#!/usr/bin/env python
# Athlete is Craig Peters, employee at Strava
# http://app.strava.com/athletes/103227
from strava import Athlete
# First, we set up a Strava Object for the Athlete that we want to query
st = Athlete(103227)
# Once we've gotten the Athlete's object, we can then look at various
# statistics - number of rides and total moving time are shown below.
# By default, we only look at the last 7 days.
print('Ridden %d rides' % st.ride_stats()['rides'])
print('Total moving time: %f minutes' %
(float(st.ride_stats()['moving_time']) / 60.0))
# We can then iterate through the rides, and further through the segments on
# each of those rides, displaying information from each. Ride details are stored
# in metric, so, we need to convert that to get imperial measurements.
for ride in st.rides():
print('Ride name: %s' % ride.name)
# convert from m/s to mph
# m/s * 2.23694 = mph
print('Average speed: %.1f mph' % (ride.detail.average_speed * 2.23694))
print('Average watts: %d' % ride.detail.average_watts)
for segment in ride.segments:
print(' Segment: %s\n Moving Time: %f minutes\n Average '
'Speed: %f mph' %
