Probably the fastest Python package to convert longitude/latitude to timezone name

These details have not been verified by PyPI

Project links

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

tzfpy

It's probably the fastest Python package to convert longitude/latitude to timezone name.

NOTE:

This package use a simplified polygon data and not so accurate around borders.
Rust use lazzy init, so first calling will be a little slow.
Use about 40MB memory.

It's tested under Python 3.9+ but support 3.7+(noqa).

Usage

pip install tzfpy

>>> from tzfpy import get_tz, get_tzs
>>> get_tz(116.3883, 39.9289)
'Asia/Shanghai'
>>> get_tzs(87.4160, 44.0400)
['Asia/Shanghai', 'Asia/Urumqi']

Background

tzfpy was originally written in Go named tzf and use CGO compiled to .so to be used by Python. Since v0.11.0 it's rewritten in Rust built on PyO3 and tzf-rs, a tzf's Rust port.

Project details

These details have not been verified by PyPI

Project links

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

0.15.5

Apr 12, 2024

0.15.4

Mar 13, 2024

0.15.3

Dec 30, 2023

0.15.2

Oct 7, 2023

0.15.1

Aug 19, 2023

0.15.0

Mar 26, 2023

0.14.0

Mar 21, 2023

0.13.1

Jan 28, 2023

0.13.0 yanked

Jan 28, 2023

Reason this release was yanked:

Missing macOS wheels.

0.12.3

Jan 27, 2023

0.12.2

Jan 27, 2023

This version

0.12.1

Jan 25, 2023

0.12.0

Jan 19, 2023

0.11.2

Dec 4, 2022

0.11.1

Nov 28, 2022

0.11.0

Nov 21, 2022

0.10.1

Nov 16, 2022

0.10.0

Nov 16, 2022

0.9.2

Nov 12, 2022

0.9.1

Nov 7, 2022

0.9.0

Nov 6, 2022

0.8.7rc1 pre-release

Nov 6, 2022

0.8.6

Nov 4, 2022

0.8.5

Oct 30, 2022

0.8.4

Oct 29, 2022

0.8.4rc1 pre-release

Oct 29, 2022

0.8.3

Oct 21, 2022

0.8.2

Oct 9, 2022

0.8.1

Aug 19, 2022

0.7.0

Aug 13, 2022

0.6.2

Aug 12, 2022

0.6.0

Jul 31, 2022

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

tzfpy-0.12.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.0 MB view hashes)

Uploaded Jan 25, 2023 PyPy manylinux: glibc 2.17+ x86-64

tzfpy-0.12.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.0 MB view hashes)

Uploaded Jan 25, 2023 PyPy manylinux: glibc 2.17+ x86-64

tzfpy-0.12.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.0 MB view hashes)

Uploaded Jan 25, 2023 PyPy manylinux: glibc 2.17+ x86-64

tzfpy-0.12.1-cp311-none-win_amd64.whl (6.1 MB view hashes)

Uploaded Jan 25, 2023 CPython 3.11 Windows x86-64

tzfpy-0.12.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.0 MB view hashes)

Uploaded Jan 25, 2023 CPython 3.11 manylinux: glibc 2.17+ x86-64

tzfpy-0.12.1-cp310-none-win_amd64.whl (6.1 MB view hashes)

Uploaded Jan 25, 2023 CPython 3.10 Windows x86-64

tzfpy-0.12.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.0 MB view hashes)

Uploaded Jan 25, 2023 CPython 3.10 manylinux: glibc 2.17+ x86-64

tzfpy-0.12.1-cp39-none-win_amd64.whl (6.1 MB view hashes)

Uploaded Jan 25, 2023 CPython 3.9 Windows x86-64

tzfpy-0.12.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.0 MB view hashes)

Uploaded Jan 25, 2023 CPython 3.9 manylinux: glibc 2.17+ x86-64

tzfpy-0.12.1-cp39-cp39-macosx_10_7_x86_64.whl (6.2 MB view hashes)

Uploaded Jan 25, 2023 CPython 3.9 macOS 10.7+ x86-64

tzfpy-0.12.1-cp38-none-win_amd64.whl (6.1 MB view hashes)

Uploaded Jan 25, 2023 CPython 3.8 Windows x86-64

tzfpy-0.12.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.0 MB view hashes)

Uploaded Jan 25, 2023 CPython 3.8 manylinux: glibc 2.17+ x86-64

tzfpy-0.12.1-cp37-none-win_amd64.whl (6.1 MB view hashes)

Uploaded Jan 25, 2023 CPython 3.7 Windows x86-64

tzfpy-0.12.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.0 MB view hashes)

Uploaded Jan 25, 2023 CPython 3.7m manylinux: glibc 2.17+ x86-64

Hashes for tzfpy-0.12.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for tzfpy-0.12.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`17a238e86348bbb4763e5a614f5573aec3f3fefddc042349aad4516521bc395b`
MD5	`abc4bec8f9474251887d74f600f98e01`
BLAKE2b-256	`4faa8cbcc99f9dcf0232c6a52ef4eb11ee69cd72a7ae18d97a6007065f00d94e`

Hashes for tzfpy-0.12.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for tzfpy-0.12.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`eebf94fc8294b06e201469d71797c1d19dd56452dbc8282da7310431ce7487c7`
MD5	`5c7b9dcc7626329b2772fe3a5bf8a764`
BLAKE2b-256	`d998f22ebcf5e62c2723f3cb5db5ab82c1ffd5327f63ada8bffd13ce38d75d1f`

