matplotlib

Python plotting package

Project description

matplotlib strives to produce publication quality 2D graphics: for interactive graphing, scientific publishing, user interface development and web application servers targeting multiple user interfaces and hardcopy output formats. There is a ‘pylab’ mode which emulates matlab graphics.

Project details

Release history Release notifications | RSS feed

3.5.2

May 3, 2022

3.5.1

Dec 11, 2021

3.5.0

Nov 16, 2021

3.5.0rc1 pre-release

Oct 2, 2021

3.5.0b1 pre-release

Aug 24, 2021

3.4.3

Aug 13, 2021

3.4.2

May 8, 2021

3.4.1

Mar 31, 2021

3.4.0

Mar 26, 2021

3.4.0rc3 pre-release

Mar 11, 2021

3.4.0rc2 pre-release

Mar 11, 2021

3.4.0rc1 pre-release

Feb 19, 2021

3.3.4

Jan 28, 2021

3.3.3

Nov 12, 2020

3.3.2

Sep 15, 2020

3.3.1

Aug 14, 2020

3.3.0

Jul 16, 2020

3.3.0rc1 pre-release

Jun 18, 2020

3.2.2

Jun 17, 2020

3.2.1

Mar 18, 2020

3.2.0

Mar 4, 2020

3.2.0rc3 pre-release

Feb 3, 2020

3.2.0rc1 pre-release

Oct 25, 2019

3.1.3

Feb 3, 2020

3.1.2

Nov 21, 2019

3.1.1

Jul 3, 2019

3.1.0

May 18, 2019

3.1.0rc2 pre-release

May 6, 2019

3.1.0rc1 pre-release

Apr 19, 2019

3.0.3

Mar 1, 2019

3.0.2

Nov 11, 2018

3.0.1

Oct 25, 2018

3.0.0

Sep 18, 2018

3.0.0rc2 pre-release

Aug 28, 2018

2.2.5

Feb 3, 2020

2.2.4

Mar 1, 2019

2.2.3

Aug 11, 2018

2.2.2

Mar 17, 2018

2.2.0

Mar 6, 2018

2.2.0rc1 pre-release

Feb 14, 2018

2.1.2

Jan 21, 2018

2.1.1

Dec 12, 2017

2.1.0

Oct 7, 2017

2.1.0rc1 pre-release

Sep 2, 2017

2.0.2

May 10, 2017

2.0.1

May 2, 2017

2.0.0

Jan 17, 2017

2.0.0rc2 pre-release

Dec 19, 2016

2.0.0rc1 pre-release

Dec 6, 2016

2.0.0b4 pre-release

Sep 9, 2016

2.0.0b3 pre-release

Jul 17, 2016

2.0.0b2 pre-release

Jul 13, 2016

2.0.0b1 pre-release

May 31, 2016

1.5.3

Sep 9, 2016

1.5.2

Aug 18, 2016

This version

1.5.1

Jan 11, 2016

1.5.0

Oct 30, 2015

1.4.3

Feb 17, 2015

1.4.2

Oct 23, 2014

1.4.1

Oct 18, 2014

1.4.1rc1 pre-release

Oct 14, 2014

1.4.0

Aug 26, 2014

1.3.1

Oct 21, 2013

1.3.0

Aug 1, 2013

1.2.1

Mar 26, 2013

1.2.0

Nov 9, 2012

1.1.1

Aug 19, 2012

1.1.0

Nov 3, 2011

1.0.1

Jan 6, 2011

1.0.0

Jul 6, 2010

0.99.3

Jun 1, 2010

0.99.1

Sep 22, 2009

0.99.0

Aug 30, 2009

0.98.5.3

May 21, 2009

0.98.5.1

Dec 16, 2008

0.98.3

Aug 3, 2008

0.98.1

Jun 23, 2008

0.98.0

May 31, 2008

0.91.4

Jun 23, 2008

0.91.3

May 31, 2008

0.91.2

Jan 6, 2008

0.91.1

Nov 30, 2007

0.91.0

Nov 28, 2007

0.90.1

Jun 2, 2007

0.90.0

Feb 7, 2007

0.87.7

Oct 26, 2006

0.87.6

Sep 27, 2006

0.87.5

Sep 5, 2006

0.87.4

Jul 12, 2006

0.87.3

Jun 7, 2006

0.87.2

Mar 16, 2006

0.87.1

Mar 7, 2006

0.86.2

Jan 24, 2006

0.86.1

Jan 12, 2006

0.86

Jan 9, 2006

0.85

Nov 16, 2005

0.83.2

Aug 2, 2005

0.71

Jan 24, 2005

0.70

Dec 30, 2004

0.65

Dec 14, 2004

0.64

Nov 8, 2004

0.63.0

Sep 28, 2004

Download files

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

Source Distribution

matplotlib-1.5.1.tar.gz (54.0 MB view hashes)

Uploaded Jan 11, 2016 source

Built Distributions

matplotlib-1.5.1-cp35-none-win_amd64.whl (6.5 MB view hashes)

Uploaded Jan 11, 2016 cp35

matplotlib-1.5.1-cp35-none-win32.whl (6.2 MB view hashes)

Uploaded Jan 11, 2016 cp35

matplotlib-1.5.1-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (49.7 MB view hashes)

Uploaded Jan 11, 2016 cp35

matplotlib-1.5.1-cp34-none-win_amd64.whl (6.1 MB view hashes)

Uploaded Jan 11, 2016 cp34

matplotlib-1.5.1-cp34-none-win32.whl (5.9 MB view hashes)

Uploaded Jan 11, 2016 cp34

matplotlib-1.5.1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (49.7 MB view hashes)

