pyreadr

Reads/writes R RData and Rds files into/from pandas data frames.

Project description

A Python package to read and write R RData and Rds files into/from pandas data frames. It does not need to have R or other external dependencies installed. It is based on the C library librdata and a modified version of the cython wrapper jamovi-readstat.
Please visit out project home page for more information:
https://github.com/ofajardo/pyreadr

Project details

Release history Release notifications | RSS feed

This version

0.4.1

Apr 2, 2021

0.4.0

Dec 23, 2020

0.3.9

Dec 9, 2020

0.3.8

Nov 15, 2020

0.3.7

Nov 14, 2020

0.3.6

Oct 22, 2020

0.3.5

Sep 24, 2020

0.3.4

Sep 14, 2020

0.3.3

Sep 4, 2020

0.3.2

Sep 1, 2020

0.3.1

Aug 31, 2020

0.3.0

Aug 26, 2020

0.2.9

May 20, 2020

0.2.8

Apr 23, 2020

0.2.7

Apr 7, 2020

0.2.6

Feb 26, 2020

0.2.4

Feb 18, 2020

0.2.3

Jan 26, 2020

0.2.2

Nov 30, 2019

0.2.1

Jul 16, 2019

0.2.0

Jul 8, 2019

0.1.9

Apr 14, 2019

0.1.8

Feb 9, 2019

0.1.7

Jan 20, 2019

0.1.6

Jan 6, 2019

0.1.5

Jan 5, 2019

0.1.4

Dec 27, 2018

Download files

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

Files for pyreadr, version 0.4.1
Filename, size	File type	Python version	Upload date	Hashes
Filename, size pyreadr-0.4.1-cp36-cp36m-macosx_10_9_x86_64.whl (251.9 kB)	File type Wheel	Python version cp36	Upload date Apr 2, 2021	Hashes View
Filename, size pyreadr-0.4.1-cp36-cp36m-manylinux2014_i686.whl (417.4 kB)	File type Wheel	Python version cp36	Upload date Apr 2, 2021	Hashes View
Filename, size pyreadr-0.4.1-cp36-cp36m-manylinux2014_x86_64.whl (410.3 kB)	File type Wheel	Python version cp36	Upload date Apr 2, 2021	Hashes View
Filename, size pyreadr-0.4.1-cp36-cp36m-win_amd64.whl (1.1 MB)	File type Wheel	Python version cp36	Upload date Apr 2, 2021	Hashes View
Filename, size pyreadr-0.4.1-cp37-cp37m-macosx_10_9_x86_64.whl (250.5 kB)	File type Wheel	Python version cp37	Upload date Apr 2, 2021	Hashes View
Filename, size pyreadr-0.4.1-cp37-cp37m-manylinux2014_i686.whl (415.8 kB)	File type Wheel	Python version cp37	Upload date Apr 2, 2021	Hashes View
Filename, size pyreadr-0.4.1-cp37-cp37m-manylinux2014_x86_64.whl (410.5 kB)	File type Wheel	Python version cp37	Upload date Apr 2, 2021	Hashes View
Filename, size pyreadr-0.4.1-cp37-cp37m-win_amd64.whl (1.1 MB)	File type Wheel	Python version cp37	Upload date Apr 2, 2021	Hashes View
Filename, size pyreadr-0.4.1-cp38-cp38-macosx_10_9_x86_64.whl (252.0 kB)	File type Wheel	Python version cp38	Upload date Apr 2, 2021	Hashes View
Filename, size pyreadr-0.4.1-cp38-cp38-manylinux2014_i686.whl (417.4 kB)	File type Wheel	Python version cp38	Upload date Apr 2, 2021	Hashes View
Filename, size pyreadr-0.4.1-cp38-cp38-manylinux2014_x86_64.whl (411.7 kB)	File type Wheel	Python version cp38	Upload date Apr 2, 2021	Hashes View
Filename, size pyreadr-0.4.1-cp38-cp38-win_amd64.whl (1.1 MB)	File type Wheel	Python version cp38	Upload date Apr 2, 2021	Hashes View
Filename, size pyreadr-0.4.1-cp39-cp39-macosx_10_9_x86_64.whl (253.1 kB)	File type Wheel	Python version cp39	Upload date Apr 2, 2021	Hashes View
Filename, size pyreadr-0.4.1-cp39-cp39-manylinux2014_i686.whl (417.4 kB)	File type Wheel	Python version cp39	Upload date Apr 2, 2021	Hashes View
Filename, size pyreadr-0.4.1-cp39-cp39-manylinux2014_x86_64.whl (411.3 kB)	File type Wheel	Python version cp39	Upload date Apr 2, 2021	Hashes View
Filename, size pyreadr-0.4.1-cp39-cp39-win_amd64.whl (1.1 MB)	File type Wheel	Python version cp39	Upload date Apr 2, 2021	Hashes View
Filename, size pyreadr-0.4.1.tar.gz (1.2 MB)	File type Source	Python version None	Upload date Apr 2, 2021	Hashes View

