Skip to main content

Tool to generate and evaluate mathematical models from GNSS satellites u-center csv files

Project description

GNSS Data Models

A tool that inputs u-center generated csv file(s) of GNSS satellites data and outputs a generated piecewise cubic curve fit model, including charts and model evaluation in a PDF.

Choose a satellite number, the directory where all csv files are included (or the direct path to the csv file) that you wish to perform the analysis on, and choose the output directory where the PDF will be created.

Condition: At least one file from the target directory (or the file targeted) must contain over 24h of continuous data.

Install

$ pip install gnss-models

Usage

Example: Create models for specific file

$ python gnss-models -file path_to_filename.csv -sat your_satellite_number -save path_to_save_directory

Example: Create models for all files from specific repository

$ python gnss-models -dir path_to_directory -sat your_satellite_number -save path_to_save_directory

Get information about all arguments usage

$ python gnss-models -help

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

gnss_models-0.1.3.tar.gz (6.9 kB view details)

Uploaded Source

Built Distribution

gnss_models-0.1.3-py3-none-any.whl (9.3 kB view details)

Uploaded Python 3

File details

Details for the file gnss_models-0.1.3.tar.gz.

File metadata

  • Download URL: gnss_models-0.1.3.tar.gz
  • Upload date:
  • Size: 6.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.25.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.64.0 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.8

File hashes

Hashes for gnss_models-0.1.3.tar.gz
Algorithm Hash digest
SHA256 b342f13c2a43dbd8f438e044b1413188eba51158c0a543eaec67a5b245d21639
MD5 5e987799c674bce5c31263f7b41893bb
BLAKE2b-256 366e7dc91640971732e0f98fff28a56954015039e3d9ca7a6c96dfb29cbf66f4

See more details on using hashes here.

File details

Details for the file gnss_models-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: gnss_models-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 9.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.25.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.64.0 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.8

File hashes

Hashes for gnss_models-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 44bab6b0ef277fcb731c7c38b7f40a746961590b67e8684800e6f5784d8eff50
MD5 e08fe140421788e1547437b73da52421
BLAKE2b-256 bbb25c550c574da778ffe226aafb3254dbd40e47c45d2b9e886a0cd8385f268f

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 Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page