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Pandas-NMEA

Parse NMEA Sentences with Python Pandas

Turns this

$GPGGA,094814.40,5104.6852091,N,01345.1067321,E,5,15,0.95,130.7952,M,43.8438,M,1.4,0548*7F
$GNGST,094814.40,1.194,0.250,0.027,145.728,0.208,0.143,1.167*42
$GPGGA,094814.50,5104.6852077,N,01345.1067351,E,5,15,0.95,130.7811,M,43.8438,M,1.5,0548*76
$GNGST,094814.50,1.198,0.251,0.027,145.728,0.208,0.143,1.171*49
$GPGGA,094814.60,5104.6852059,N,01345.1067367,E,5,15,0.95,130.7693,M,43.8438,M,1.6,0548*7B
$GNGST,094814.60,1.201,0.252,0.028,145.728,0.209,0.144,1.174*46
$GPGGA,094814.70,5104.6852050,N,01345.1067398,E,5,15,0.95,130.7682,M,43.8438,M,0.7,0548*73
$GNGST,094814.70,1.165,0.244,0.027,145.737,0.203,0.139,1.138*48

into this

RMS

and with the help of heatmap and OSMViz to this

Map

Map tiles by Stamen Design, under CC BY 3.0. Data by OpenStreetMap, under CC BY SA.

as well as the RMS Position Error, depending on the Location:

RMS

Take a look at the IPython Notebook

pandas-nmea's People

Contributors

balzer82 avatar

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