Created
November 9, 2021 22:17
-
-
Save squeezer44/c89114f884e37406a301b1f77be10bfe to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# ------------- | |
# Imports | |
import pandas as pd | |
pd.set_option("display.max_columns", 100) | |
import pprint | |
from stravalib.client import Client | |
# ------------- | |
# Variables | |
MY_STRAVA_CLIENT_ID, MY_STRAVA_CLIENT_SECRET = open('../poc_code/assets/client.secret').read().strip().split(',') | |
# ------------- | |
# list athletes activities | |
client = Client(access_token='I-AM-THE-TOKEN') | |
activities = client.get_activities(limit=1000) # get the list | |
# create a list with columns we want to see the related values | |
data = [] | |
my_cols =['name', | |
'start_date_local', | |
'type', | |
'distance', | |
'moving_time', | |
'elapsed_time', | |
'total_elevation_gain', | |
'elev_high', | |
'elev_low', | |
'average_speed', | |
'max_speed', | |
'average_heartrate', | |
'max_heartrate', | |
'start_latitude', | |
'start_longitude'] | |
for activity in activities: | |
my_dict = activity.to_dict() | |
data.append([activity.id] + [my_dict.get(x) for x in my_cols]) | |
# Add id to the beginning of the columns, used when selecting a specific activity | |
my_cols.insert(0, 'id') | |
# put the data into a dataframe | |
df = pd.DataFrame(data, columns=my_cols) | |
# print the first and the last activity | |
print(df.iloc[0]) | |
print(df.iloc[-1]) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment