Skip to main content

Python interface to PROJ (cartographic projections and coordinate transformations library)

Project description

Pyproj logo

pyproj

Python interface to PROJ (cartographic projections and coordinate transformations library).

Join the chat at https://gitter.im/pyproj4-pyproj/community All Contributors Appveyor Build Status GitHub Actions Build Status Codecov Status PyPI Downloads Anaconda-Server Badge Code style: black pre-commit DOI

Documentation

Bugs/Questions

Contributors โœจ

Thanks goes to these wonderful people (emoji key):


Jeff Whitaker

๐Ÿ“– โš ๏ธ ๐Ÿ’ป ๐Ÿ’ก ๐Ÿค” ๐Ÿ‘€ ๐Ÿ’ฌ ๐Ÿšง ๐Ÿš‡ ๐Ÿ›

Alan D. Snow

๐Ÿ“– โš ๏ธ ๐Ÿ’ป ๐Ÿ’ก ๐Ÿšง ๐Ÿš‡ ๐Ÿค” ๐Ÿ‘€ ๐Ÿ’ฌ ๐Ÿ›

Micah Cochran

๐Ÿ“– โš ๏ธ ๐Ÿ’ป ๐Ÿšง ๐Ÿš‡ ๐Ÿ‘€ ๐Ÿ’ฌ ๐Ÿ›

Joris Van den Bossche

๐Ÿ“– ๐Ÿ’ป ๐Ÿค” ๐Ÿ‘€ ๐Ÿ’ฌ ๐Ÿ› โš ๏ธ

Chris Mayo

โš ๏ธ

Charles Karney

๐Ÿ’ป โš ๏ธ

Justin Dearing

๐Ÿš‡

Jos de Kloe

๐Ÿ’ป โš ๏ธ ๐Ÿ›

George Ouzounoudis

๐Ÿ’ป ๐Ÿค”

David Hoese

๐Ÿ‘€ ๐Ÿค” ๐Ÿ“ฆ ๐Ÿ“– โš ๏ธ ๐Ÿ’ป

Mikhail Itkin

๐Ÿ’ป

Ryan May

๐Ÿ’ป

artttt

๐Ÿค”

Filipe

๐Ÿš‡ ๐Ÿ’ป ๐Ÿ“ฆ

Heitor

๐Ÿ“–

Bas Couwenberg

๐Ÿ’ป ๐Ÿ“ฆ โš ๏ธ

Nick Eubank

๐Ÿ’ป

Michael Dunphy

๐Ÿ“–

Matthew Brett

๐Ÿš‡ ๐Ÿ“ฆ

Jakob de Maeyer

๐Ÿ’ป

The Gitter Badger

๐Ÿ“–

Bernhard M. Wiedemann

๐Ÿ’ป

Marco Aurรฉlio da Costa

๐Ÿ’ป

Christopher H. Barker

๐Ÿ’ป

Kristian Evers

๐Ÿ’ฌ ๐Ÿค” ๐Ÿ“–

Even Rouault

๐Ÿ’ฌ

Christoph Gohlke

๐Ÿ“ฆ ๐Ÿ’ฌ ๐Ÿ› โš ๏ธ

Chris Willoughby

๐Ÿ’ป

Guillaume Lostis

๐Ÿ“–

Eduard Popov

๐Ÿ“–

Joe Ranalli

๐Ÿ› ๐Ÿ’ป โš ๏ธ

Greg Berardinelli

๐Ÿ› ๐Ÿ’ป ๐Ÿค” โš ๏ธ

Martin Raspaud

๐Ÿ› ๐Ÿ’ป โš ๏ธ ๐Ÿค”

Mike Taves

โš ๏ธ

David Haberthรผr

๐Ÿ“–

mmodenesi

๐Ÿ› ๐Ÿ’ป โš ๏ธ

jacob-indigo

๐Ÿ› ๐Ÿ’ป

Poruri Sai Rahul

โš ๏ธ

Yann-Sebastien Tremblay-Johnston

๐Ÿ“–

odidev

๐Ÿ“ฆ

Idan Miara

๐Ÿ’ป ๐Ÿ“– ๐Ÿ’ก โš ๏ธ

Brendan Jurd

๐Ÿ“– ๐ŸŽจ

This project follows the all-contributors specification. Contributions of any kind welcome!

