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ipfn

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1.4.4

ipfn-1.4.4-py2.py3-none-any.whl

Wheel Details

Project:	ipfn
Version:	1.4.4
Filename:	ipfn-1.4.4-py2.py3-none-any.whl
Download:	[link]
Size:	7382
MD5:	`e11879288f2e3710622ce3c67ffeb0e9`
SHA256:	`a0b5f3c9c5de8c71207cc88f1e51b68135d482a50d7035c58f3e202d33a6b026`
Uploaded:	2021-12-30 22:17:17 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	ipfn
Version:	1.4.4
Summary:	Iterative Proportional Fitting with N dimensions, for python
Author:	Damien Forthommme
Author-Email:	damien2227[at]hotmail.com
Home-Page:	https://github.com/Dirguis/ipfn.git
License:	MIT
Keywords:	iterative proportional fitting ipfp biproportional ras raking scaling
Classifier:	Development Status :: 4 - Beta
Classifier:	Intended Audience :: Science/Research
Classifier:	Topic :: Software Development :: Build Tools
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Programming Language :: Python :: 3
Platform:	Any
Requires-Dist:	pandas (>=0.22.0)
Requires-Dist:	numpy

[Description omitted; length: 7304 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.37.1)
Root-Is-Purelib:	true
Tag:	py2-none-any
Tag:	py3-none-any

RECORD

Path	Digest	Size
ipfn/__init__.py	sha256=bsAh2-hE6UlQVEieanGDUNC1VdYoThCTp4r8Uj3jLuQ	42
ipfn/ipfn.py	sha256=iS0YD35bSmxInmEYEaoudwH950WZ2AbdhWgSTCH_k6E	12200
ipfn-1.4.4.dist-info/METADATA	sha256=cPjslhtheD_2ThAj9ZHbhIf-KcEmGKo5X38gj9qrcxk	7943
ipfn-1.4.4.dist-info/WHEEL	sha256=z9j0xAa_JmUKMpmz72K0ZGALSM_n-wQVmGbleXx2VHg	110
ipfn-1.4.4.dist-info/top_level.txt	sha256=3TWlyylXx0dnWc7d38yPYsS08zHM3St9g1mtyFAuS_g	5
ipfn-1.4.4.dist-info/RECORD	—	—

top_level.txt

ipfn