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.

Files for onavdata, version 0.0.5
Filename, size File type Python version Upload date Hashes
Filename, size onavdata-0.0.5.tar.gz (14.0 MB) File type Source Python version None Upload date Hashes View
Filename, size onavdata-0.0.5-py3-none-any.whl (14.0 MB) File type Wheel Python version py3 Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page