Hashes for tzfpy-0.12.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for tzfpy-0.12.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`e39734bcf926e0c456247aecf9960815c10dcaf6bf2435f96eee81280b9b9d04`
MD5	`d993aab665c04902ad96f5f231f0fcde`
BLAKE2b-256	`2c4c99cf997208491a24047a5548fc3c79e6c18eb7937c115c0d80530efc5195`

Hashes for tzfpy-0.12.1-cp311-none-win_amd64.whl

Hashes for tzfpy-0.12.1-cp311-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`5cc536f7c50fa336adb37f7f865837ac8d13f52eef30792b9667dd81d492ce61`
MD5	`c72af7ee61484b3700d6c41347b336ab`
BLAKE2b-256	`15b51c0f5490b179a15916e2402f21f6673c86683351e97c7f1306d3669203b6`

Hashes for tzfpy-0.12.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for tzfpy-0.12.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`4181e62063232102aadbb44edc599ec5ebf1ac193afbc3a68c946ea143f56903`
MD5	`77939a33512a30f651cdc1a525248b30`
BLAKE2b-256	`390ad3753a72ea43a38b914b67d437dca1131cd948607b99696deecc8c4aabc0`

Hashes for tzfpy-0.12.1-cp310-none-win_amd64.whl

Hashes for tzfpy-0.12.1-cp310-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`709af3cb461b585548302c57e752391d267ccd96c3c81052b11a8ac68ba77b00`
MD5	`23b20a0a91e72f44f06a30f29903be66`
BLAKE2b-256	`3888c22fc701a9519c12ee08e76dfdfab6b4aa44d016a23727d95b3b95833775`

Hashes for tzfpy-0.12.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for tzfpy-0.12.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`26cff302c941037e27301aa29fb329e3802627f0d4d862b293518a7a557a26a5`
MD5	`0a773b264e1b023bb2e5ecc30c290729`
BLAKE2b-256	`ac8b8e62eb4a11863a40a753519a53efc45c632f96f5f4ad0f2519b5279f167b`

Hashes for tzfpy-0.12.1-cp39-none-win_amd64.whl

Hashes for tzfpy-0.12.1-cp39-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`3b1b7092961d710e60791c2da79284e91bd11b5be22c2888f4eca52991238a3a`
MD5	`487d1061df2575b8d01a704a7aa8ca20`
BLAKE2b-256	`bbea1c378949eb9df4bfb2017cbbeabed0a48c77fb899674cdbde5cc1063d29a`

Hashes for tzfpy-0.12.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for tzfpy-0.12.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`f660412ec11bd77f65bd63ae7a1349176c93de1bd49da2cf52ad92986e96d8e4`
MD5	`995c3d6740e00cf560b40157af5ba906`
BLAKE2b-256	`74366fbc5ea389f77db7a449f81052edddddd6892ab7fe0f9863fa1c75717d2d`

Hashes for tzfpy-0.12.1-cp39-cp39-macosx_10_7_x86_64.whl

Hashes for tzfpy-0.12.1-cp39-cp39-macosx_10_7_x86_64.whl
Algorithm	Hash digest
SHA256	`d869f4eb6eba22245b19ae575474a163e4952c1da26e012de30b02b6f0885616`
MD5	`d5ec44c489b3295769e5add16bebef11`
BLAKE2b-256	`d7d3d4344db144f7be74000b4c3f3c52c8f721c5012a62aad5a1efdcf0529eb8`

Hashes for tzfpy-0.12.1-cp38-none-win_amd64.whl

Hashes for tzfpy-0.12.1-cp38-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`75f41e375a68cbc251659a4757785d2bab040dae76ccc929da80ef1f4830ed95`
MD5	`f6672db963290b18c59d37a2ae252204`
BLAKE2b-256	`17940317bd417952bd159884e0f050f1c418b81d89bed259d55ce3c3a4f82d10`

Hashes for tzfpy-0.12.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for tzfpy-0.12.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`5c82ee1c5d0822c56cd5bd65b0300501b2c6a8cbb66cd2d12ca8069ea9c570f2`
MD5	`2f10b6556b95ede8d863011a73d8c832`
BLAKE2b-256	`a1315440ff0607356d66874554547963b5d37523830cdb90a758ce0a245c7b91`

Hashes for tzfpy-0.12.1-cp37-none-win_amd64.whl

Hashes for tzfpy-0.12.1-cp37-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`83f876f098dc0b479e673a3b1f3752fdb08b577f65e9009353e4024921e5f90a`
MD5	`7f3cb6d51901d5723fa4b567db254b3d`
BLAKE2b-256	`2697b30e2dc26082412cf771745e184fccfbf52a08979c3e117a6abd19bf8b2b`

Hashes for tzfpy-0.12.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for tzfpy-0.12.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`f0977ed5fa9dd44648bbd1672ed7276e891eb68847f0c0c734ee5134905ba2f0`
MD5	`48c5c2bce67f2c5c9a32c2558c5076e1`
BLAKE2b-256	`6f7dc4fcf3df587d90351200dc2af1366fc1799bfa925d20fa2bc46118f4f370`