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seasonal

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0.3.1 seasonal-0.3.1-py2.py3-none-any.whl

Wheel Details

Project: seasonal
Version: 0.3.1
Filename: seasonal-0.3.1-py2.py3-none-any.whl
Download: [link]
Size: 18124
MD5: cf7a535e866bcd22e63985cbf46b7aae
SHA256: d96358c7e510926ebc11a72352d8dcf6d233256da9b796c3da028190616f1d26
Uploaded: 2016-06-11 21:18:31 +0000

dist-info

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

METADATA

Metadata-Version: 2.0
Name: seasonal
Version: 0.3.1
Summary: Estimate trend and seasonal effects in a timeseries
Author: Will Welch
Author-Email: github[at]quietplease.com
Home-Page: https://github.com/welch/seasonal
License: MIT
Keywords: timeseries,seasonality,seasonal adjustment,detrend,robust estimation,theil-sen,Holt-Winters
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pandas; extra == "CSV"
Requires-Dist: matplotlib; extra == "PLOT"
Provides-Extra: CSV
Provides-Extra: PLOT
[Description omitted; length: 1146 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.29.0)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
seasonal/__init__.py sha256=qPWlAntLLh_ZNL1104j1iGKzU8r1Y7lQi3MF3IYv9uM 788
seasonal/__main__.py sha256=6Johy6rSjCTwwy04Zr_Vmi53hrzReeu8AFezgWgPMY4 170
seasonal/application.py sha256=LAvTtspgE3f6jQY1v9WG325QYMM4G8DMMtz4geSQteU 13197
seasonal/periodogram.py sha256=Rd1blqPBCs8jCifbv-MRH-W7X-yzehVv82KqCRPikdA 4374
seasonal/seasonal.py sha256=0JYLcWN14UjwKPLYn9hHAbanvBLh01s9O0G9t0tVNrs 8160
seasonal/sequences.py sha256=pynf2mI6N-gE_Pwu9V9Bo2Lxl-HVXGEcw9qRuJTHlpY 3888
seasonal/trend.py sha256=qMYxYrTX5Z9W7KHjw9uv8IEreYSKidDrLsysWiCRvvg 5927
seasonal/version.py sha256=xetwTfV1gMIOOt_U5MChGgYN9q_XPLhGWyQiKI8fdIs 171
seasonal/data/airPassengers.csv sha256=zoWqHLLWZl9AA4VMVVjRyXjFFzr8S6ckJiDllxWhjgA 1058
seasonal/data/beer.csv sha256=ura2T_Voq_M2SyUTt8iL3eObw5OzPVMq_7QTux2uxSI 2641
seasonal-0.3.1.dist-info/DESCRIPTION.rst sha256=Uw4ygz1IBhuyQZJnXEgQowHCncjZ1baOaRw0aGa6BUc 1146
seasonal-0.3.1.dist-info/METADATA sha256=yBDc6DI_LLaVEyJp3NZQJKKcJ8qhs9iMYeDtqxI7PJ4 1894
seasonal-0.3.1.dist-info/RECORD — —
seasonal-0.3.1.dist-info/WHEEL sha256=o2k-Qa-RMNIJmUdIc7KU6VWR_ErNRbWNlxDIpl7lm34 110
seasonal-0.3.1.dist-info/entry_points.txt sha256=WbMADUAJRtyaUU126sDDxTsdcU1kEidFOtawAdqE4d0 190
seasonal-0.3.1.dist-info/metadata.json sha256=_qOcmkCYN-TUq60Wao1ppZ76HHEsaj8I4VDnAApm3I8 1442
seasonal-0.3.1.dist-info/top_level.txt sha256=slOU1RwP3C41ooSge2r-7iYgz7S3vKceYnp8dhAC1is 9

top_level.txt

seasonal

entry_points.txt

[console_scripts]
seasonal = seasonal.application:seasonal_cmd [csv]
seasonal.periodogram = seasonal.application:periodogram_cmd [csv]
seasonal.trend = seasonal.application:trend_cmd [csv]