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# gpx_reduce_light
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* gpx_reduce.py is a modified version of the [original gpx_reduce][1] with no dependencies.
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The original depends on *scipy, lxml, numpy* and *pylab* (which are heavy requirements).
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However, these dependencies can be easily removed, because the program only does basic linear
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algebra.
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This has two benefits:
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1. easy installation (nothing needed apart from python)
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2. the program is considerably faster than the original.
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A stand alone windows executable (win32, 3 Mb) can be downloaded from <https://wim.vree.org/sporen/gpx.html>
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Usage example (see [original][1] for a better description):
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> gpx_reduce.py -d 2 -t 30 your_track.gpx
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The disadvantage of removing all dependencies is that the plot option had to be removed.
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I made a separate python script with one dependency for plotting tracks:
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* gpx_plot.py, a script to plot one or more tracks with [gnuplot][3].
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Gnuplot has to be installed and if the executable "gnuplot" is not in your path
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you have to specify the path with the command line option *-g /path/to/gnuplot*
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Usage example that compares a reduced track with the original:
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> gpx_plot.py your_track.gpx your_track_reduced.gpx
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and with the -g option:
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> gpx_plot.py -g /path/to/gnuplot your_track.gpx your_track_reduced.gpx
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A stand alone windows executable (win32, 3 Mb) can be downloaded from <https://wim.vree.org/sporen/gpx.html>
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(does not include [gnuplot][3])
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[1]: https://github.com/Alezy80/gpx_reduce/
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[3]: https://sourceforge.net/projects/gnuplot/files/gnuplot/
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