Hashes for pyreadr-0.4.1-cp36-cp36m-macosx_10_9_x86_64.whl

Hashes for pyreadr-0.4.1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`036b25c862c59b1795220d51571a15eaa2bc0120c34c14545db5ce3db527297c`
MD5	`842d4d3e418d1c7f1e494be9b01ab839`
BLAKE2-256	`bc53de6d187976eb29278620cc74a34ff1e938475b3a85113281021246f42000`

Hashes for pyreadr-0.4.1-cp36-cp36m-manylinux2014_i686.whl

Hashes for pyreadr-0.4.1-cp36-cp36m-manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`64c3ef7c757acd3146f6310c250a03ecc9cc228044f96aecf2d84090214eb075`
MD5	`e040aea77411e4c8c15fa8bc6687f056`
BLAKE2-256	`d7496e1528f44106994999e436313caf75c62a6fe130a763688c1d31956f67fe`

Hashes for pyreadr-0.4.1-cp36-cp36m-manylinux2014_x86_64.whl

Hashes for pyreadr-0.4.1-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`db693a0095e57ebf90c0e00f0c0ff5bbe8ba934e02e553e80f1f6c1bb2fb99f6`
MD5	`5faaf83a953f141c0b6c5865ff5da8ee`
BLAKE2-256	`f6e8c2dbf0d0f665ed89404b365109718cb4582e10a721257e5a05cf4c1ad2da`

Hashes for pyreadr-0.4.1-cp36-cp36m-win_amd64.whl

Hashes for pyreadr-0.4.1-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`a633cd938f807464d1959d8cb2f467957f27f7b63bb5e99f6ba5425f88193167`
MD5	`ca7734668c37aabf8b80ffde3d781ece`
BLAKE2-256	`fa2d695a3692ffa011ffce4b69b403c965f188cff19ec4f4b9a9a39b47736096`

Hashes for pyreadr-0.4.1-cp37-cp37m-macosx_10_9_x86_64.whl

Hashes for pyreadr-0.4.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`cd6d5456d68ad1363112e65e8f9e04e6e0a815df8ecf4af2c93e4688a49fb8d1`
MD5	`6caa43c83229b7b1f1360e4c68d5ebcf`
BLAKE2-256	`999ec53deb7e56f73ac47f81296d728520e2efe32fb81f148fd848b956f8f439`

Hashes for pyreadr-0.4.1-cp37-cp37m-manylinux2014_i686.whl

Hashes for pyreadr-0.4.1-cp37-cp37m-manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`c2aeea1d178762289d5237bc84e66c38b66b360a51d127cbb8963b80a6d4efb2`
MD5	`eb121ecb49aa62b0c6c86b815e8f316a`
BLAKE2-256	`de5cb045b720ee3593971b5e33a72934ae73c6e9629ffa3b02acf9ba006c0728`

Hashes for pyreadr-0.4.1-cp37-cp37m-manylinux2014_x86_64.whl

Hashes for pyreadr-0.4.1-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`2d7d5436ede6d7cb02ceda587f88f7c89c3142f1bdefe07f681faf50b6d623a3`
MD5	`543fcc3bb9f207f2bfdf225c736c1cf3`
BLAKE2-256	`3f8307b2ac670076c63eb5ec0341b25699fac5c7f8744b1c169306f742c4c4b8`

Hashes for pyreadr-0.4.1-cp37-cp37m-win_amd64.whl

Hashes for pyreadr-0.4.1-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`e4c511a2f7444a7f3d36f535a83e798ad208ec773acfb4ca88caac7e4774e219`
MD5	`b18fff2f124eab8e9e0ea383bc3a95db`
BLAKE2-256	`92a1265a1e5d72f283e3eea9d11c6eacf789d10146a698ba3951a8c84b29f191`

