaded: 2021-04-02 18:52:41 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: ts-analysis
Version: 0.0.3
Summary: Scripts to find reoccuring patterns in time series.
Author: Genevieve Bartlett, USC/ISI
Author-Email: bartlett[at]isi.edu
Home-Page: https://git.ant.isi.edu/GAWSEED
Keywords: time series network events time motif motifs signal processing fsdb
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Requires-Dist: pandas (>=0.25.0)
Requires-Dist: matplotlib (>=3.1.2)
Requires-Dist: matrixprofile-ts (==0.0.8)
Requires-Dist: pyfsdb (>=1.1.19)
Requires-Dist: scipy (>=1.6.0)
Requires-Dist: numpy (>=1.19.5)
Requires-Dist: check-manifest; extra == "dev"
Requires-Dist: coverage; extra == "test"
Provides-Extra: dev
Provides-Extra: test
Description-Content-Type: text/markdown
[Description omitted; length: 945 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.36.2)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
analysis/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
analysis/correlation.py sha256=kxnKtY7fAVdUA8XlsTo3k7CvvwXpRtK-V1wwLf1AyBQ 6608
analysis/timeMotif.py sha256=I6VRebrY0hdXk3fOXQ_WRUiJa6yLNDiufiOVvTxd8HM 14807
helpers/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
helpers/analysis.py sha256=f7YhxBJJhUqidjRtKUoLfFl5suYl1Sgpqw2dIKIZMOY 980
helpers/input.py sha256=wmTbIY9bdQiF7xCD36OoeJbzZjbpvtsrQSO1zHnJ-OE 5067
helpers/timeseries.py sha256=2QKNXwbc-bapRYW2atzC2jU54aQJvavAHjqXPiGutd0 1800
input/FSDB.py sha256=DlujOozH4q0Ip1rpXe5Nc0o9fBkZyJGiSY0IDv99r_s 1858
input/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
output/DF.py sha256=aYu5P63MrBkqaed8hot5s6Mri0ng_taoHAaDUGinluc 1029
output/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
output/timeMotifGraph.py sha256=JkJnT5SzsEhl1srIPTlUcp-goCuBLRQj_nv_Cj_W1KY 3418
util/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
util/util.py sha256=R3imk-nvNNASSfTcAUmRE05oSwq7fhkvGXexK3z56l4 986
ts_analysis-0.0.3.dist-info/LICENSE.txt sha256=p53IRqCDDFBb45X3Lfek65gXC3P2R8rTT02eXsr4QOI 1104
ts_analysis-0.0.3.dist-info/METADATA sha256=urjWM3mgEFZ-HeWUFRfKWAkJqsJ9GQ0zkZ-nIJc6MlE 2032
ts_analysis-0.0.3.dist-info/WHEEL sha256=Z-nyYpwrcSqxfdux5Mbn_DQ525iP7J2DG3JgGvOYyTQ 110
ts_analysis-0.0.3.dist-info/entry_points.txt sha256=xG0vD3DndMBJIYYnLDQhEdHIFhxEKAcHhNqaIb94m9o 48
ts_analysis-0.0.3.dist-info/top_level.txt sha256=IjEK1bVqzkoqwdRBu4YqcDRi_h8Go4HU9Cv26JDqK18 35
ts_analysis-0.0.3.dist-info/RECORD — —

top_level.txt

analysis
helpers
input
output
util

entry_points.txt

[console_scripts]
tsanalysis = tsanalysis:main