Project details


Download files

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

Source Distribution

pyproj-3.2.0.tar.gz (212.7 kB view details)

Uploaded Source

Built Distributions

pyproj-3.2.0-pp37-pypy37_pp73-win_amd64.whl (6.1 MB view details)

Uploaded PyPy Windows x86-64

pyproj-3.2.0-cp39-cp39-win_amd64.whl (6.2 MB view details)

Uploaded CPython 3.9 Windows x86-64

pyproj-3.2.0-cp39-cp39-win32.whl (5.3 MB view details)

Uploaded CPython 3.9 Windows x86

pyproj-3.2.0-cp39-cp39-manylinux_2_24_x86_64.whl (6.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.24+ x86-64

pyproj-3.2.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (6.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

pyproj-3.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (6.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pyproj-3.2.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl (6.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ i686

pyproj-3.2.0-cp39-cp39-manylinux2010_x86_64.whl (6.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

pyproj-3.2.0-cp39-cp39-macosx_10_9_x86_64.whl (7.5 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

pyproj-3.2.0-cp38-cp38-win_amd64.whl (6.2 MB view details)

Uploaded CPython 3.8 Windows x86-64

pyproj-3.2.0-cp38-cp38-win32.whl (5.3 MB view details)

Uploaded CPython 3.8 Windows x86

pyproj-3.2.0-cp38-cp38-manylinux_2_24_x86_64.whl (6.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.24+ x86-64

pyproj-3.2.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (6.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

pyproj-3.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (6.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pyproj-3.2.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl (6.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ i686

pyproj-3.2.0-cp38-cp38-manylinux2010_x86_64.whl (6.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

pyproj-3.2.0-cp38-cp38-macosx_10_9_x86_64.whl (7.5 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

pyproj-3.2.0-cp37-cp37m-win_amd64.whl (6.2 MB view details)

Uploaded CPython 3.7m Windows x86-64

pyproj-3.2.0-cp37-cp37m-win32.whl (5.3 MB view details)

Uploaded CPython 3.7m Windows x86

pyproj-3.2.0-cp37-cp37m-manylinux_2_24_x86_64.whl (6.3 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.24+ x86-64

pyproj-3.2.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (6.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

pyproj-3.2.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (6.1 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

pyproj-3.2.0-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl (6.5 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ i686

pyproj-3.2.0-cp37-cp37m-manylinux2010_x86_64.whl (6.3 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

pyproj-3.2.0-cp37-cp37m-macosx_10_9_x86_64.whl (7.5 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file pyproj-3.2.0.tar.gz.

File metadata

  • Download URL: pyproj-3.2.0.tar.gz
  • Upload date:
  • Size: 212.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.7

File hashes

Hashes for pyproj-3.2.0.tar.gz
Algorithm Hash digest
SHA256 48df0d5ab085bd2dc6db3bca79e20bf15b08ffca4f4e42df6d87b566633b800c
MD5 1ac102ca94593d53001fecc2ca0a4536
BLAKE2b-256 2e9f217f0cfb328b57a5e471e3d8e1eb58376086ffb50ce74f9977b5bb86f56a

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-pp37-pypy37_pp73-win_amd64.whl.

File metadata

  • Download URL: pyproj-3.2.0-pp37-pypy37_pp73-win_amd64.whl
  • Upload date:
  • Size: 6.1 MB
  • Tags: PyPy, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.7

File hashes

Hashes for pyproj-3.2.0-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 cf52413347479035d361e5f760d1c29876b8941a763bb35e5f1505b3421707ae
MD5 eb750a6ba0e11d6891f1ce6dca42a320
BLAKE2b-256 b9af6784a80d0118bfea8fef36c938a31a6b5f74e1c2a23230d4c0280b808ece

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pyproj-3.2.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 6.2 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.7

File hashes

Hashes for pyproj-3.2.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 8206748e1ef61151f19dd54378312e272812cb248226fb7909fda5052498f9b4
MD5 9c28fe3b3fbf00dad871559fda15a97a
BLAKE2b-256 9f863796358afbad0bebbd7a704b46f6561d2e5feca5cc31ba0fef9c08d4e867

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: pyproj-3.2.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 5.3 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.7

File hashes

Hashes for pyproj-3.2.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 89c023b1f7c956343e87bc7165fe67986b5db0b840fd5adf0ca65c0b5dcb5007
MD5 ece3cc57ebcfeb2842acd14e9f615718
BLAKE2b-256 315eb5b2534a44739e6d8d18816a11a18220870fef855fba740df1a7d9263a5a

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp39-cp39-manylinux_2_24_x86_64.whl.