Hashes for pyreadr-0.4.1-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for pyreadr-0.4.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`29a0f5abf44d427a14b9b4f817af253158ff9b6bc942dab533f676d632a66a35`
MD5	`53c7d5187312ac1778c6ac770daf0e73`
BLAKE2-256	`4d75317375208e4ce13fceedb40cbb67ec66d4bf0a2f1fbcae5b0ca9c806e1ff`

Hashes for pyreadr-0.4.1-cp38-cp38-manylinux2014_i686.whl

Hashes for pyreadr-0.4.1-cp38-cp38-manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`176c0c564009ea51c835e3ef9c8191c3d62ef6b65a53873b64c521ddb6dfbe1b`
MD5	`84b38afd6030f6f7923f091579465a47`
BLAKE2-256	`93f09552f56585b0e4414d54f46a5b8d06436e3c41b436ea6c8c5b2241fb2cd8`

Hashes for pyreadr-0.4.1-cp38-cp38-manylinux2014_x86_64.whl

Hashes for pyreadr-0.4.1-cp38-cp38-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`27fbb52384a1b95c0ac568dfebdc651f27f3d0cf73f205520114d2a2d2018e0f`
MD5	`e34d42686764dd475fe7b6135e77c815`
BLAKE2-256	`09034d89d0467572aaae842742960d98a357d7c1aecbfb94c81e1394087e8103`

Hashes for pyreadr-0.4.1-cp38-cp38-win_amd64.whl

Hashes for pyreadr-0.4.1-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`482b46588581fc6d67dcfca815218e15815df4fc142f2205aeb24db3b7dd4b8f`
MD5	`72cf564de3e1f393b31a0d12a702d054`
BLAKE2-256	`37142d1c6f3ffc6750338698ace0e0a7668aa4d75a8ee17678431c651edebb4b`

Hashes for pyreadr-0.4.1-cp39-cp39-macosx_10_9_x86_64.whl

Hashes for pyreadr-0.4.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`bd05ae7d70abe4fec8e688963fa9bc6c4ea479ce20fbb7c990b4afedea1084b0`
MD5	`f16f169488592f0d62c0a155b46496b7`
BLAKE2-256	`f27ab090ac82c5c93b6412025c6855786042e640da0b60b82c7d9adab918c988`

Hashes for pyreadr-0.4.1-cp39-cp39-manylinux2014_i686.whl

Hashes for pyreadr-0.4.1-cp39-cp39-manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`5d88a8d369dab2b954b422c5b34eee287045e2bca3a18f678e87d1d442869ecb`
MD5	`69cc1100c4d3507550ce0eb612497c91`
BLAKE2-256	`8965d741fd8920a594532b84652f7086c71db916e1898a59547cd2573d342c57`

Hashes for pyreadr-0.4.1-cp39-cp39-manylinux2014_x86_64.whl

Hashes for pyreadr-0.4.1-cp39-cp39-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`93b77556f1fd3111d845d922a0b088a308f45682f941773a5025ea8ccf5b906c`
MD5	`f4254730e3909b4c4ff278d2799af5a0`
BLAKE2-256	`dcbc4418b5d44dd0963e83317f2d2d88a3e25d45b1e9b5c47c5acc5337f67980`

Hashes for pyreadr-0.4.1-cp39-cp39-win_amd64.whl

Hashes for pyreadr-0.4.1-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`526cd80683edf0c77ce23542c8b664b0a0269b211bef279001b6ce594176b936`
MD5	`9c876b4a9257851cd8cc704402353e88`
BLAKE2-256	`32de38885e9a3ff2ecded1b15ded14e603a7302f5a17bef9131fd851a7383d36`

Hashes for pyreadr-0.4.1.tar.gz

Hashes for pyreadr-0.4.1.tar.gz
Algorithm	Hash digest
SHA256	`44602697fb853b89dcb280482fdebbf98f46f11cf265eb77b853b51fe7a499cb`
MD5	`20c955f20253575b670a1779a2724081`
BLAKE2-256	`20399c99e2d72141124ed844a46f7e651dae61edd48cfc43e0ff6a824fc53a06`