getStravaData3.py

import requests
import json
import datetime
import time
from datetime import timedelta, date

import pandas as pd

'''
export all strava data to a csv
'''

BEARER_CODE = 'Bearer {put your code here}'

def getActivies(page_num):
    url = 'https://www.strava.com/api/v3/athletes/3587629/activities'
    header = {'Authorization':BEARER_CODE}
    payload = {'page':page_num, 'per_page':200}
    r = requests.get(url,headers=header,data=payload)
    return r.content

all_activies_df = pd.DataFrame()
current_page_num = 0
current_page = None
while current_page != '[]':
    print 'page num:', current_page_num
    current_page = getActivies(current_page_num)
    current_page_num += 1
    tmp_df = pd.read_json(current_page)
    all_activies_df = all_activies_df.append(tmp_df, ignore_index=True)
    print 'len all act df', len(all_activies_df)

all_activies_df.to_csv('/Users/joe/projects/strava-7/all_activies_df.csv',index=False, encoding='utf-8')

plotAllStravaData.py

import requests
import json
import datetime
import time
from datetime import timedelta, date

import pandas as pd


df = pd.read_csv('/Users/joe/projects/strava-7/all_activies_df.csv')

# filter to just runs
df = df[df['type']=='Run']
print len(df)
cols_I_want = ['total_elevation_gain', 'average_speed', 'distance', 'elapsed_time', 'start_date_local']

df = df[cols_I_want]

df['start_date_local'] = pd.to_datetime(df.start_date_local)
df = df.sort_values(by='start_date_local')

df2 = df.groupby([df['start_date_local'].dt.date])['distance','elapsed_time','total_elevation_gain'].sum()

new_idx = pd.date_range(df['start_date_local'].min(), df['start_date_local'].max(), normalize=True)

df2 = df2.reindex(new_idx, fill_value=0)
df2['ave_distance_past_7_days'] = pd.rolling_mean(arg=df2['distance'],window=7,min_periods=7,freq=None,center=False,how=None)
df2['total_distance_past_7_days'] = df2['distance'].rolling(window=7,min_periods=7).sum()
df = df2
del df['total_elevation_gain']
del df['elapsed_time']
df['date']=df.index

df = df[(df['date'] > '2016-01-01')]
print df.loc[df['total_distance_past_7_days'].idxmax()]

import numpy as np
import matplotlib
matplotlib.use("TkAgg")
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
labels = []
for col_name in df.columns.values:
    print col_name
    ax_s = []
    if col_name != 'date':
        ax = df.plot(ax=ax, kind='line', x='date', y=col_name, grid=True, markersize=10, style=['-'], figsize=(10,4))
        labels.append(col_name)
plt.legend(loc='center left', bbox_to_anchor=(1.0, 0.5))
plt.subplots_adjust(right=0.7)
plt.savefig("/Users/joe/projects/strava-7/output4.png")
plt.show()