Skip to main content

Quickly import reference data sets for navigation system design and testing.

Project description

Organic Navigation Reference Data

The purpose of the onvadata module is to make reference data sets easily accessible for the design, development, and testing of navigation algorithms. The defining characteristic of reference data sets are that they are well understood, documented, and purged of data logging artifacts.

Quick Start

List Data Available

All data sets are referenced using their shortname.

>> import onavdata
>> onavdata.print_shortnames()
	 2011 UMN-UAV GPSFASER1
	 2012 UMN-UAV FASER5
	 2012 UMN-UAV GPSFASER3
	 2012 UMN-UAV THOR79
	 2012 UMN-UAV THOR77
	 2012 UMN-UAV THOR75
	 2012 UMN-UAV THOR60

Load a Reference Data Set

An abitrary data set can be loaded if no shortname is specified. In this case the data from 2014 UMN-UAV THOR77 was returned.

>> import onavdata
>> df = onavdata.get_data()
	get_data(): No shortname specified so choice will be arbitrary.  Returning: 2014 UMN-UAV THOR77
>> df.head()
		           AccelX (m/s^2)  AccelY (m/s^2)  AccelZ (m/s^2)       ...         AngleHeading (rad)  AnglePitch (rad)  AngleRoll (rad)
	TimeFromStart (s)                                                       ...
	0.00                     1.862795       -0.392167       -9.673463       ...                   1.004700          0.192806         0.006130
	0.02                     1.895476       -0.424848       -9.640783       ...                   1.004225          0.192856         0.006130
	0.04                     1.895476       -0.359487       -9.706145       ...                   1.003786          0.192888         0.006259
	0.06                     1.895476       -0.392167       -9.640783       ...                   1.003258          0.192990         0.006354
	0.08                     1.895476       -0.392167       -9.640783       ...                   1.002907          0.193056         0.006482

	[5 rows x 12 columns]

This module manages easy access to multiple navigation-sensor data sets.

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

onavdata-0.0.4.tar.gz (13.7 MB view details)

Uploaded Source

Built Distribution

onavdata-0.0.4-py3-none-any.whl (13.7 MB view details)

Uploaded Python 3

File details

Details for the file onavdata-0.0.4.tar.gz.

File metadata

  • Download URL: onavdata-0.0.4.tar.gz
  • Upload date:
  • Size: 13.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.1 requests-toolbelt/0.9.0 tqdm/4.30.0 CPython/3.6.6

File hashes

Hashes for onavdata-0.0.4.tar.gz
Algorithm Hash digest
SHA256 18891afe04c87e8cda5f142d943bc8b555a09eabd58c7175e2a0ee57243b966c
MD5 d50825dd2ff9705cd7121f2216a56025
BLAKE2b-256 584f6b00ee1bc738a046fb5faf00859fc4f7b1d1847a7dffe01269117ddcc3b0

See more details on using hashes here.

File details

Details for the file onavdata-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: onavdata-0.0.4-py3-none-any.whl
  • Upload date:
  • Size: 13.7 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.1 requests-toolbelt/0.9.0 tqdm/4.30.0 CPython/3.6.6

File hashes

Hashes for onavdata-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 25c34428ba35cd1e8544a6a760f574157f1f7590b0dbac3cd04e47e1f7c74874
MD5 41a12ae4e3c827022855a0ee222bb3f9
BLAKE2b-256 7c42fc3e4862c9fea309f15771763c8a11fb37d8281f2e193f06de6bb2440d73

See more details on using hashes here.

Supported by

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