File metadata

  • Download URL: pyproj-3.2.0-cp39-cp39-manylinux_2_24_x86_64.whl
  • Upload date:
  • Size: 6.3 MB
  • Tags: CPython 3.9, manylinux: glibc 2.24+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.7.1 requests/2.26.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/2.7.12

File hashes

Hashes for pyproj-3.2.0-cp39-cp39-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 5974c1acbeb1d4f34bba111be547191f967ef182f77fc361c34984f8adbe6f66
MD5 10863fe751b8d1183d1a54e8ad3695fc
BLAKE2b-256 1e0b77f7a668259d1803cf43399fe489c5365857deff3cfb392c887e262f17d2

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyproj-3.2.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 1e4d5370cb4823f3066c64083985612257f131b354747ea4594dea7cfb319752
MD5 136a948ca9e20ad5c828789a2e8f7afe
BLAKE2b-256 cd2d69676aa8fbb7a9ee7c5324cee5e0d54828d3de7dc3c2db8564f78df5b3f9

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyproj-3.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 1a0a55bbc2d903a6dada943ade11360a46d057ca42d305128c113273bae7cb58
MD5 74be59dd52320556eccff49b864d59b8
BLAKE2b-256 3a2faa385a01e750560a2192470b3e20827355e1d0af7daf41ad19837b0375de

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for pyproj-3.2.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 413cb8dfd358f3b89cb9756a3380295d34b3ea5059d47f327262e700f1c8baab
MD5 c3882b1562179bd9557c17b3f0da7e85
BLAKE2b-256 a91980cdee6889062c4752a357e2322000baab62dfe5abdba4a38e96f0d857e0

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp39-cp39-manylinux2010_x86_64.whl.

File metadata

  • Download URL: pyproj-3.2.0-cp39-cp39-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 6.3 MB
  • Tags: CPython 3.9, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.7.1 requests/2.26.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/2.7.12

File hashes

Hashes for pyproj-3.2.0-cp39-cp39-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 e3415554fd1905c14632254f087f484e704b39865313aea8fe3e4d13017979c7
MD5 4aed28bb21a7c974cc6e21f4bff38512
BLAKE2b-256 bffd75dd4b3c0dcf68e2a4f61836c6798e86f7c55aa1f3c3b869432490bb0272

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: pyproj-3.2.0-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 7.5 MB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.0

File hashes

Hashes for pyproj-3.2.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ff41af4b3bb33a1cdd0bfc1efe9eb0f0392ae946aeca5323309f66568d073efa
MD5 ca263961b556474609f849de39579726
BLAKE2b-256 9ae0cfa8a05292b90f96805777e0eb818205ccab82c55ead27f75d3ce6d11c54

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pyproj-3.2.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 6.2 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.7

File hashes

Hashes for pyproj-3.2.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 8c0cd49eed818c9a02ea05cb9dc45d7209d1688fc4c9e08a37bc48a9ec72e852
MD5 097ddd619b511d9aa711b728ebd80f7f
BLAKE2b-256 5c3834d15e1ce5cb0d190646299c273e3e7bc126a51c43b1c5708ddccc0be87e

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: pyproj-3.2.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 5.3 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.7

File hashes

Hashes for pyproj-3.2.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 9a7007dea9d739a03afcc214c851dd43230db319876dd4bf3787031b67a57b77
MD5 10f176fcbe032dc3b05b89f3cf5a9c4a
BLAKE2b-256 4ccf29ab6dd8b1715ee77b652a72f4d184f5653e9af19767526b594d6e0106be

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp38-cp38-manylinux_2_24_x86_64.whl.

File metadata

  • Download URL: pyproj-3.2.0-cp38-cp38-manylinux_2_24_x86_64.whl
  • Upload date:
  • Size: 6.3 MB
  • Tags: CPython 3.8, manylinux: glibc 2.24+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.7.1 requests/2.26.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/2.7.12

File hashes

Hashes for pyproj-3.2.0-cp38-cp38-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 2cc06ea53f8c6c97ff37a47a614b32adc4c4b667def08b528ea7f6a351fa8628
MD5 77f86b9d01565163f45df4a088b95678
BLAKE2b-256 225d4e87bd35df802b6f8b6550bc76bf3843115bb80e823034011f8f0a8d9768

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyproj-3.2.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 0ce7f9caec1496545fed80e56d2e7d8249aaf7c9da77e6092349cac6d6b9d6fb
MD5 9919a961712002582b0a2bed4c5aeee7
BLAKE2b-256 84adfd1b0e68fd8c7c207cc809c9c6162c1901818cfdff961ced61261e4f4529

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyproj-3.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 582efc0cf0bae6ac5a4730280995fad6c20d844b56b70f41f4f04fdb1fdbd5d7
MD5 937d47f093cbe1dd136c689343a6991a
BLAKE2b-256 5f68b1bffcb48ceb84efbffd0cb21fb410c0e6c517dbf9c94488b632977bb14a

