eumiro / pygohome Goto Github PK

based on this tweet: https://twitter.com/eumiro/status/1257008378800484352?s=20

> Also I want to find a fast Pythonic way to read the GPX files to avoid (fast but still an extra step) gpsbabel.

I've had success with gpxpy (and I think now the slow datetime recognition is improved).

Basic usage:

with open(filename, 'rb') as gpx_file:
	gpx = gpxpy.parse(gpx_file, parser='lxml')
	#gpx = gpxpy.parse(gpx_file, parser='minidom')

# loop through gpx file and extract each point
for track in gpx.tracks:
	for segment in track.segments:
		for p in segment.points:
                # do something here

To convert lat/long to UTM grid, you can use this package: https://github.com/Turbo87/utm

import utm
utm.from_latlon(51.2, 7.5)

my opinion: rather than convert to a table/csv, I'd just convert the gpx to an array of dicts (one for each gps point), using the above tools. Then use pandas.from_dict().

... which is not ignored in .gitignore which means after a nox run there are uncommitted changes.

I am not familiar with poetry, so am not sure what to do about this.

1. Show segments and how many tracks are they covered with.
2. Show segments that have not been observed in both directions (a config file would be needed to ignore those that are one-way anyway).

… more ideas in further comments?

Use the world.single_source_periods method to plot an isochrone quantile-depending map.
The user chooses a POI and quantile and it shows the routes to all other waypoints and the period needed to get there.

In matplotlib there is pyplot.tricontour. Let's see what ipyleaflet can do.

If I upload GPX files whose total is over 10MB, it says nothing and they are not added to the world.

Looks like this will be solved with the next version of ipywidgets: jupyter-widgets/ipywidgets#2522

Instead of testing with real data and local knowledge, build a virtual city model with a few roads, intersections, 4–5 points of interest (home, work, shop, …) and a dozen or so of virtual GPX tracks, illustrating the principle and a few edge cases.