Uploaded Jan 11, 2016 cp34

matplotlib-1.5.1-cp33-cp33m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (49.7 MB view hashes)

Uploaded Jan 11, 2016 cp33

matplotlib-1.5.1-cp27-none-win_amd64.whl (6.1 MB view hashes)

Uploaded Jan 11, 2016 cp27

matplotlib-1.5.1-cp27-none-win32.whl (6.0 MB view hashes)

Uploaded Jan 11, 2016 cp27

matplotlib-1.5.1-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (49.7 MB view hashes)

Uploaded Jan 11, 2016 cp27

Hashes for matplotlib-1.5.1.tar.gz

Hashes for matplotlib-1.5.1.tar.gz
Algorithm	Hash digest
SHA256	`3ab8d968eac602145642d0db63dd8d67c85e9a5444ce0e2ecb2a8fedc7224d40`
MD5	`f51847d8692cb63df64cd0bd0304fd20`
BLAKE2-256	`8ff4c0c7e81f64d5f4d36e52e393af687f28882c53dcd924419d684dc9859f40`

Hashes for matplotlib-1.5.1-cp35-none-win_amd64.whl

Hashes for matplotlib-1.5.1-cp35-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`855287ddda6dfb4c6f580c96a8ce25f4c48551c4d68adbabfebbff3d88caa011`
MD5	`e02bc4aec94d1d28a01fa61be7b3d41a`
BLAKE2-256	`b129c54fd5ab22c8f5626f8d2565be66dca36f2135c487793ac9fece73a93d63`

Hashes for matplotlib-1.5.1-cp35-none-win32.whl

Hashes for matplotlib-1.5.1-cp35-none-win32.whl
Algorithm	Hash digest
SHA256	`4a8454dfd443ed33563cf0e985c40e2979599035c50e6e9f88ac9ea41c5adbbe`
MD5	`0f9daf6c994896e6f54c6064fda1387f`
BLAKE2-256	`8c3eba8ca68ce62173b1a1ef0df4c30a8291ba9101911d4bb2d66f2dedae1260`

Hashes for matplotlib-1.5.1-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Hashes for matplotlib-1.5.1-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm	Hash digest
SHA256	`963b89dd5cabb34c486be9e341c1e9c1815b003f18e9e17413e933f57eb8004e`
MD5	`d62580b45f7bcef039a8c74c61c29ffe`
BLAKE2-256	`75a0823733327133be8f91beb6d05e487906b47d98c55154bf042bf7917b78e1`

Hashes for matplotlib-1.5.1-cp34-none-win_amd64.whl

Hashes for matplotlib-1.5.1-cp34-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`0672f6327e6cbb37333c1c326b9098ecf8827f0c3c0499792823d8055e5e7efb`
MD5	`accf397e40bbe8f8e8d33e9510384293`
BLAKE2-256	`805d5a51d83c7e3f511fd51710281a332ec02024239643d65b13ef3f65e902a6`

Hashes for matplotlib-1.5.1-cp34-none-win32.whl

Hashes for matplotlib-1.5.1-cp34-none-win32.whl
Algorithm	Hash digest
SHA256	`4b87c09a3a7cf324de8b9a8cca67e57c5dc21af81d64769401751ba2e65c7b34`
MD5	`3078aa143fdd5c3d19136b6e36bb9cf8`
BLAKE2-256	`ee6f66ed15d9d024a843b77384eb13b86020488afc9ff63f96ef847d06274efa`

Hashes for matplotlib-1.5.1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Hashes for matplotlib-1.5.1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm	Hash digest
SHA256	`eca6394a24d83a1b443b79f44ede1ffe6bd133cf03e3f9dca99ba5ac17321869`
MD5	`e8ff4b024f5a3a25400ba3188aad4459`
BLAKE2-256	`4a3ba193f4a04cfc263c0463575c5a18f12840d595080bf94430142aa8e8b392`

Hashes for matplotlib-1.5.1-cp33-cp33m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Hashes for matplotlib-1.5.1-cp33-cp33m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm	Hash digest
SHA256	`f4006b5604600211e10cda005491e094e1817b93e837307129928e528381d471`
MD5	`ed4b72ff921ae6772f2a01652479ccec`
BLAKE2-256	`aff42721807321bc3e2eb7b45ac25384e3b5aa5b7d8888aed8e06de128929637`

Hashes for matplotlib-1.5.1-cp27-none-win_amd64.whl

Hashes for matplotlib-1.5.1-cp27-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`56c8c2f490bfe167bc9ff0223ab20ef63062c4499f3af6e618cf7b3b4ff5b39d`
MD5	`98f67208dc31b5240aacca236c506cc2`
BLAKE2-256	`ec58d8ea01780981849f2e31f9c22450f06facf4f8a65130ffe182b2825aaa98`

Hashes for matplotlib-1.5.1-cp27-none-win32.whl

Hashes for matplotlib-1.5.1-cp27-none-win32.whl
Algorithm	Hash digest
SHA256	`a2dc1497eeb495bf7741f63a1da19e1a1da73a6ff8e62acc6dd2d74b970adddd`
MD5	`005ca755c60041c32b605b8c30da1277`
BLAKE2-256	`be383ffb65a3f73f8526499a75cde188dc19ac4a7df8ccf2730d0fd926571b5b`

Hashes for matplotlib-1.5.1-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Hashes for matplotlib-1.5.1-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm	Hash digest
SHA256	`2b978f6cecabf3ecb899b6cdb47925ff90abf9eb0ed01f9498ca0c56d69d6d49`
MD5	`804e12a11e8bedbdced4782f23c5d406`
BLAKE2-256	`233f6c30c486490c53fcd4a8300431db8b652940511ae340e46d3bdb7dccd9ad`