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for pyproj-3.2.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 ca0838c2d979db4d71ae131214d336ad206b02b648a51e023e2ce2f5f8c2db11
MD5 0de72ed290bb4dc4f09ee908bee7e197
BLAKE2b-256 23e6c11f442edcc5086cadea1b677ba51dc9d9c52e507ed098650a0fdb7bfff2

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

  • Download URL: pyproj-3.2.0-cp38-cp38-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 6.3 MB
  • Tags: CPython 3.8, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.7.1 requests/2.26.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/2.7.12

File hashes

Hashes for pyproj-3.2.0-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 2e8e51e55bc6305b538c0c6576dbc37a45993b7f3e68699237411fbde9220aab
MD5 f1a05c44e53eb8b4b25585f90607b238
BLAKE2b-256 9b89da786a4f8bf460189eedadb84efe4b1b415ff2ed42847f08285aa85ce21c

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: pyproj-3.2.0-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 7.5 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.6

File hashes

Hashes for pyproj-3.2.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 911d711601d53208eb4dcca95df85661bee13592da6035c7f12ec0e8c7bbfea8
MD5 181a87214448063f7d62c5e5142d07f4
BLAKE2b-256 ba5c8ecc4d23165a3a84f26aac6a318e9e0887a3968c22f9c4ed707dad5d8d38

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: pyproj-3.2.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 6.2 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.7

File hashes

Hashes for pyproj-3.2.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 5fb4887893d221a82082e95ac6dbf75cbbc739991fcaa80ba94fc16070321354
MD5 49783d109954662668dc806d173f2a5b
BLAKE2b-256 508b98932b644a025432c437de17b97b314e79e26258df6ea096618563897d94

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: pyproj-3.2.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 5.3 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.7

File hashes

Hashes for pyproj-3.2.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 b00e05f374d419be9689c53887149855e277b8fa6196f005b748c2c869ce260f
MD5 b2f7b8b1edd8e76c949d31ee9ed5bf50
BLAKE2b-256 91e58410e1ebe8ed98c252145e9a9393edacbac58c52629b66b4154cd76ccc6c

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp37-cp37m-manylinux_2_24_x86_64.whl.

File metadata

  • Download URL: pyproj-3.2.0-cp37-cp37m-manylinux_2_24_x86_64.whl
  • Upload date:
  • Size: 6.3 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.24+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.7.1 requests/2.26.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/2.7.12

File hashes

Hashes for pyproj-3.2.0-cp37-cp37m-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 87a2b36d7847149d1309c850d022da71de9398140a62e1496cfe64cf3e74040a
MD5 dd35fd26697b80e92a728269c5bc3f98
BLAKE2b-256 1b9881d4b894a916e101d27fd77e9498c38dd4688a6ca4539b6da423a202536a

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pyproj-3.2.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 64ecfb062697508a1dae9a1422e7a992c27b1e9b848cd09d12668c15d5b13cca
MD5 af037a9037d14974e6e4e7369878b4c1
BLAKE2b-256 d1bd8191213b03a16efbdbe28ac7d153b39dbcab02961e9eb2bc9377401f164b

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyproj-3.2.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 1563a854eff7b6ed430fb968f8f711d13fc02d587afb1dc93a88e5cda6d36462
MD5 603502eefa434e8232ae8772a81a5d90
BLAKE2b-256 c298dc2e2b0bda49626e8d78dd3ed30e8ab8fda0bf2edd6faa4c191c8bf8e7b3

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl.

File metadata

File hashes

Hashes for pyproj-3.2.0-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm Hash digest
SHA256 e95ad0255610b719e257150c4f989da51e025dea9a4d686b072c68f99ded538d
MD5 04133d164faf3184d3dae863152429cb
BLAKE2b-256 3731411b40770569cde9295dff5144c38cfe1b82fdac4ab7ad60722a48390c9f

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: pyproj-3.2.0-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 6.3 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.7.1 requests/2.26.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/2.7.12

File hashes

Hashes for pyproj-3.2.0-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 72e0c4409a0c2f83ba448ecdf6accc9615d3e4069b8cad2a2a37a464225d0582
MD5 c97b6a8db3bf5ba00aaca40be8443165
BLAKE2b-256 4bce42e97c545a87b094b81089561ed6eacb011cd13b4815862e1bb54d61a35a

See more details on using hashes here.

File details

Details for the file pyproj-3.2.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: pyproj-3.2.0-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 7.5 MB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.7.9

File hashes

Hashes for pyproj-3.2.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 85b7f67a3606b8a846691effd80c187597ac4e2733ae818f3e3e8be33edcb582
MD5 a7b103e58bc482b82d73b0339f2eaeff
BLAKE2b-256 c72a3125a97c9bdea8fc06e5a73ec946766f99cfa0ac945f2680ddb5f70d2a3a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page