pycorrfit

Scientific tool for fitting correlation curves on a logarithmic plot.

Intended Audience
- Science/Research
Operating System
- OS Independent
Programming Language
- Python :: 3
Topic
- Scientific/Engineering :: Visualization

Project description

Documentation

The documentation of PyCorrFit is available at https://pycorrfit.readthedocs.org.

Problems

If you find a bug or need help with a specific topic, do not hesitate to ask a question at the issues page.

Project details

Intended Audience
- Science/Research
Operating System
- OS Independent
Programming Language
- Python :: 3
Topic
- Scientific/Engineering :: Visualization

Release history Release notifications | RSS feed

This version

1.1.7

Oct 25, 2019

1.1.6

Feb 19, 2019

1.1.5

Nov 27, 2018

1.1.4

Jul 22, 2018

1.1.2

Jul 22, 2018

1.1.1

May 29, 2018

1.1.0

May 27, 2018

1.0.1

Aug 28, 2017

1.0.0

May 16, 2017

0.9.9

Jul 17, 2016

0.9.8

Mar 22, 2016

0.9.7

Jan 15, 2016

0.9.6

Jan 9, 2016

0.9.5

Dec 16, 2015

0.9.4

Dec 12, 2015

0.9.3

Nov 24, 2015

0.9.2

Oct 24, 2015

0.9.1

Sep 30, 2015

0.9.0

Sep 17, 2015

0.8.9

Aug 30, 2015

0.8.8

May 20, 2015

0.8.7

Apr 16, 2015

0.8.6

Feb 27, 2015

0.8.5

Jan 8, 2015

0.8.4

Dec 22, 2014

0.8.3

Apr 14, 2014

0.8.2

Jan 27, 2014

0.8.1

Jan 12, 2014

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pycorrfit-1.1.7.tar.gz (2.0 MB view hashes)

Uploaded Oct 25, 2019 source

Built Distributions

pycorrfit-1.1.7-cp36-cp36m-win_amd64.whl (838.6 kB view hashes)

Uploaded Oct 25, 2019 cp36

pycorrfit-1.1.7-cp36-cp36m-win32.whl (835.6 kB view hashes)

Uploaded Oct 25, 2019 cp36

pycorrfit-1.1.7-cp36-cp36m-manylinux1_x86_64.whl (882.3 kB view hashes)

Uploaded Oct 25, 2019 cp36

pycorrfit-1.1.7-cp36-cp36m-manylinux1_i686.whl (878.6 kB view hashes)

Uploaded Oct 25, 2019 cp36

Hashes for pycorrfit-1.1.7.tar.gz

Hashes for pycorrfit-1.1.7.tar.gz
Algorithm	Hash digest
SHA256	`1a3b2346f89edbfb3724d8b2dbcd14a32482413eb1fcee6c910e9b7fb26bccd7`
MD5	`052be4ad2c4f2bc888d8f6089be40fba`
BLAKE2-256	`f48bf47b482d50573e29f55ff0ac78b28d71cc43388c46017e496851e2a22814`

Hashes for pycorrfit-1.1.7-cp36-cp36m-win_amd64.whl

Hashes for pycorrfit-1.1.7-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`a20bc8bdf1ffdb9e4e3ee54c07d202113b24a56d95ec2f024d221c2b88a251cc`
MD5	`69b68986fea5c08455e7ec9c964620b7`
BLAKE2-256	`67dddfd4e623387773ae29d2261f99df6a2b64e5d340d5cdb758d7fa3a28928d`

Hashes for pycorrfit-1.1.7-cp36-cp36m-win32.whl

Hashes for pycorrfit-1.1.7-cp36-cp36m-win32.whl
Algorithm	Hash digest
SHA256	`e36c0cda143889a0cb119d88c8907dfe3940b8e517fd089e8ea604248642ffeb`
MD5	`709078d32ae3a854136e8b24fc9e8006`
BLAKE2-256	`05e3afb2a345591b07ef55b8e80287e9aaa19dde1c2f12419727a7e628350eda`

Hashes for pycorrfit-1.1.7-cp36-cp36m-manylinux1_x86_64.whl

Hashes for pycorrfit-1.1.7-cp36-cp36m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`4a32e69b1bb6eb3fdebce0acb5d3bed07a0cb97e7623d03dd7225d592411aa7b`
MD5	`cf9ba35497ab77832f94916797104018`
BLAKE2-256	`61edc514b051ace42e74487923da8aba298edcdc1518158c52d7bbdbb7a5063f`

Hashes for pycorrfit-1.1.7-cp36-cp36m-manylinux1_i686.whl

Hashes for pycorrfit-1.1.7-cp36-cp36m-manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`4a319a98486bd9faa5d65226efea505155ab5a4c56d709b3f8ccdcfe9639806e`
MD5	`8d68e5559d04756c714ff6d16d590b9d`
BLAKE2-256	`b7f9a1a36b962e93fed6d0c5554b164c1aa32bdfdec99ae908efc465f79e59d8`