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incline

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0.1.3

incline-0.1.3-py2.py3-none-any.whl

Wheel Details

Project:	incline
Version:	0.1.3
Filename:	incline-0.1.3-py2.py3-none-any.whl
Download:	[link]
Size:	350681
MD5:	`213634d24730637399ed1b2746710475`
SHA256:	`bf684765137860cf6d20bfff91403afd6bbefab27704b0803c05b93eafb864ca`
Uploaded:	2019-04-24 03:50:30 +0000

dist-info

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

METADATA

Metadata-Version:	2.1
Name:	incline
Version:	0.1.3
Summary:	Estimate Trend at a Particular Point in a Noisy Time Series
Author:	Suriyan Laohaprapanon, Gaurav Sood
Author-Email:	suriyant[at]gmail.com, gsood07[at]gmail.com
Home-Page:	https://github.com/soodoku/incline
License:	MIT
Requires-Dist:	pandas (>=0.19.2)
Requires-Dist:	numpy (>=1.12.1)
Requires-Dist:	check-manifest; extra == "dev"
Requires-Dist:	coverage; extra == "test"
Provides-Extra:	dev
Provides-Extra:	test

[Description omitted; length: 71 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.31.1)
Root-Is-Purelib:	true
Tag:	py2-none-any
Tag:	py3-none-any

RECORD

Path	Digest	Size
incline/__init__.py	sha256=pmdksnFPDmkQV-1DqvrGLOSFbcbpC2sxAVJTib3_tYo	200
incline/trend.py	sha256=boRHePrqIaBD5vGVtmnO11Xou1KrkwVbC-3Jp3TDIz8	5134
incline/data/AAPL.csv	sha256=sbvf2Oh6s_cXWih0kd0F_lYRew2n5LmUGs9QkImCLBA	248981
incline/data/GOOG.csv	sha256=ELKFrB7ZnS_1nvLJDmLCPLmlqV-NGZPq_dtwTfO60D4	260037
incline/data/MSFT.csv	sha256=0YC2nGJpcFsLO2ya5h8eBZo7SRXQl72e8K4O76YkO28	245823
incline/examples/incline_example.ipynb	sha256=53dxP2zYnZHiScaZ8QxpVKSD318jlf4PzFkRWrrRjFo	155366
incline-0.1.3.dist-info/METADATA	sha256=_Sdcn4k6uY5zRdBejIHaa4urYRQCliISlxAfjc9EFAo	539
incline-0.1.3.dist-info/RECORD	—	—
incline-0.1.3.dist-info/WHEEL	sha256=CG516Me1TEyQqkQMqQpnDadrWi7ujPk88poSAu3OliQ	116
incline-0.1.3.dist-info/entry_points.txt	sha256=eqGnTHtEVMYwfXVk1Z9MhC8O2N8wuqAbr0lisLmrkxs	20
incline-0.1.3.dist-info/top_level.txt	sha256=tQT2JaNQPuvQSG-hlHQqOiPtzGAzEp3vWcqavqfYWxc	8

top_level.txt

incline

entry_points.txt

[console_scripts]