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pdffit

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0.1	pdffit-0.1-py3-none-any.whl

Wheel Details

Project:	pdffit
Version:	0.1
Filename:	pdffit-0.1-py3-none-any.whl
Download:	[link]
Size:	10293
MD5:	`1ae256f15d557009ca89430c648c28ed`
SHA256:	`6c82a02c12166ba32c168fc0c2c21864138c886ff266472b9ac2b083071f1393`
Uploaded:	2021-07-01 19:42:08 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	pdffit
Version:	0.1
Summary:	Fit a Lognormal + Power law distribution to data
Author:	Shivan Khullar
Author-Email:	shivankhullar[at]gmail.com
Home-Page:	https://github.com/shivankhullar/PDF_Fit
Classifier:	Programming Language :: Python :: 3.8
Classifier:	License :: OSI Approved :: MIT License
Requires-Dist:	numpy (>=1.0)
Requires-Dist:	scipy (>=1.0)
Description-Content-Type:	text/markdown

[Description omitted; length: 1164 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.35.1)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
LNPLPL_functions.py	sha256=RvZqrMO903OAHtxgTCzBw-CxMcSX44kHBy-nEPVWCrc	18938
LNPL_functions.py	sha256=aLDoAKLjKIrt25MroDRi_hVYOi-1Jim5LSWO2ScfcmY	6560
pdf_fitter.py	sha256=1Op54QsprSHrJ41ynt7LLuzuuZPwIPlyGLDGNtzwIJ4	7685
pdffit-0.1.dist-info/LICENSE	sha256=cDNKDZ0ZAwu_oKL7QYiuykEU65kqNaPqAxX6xt2oHDM	1070
pdffit-0.1.dist-info/METADATA	sha256=kRIbKP_VRZpXJDFzusxuO6vuargvCbMSwYtHrykwGCw	1618
pdffit-0.1.dist-info/WHEEL	sha256=EVRjI69F5qVjm_YgqcTXPnTAv3BfSUr0WVAHuSP3Xoo	92
pdffit-0.1.dist-info/top_level.txt	sha256=cTn5nTiBlugczLofBLZQ84q5fic9ZEeu6-v9Camr2y8	43
pdffit-0.1.dist-info/RECORD	—	—

top_level.txt

LNPLPL_functions

LNPL_functions

pdf_fitter