Skip to main content

Adjust GPS datetimes to UTC.

Project description

NSIDC logo

gps-timemachine

GPS Time Machine provides the ability to convert a date and GPS time (hours, minutes, seconds, fractions of second) to a datetime object. GPS Time Machine adjusts for the offset between UTC and GPS time based on the number of leap seconds for the specified date. Because the gap between UTC and GPS times shift unpredictably based on when leap seconds are added by the International Earth Rotation and Reference Systems Service (IERS), GPS Time Machine uses data from the U.S. Naval Observatory for this adjustment. See NOTES for more information.

CircleCI

Anaconda-Server Badge Anaconda-Server Badge Anaconda-Server Badge Anaconda-Server Badge

Level of Support

This repository is not actively supported by NSIDC but we welcome issue submissions and pull requests in order to foster community contribution.

See the LICENSE for details on permissions and warranties. Please contact nsidc@nsidc.org for more information.

Requirements

Install dependencies:

$ conda env create -f ./environment.yml
$ source activate gps-timemachine

Installation

To install and use it in another project:

$ conda install gps-timemachine

Usage

TODO

Credit

This content was developed by the National Snow and Ice Data Center with funding from multiple sources.

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

gps_timemachine-1.1.5.tar.gz (8.4 kB view details)

Uploaded Source

Built Distribution

gps_timemachine-1.1.5-py3-none-any.whl (8.6 kB view details)

Uploaded Python 3

File details

Details for the file gps_timemachine-1.1.5.tar.gz.

File metadata

  • Download URL: gps_timemachine-1.1.5.tar.gz
  • Upload date:
  • Size: 8.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for gps_timemachine-1.1.5.tar.gz
Algorithm Hash digest
SHA256 7758810c5417e2f7a80834d422d01f55f05709897bd06df107f19d2f8c896fa7
MD5 30bfae6a1dd47af8c3f104f4de7c06b0
BLAKE2b-256 e4bb08a9e9c74df04b0ddf27a87e5892dd5fadc2eea71341b2db37f61ea70ef6

See more details on using hashes here.

Provenance

File details

Details for the file gps_timemachine-1.1.5-py3-none-any.whl.

File metadata

File hashes

Hashes for gps_timemachine-1.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 54693786268bf92d0bca3fd50b537503a7384a2818d360998cd8f26cfb71e353
MD5 183370e289124769d0156f6cbff768c3
BLAKE2b-256 4abfe64c7a9b550e81ad4208fbdf57f9736911d4ab58d3a27b7abc259646e008

See more details on using hashes here.

Provenance

Supported by

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