I added together two of my hobbies (running and python) into one python package: python-corrida is a small module based on a Fortran program originally designed by Paulo Polito. The module computes a spreadsheet for your training. It was based on a paper that, unfortunately, no one seems to find it anymore... Still, it works!

In addition to the training spreadsheet the module can convert GPX data from hand-held or phone GPS to a GeoJSON that is rendered automagically by github.

For the GPX to GeoJSON conversion all you need is GDAL. If you want to use the command line interface the command is:

ogr2ogr -f "GeoJSON" Running.json Running.gpx tracks

If you want a the python interface, here is a small script I wrote to do the same as above. It extract only 1 track and the geometry for that track. Most GPX from phone apps are in that format, so no harm there. By extracting just the geometry the GeoJSON will be ready to be rendered by github. And here the script that performs the conversion.

If you wish to plot it locally just use mplleaflet like in the example below.

In [2]:

import os
import json

import numpy as np
import matplotlib.pyplot as plt

import mplleaflet


with open('./data/2013-04-29-Running.geojson') as f:
    gj = json.load(f)
    
xy = np.array(gj['coordinates']).squeeze()

fig, ax = plt.subplots()
ax.plot(xy[:, 0], xy[:, 1], color='darkorange', linewidth=2)

mplleaflet.display(fig=fig, tiles='thunderforest_landscape')

Out[2]:

The frames look "split" due to a site css override in the map HTML. There are ways around this, but I am lazy ;-)

In [3]:

HTML(html)

Out[3]:

This post was written as an IPython notebook. It is available for download or as a static html.

python4oceanographers by Filipe Fernandes is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Based on a work at https://ocefpaf.github.io/.

python4oceanographers

Turning ripples into waves

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