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Strava/Strava Leaderboard - Richmond Park KOM update.ipynb
{
"cells": [
{
"metadata": {},
"cell_type": "markdown",
"source": "# Richmond Park KOM update\nHow does today's RP Leaderboard compare with the one I analysed two years ago?\n- Load the previosly saved 2017 leaderboard\n- And use the Strava API do download the latest leaderboard dated 25 April 2019"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "%matplotlib inline\nimport matplotlib.pylab as plt\nimport pandas as pd\nimport numpy as np\nimport Strava_Download as strava\nimport stravalib\n\nimport sys\nsys.path.append('/Users/Gavin/Gavin/Jupyter/Weather')\nfrom AirDensity import rhoCalc\n\nsegment = 610040\ngeo = pd.read_pickle('/Users/Gavin/Gavin/jupyter/Strava/'+str(segment)+'_geo.pkl')\n\nLB2017 = pd.read_pickle('/Users/Gavin/Gavin/jupyter/Strava/'+str(segment)+'_LB.pkl')\n",
"execution_count": 4,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "def get_strava_leaderboard( top=1000, segment_id=610040, gender=None, age_group=None,\n weight_class=None, following=None, club_id=None,\n timeframe=None, top_results_limit=200,\n page=None, context_entries=0):\n \"\"\" segment is the integer identifier used by Strava\n top is the number of entries from the top of the leaderboard\"\"\"\n \n mytoken = strava.get_token(tokenFile = '/Users/Gavin/Gavin/Tokens/stravaToken.txt')\n if mytoken:\n client = stravalib.Client(access_token = mytoken) \n else:\n return\n \n # Download the first 5 pages of leaderboard with 200 entries per page\n lbDict = []\n for n in range(int(top/200)):\n try:\n lbPages=client.get_segment_leaderboard(segment_id=segment_id, gender=gender, age_group=age_group,\n weight_class=weight_class, following=following, club_id=club_id,\n timeframe=timeframe, top_results_limit=200,\n page=n+1, context_entries=context_entries)\n lbDict += lbPages.to_dict()['entries']\n except:\n pass\n \n \n \n LB = pd.DataFrame(lbDict)\n \n # removes duplicates of client.athlete and reset index starting at 1\n LB.drop_duplicates(inplace=True)\n LB.index=range(1,len(LB)+1)\n \n return LB\n",
"execution_count": 5,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "LB = get_strava_leaderboard( top=1000, segment_id=610040)",
"execution_count": 6,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "LB.head()",
"execution_count": 7,
"outputs": [
{
"data": {
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>athlete_name</th>\n <th>elapsed_time</th>\n <th>moving_time</th>\n <th>rank</th>\n <th>start_date</th>\n <th>start_date_local</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>1</th>\n <td>Nick M.</td>\n <td>0:13:51</td>\n <td>0:13:51</td>\n <td>1</td>\n <td>2018-07-25T05:02:33+00:00</td>\n <td>2018-07-25T06:02:33</td>\n </tr>\n <tr>\n <th>2</th>\n <td>Piers C.</td>\n <td>0:13:51</td>\n <td>0:13:51</td>\n <td>1</td>\n <td>2018-07-25T05:02:33+00:00</td>\n <td>2018-07-25T06:02:33</td>\n </tr>\n <tr>\n <th>3</th>\n <td>Henry B.</td>\n <td>0:13:51</td>\n <td>0:13:51</td>\n <td>1</td>\n <td>2018-07-25T05:02:33+00:00</td>\n <td>2018-07-25T06:02:33</td>\n </tr>\n <tr>\n <th>4</th>\n <td>Ross C.</td>\n <td>0:13:51</td>\n <td>0:13:51</td>\n <td>1</td>\n <td>2018-07-25T05:02:34+00:00</td>\n <td>2018-07-25T06:02:34</td>\n </tr>\n <tr>\n <th>5</th>\n <td>Richard T.</td>\n <td>0:13:55</td>\n <td>0:13:55</td>\n <td>5</td>\n <td>2018-07-25T05:02:35+00:00</td>\n <td>2018-07-25T06:02:35</td>\n </tr>\n </tbody>\n</table>\n</div>",
"text/plain": " athlete_name elapsed_time moving_time rank start_date \\\n1 Nick M. 0:13:51 0:13:51 1 2018-07-25T05:02:33+00:00 \n2 Piers C. 0:13:51 0:13:51 1 2018-07-25T05:02:33+00:00 \n3 Henry B. 0:13:51 0:13:51 1 2018-07-25T05:02:33+00:00 \n4 Ross C. 0:13:51 0:13:51 1 2018-07-25T05:02:34+00:00 \n5 Richard T. 0:13:55 0:13:55 5 2018-07-25T05:02:35+00:00 \n\n start_date_local \n1 2018-07-25T06:02:33 \n2 2018-07-25T06:02:33 \n3 2018-07-25T06:02:33 \n4 2018-07-25T06:02:34 \n5 2018-07-25T06:02:35 "
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "dt=pd.Timestamp.now().strftime('%y%m%d')\n\nLB.to_excel(f'610040_LB_{dt}API.xlsx')\nLB.to_pickle(f'610040_LB_{dt}API.pkl')",
"execution_count": 109,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Data cleaning\n\nIt is extremely annoying that the latest versions of the stravalib API only provides a limited amount of leaderboard data. Previously, it was possible to see the full name of the athlete, effort id, activity id, power data etc.. This is still visible on the website, so I manually scraped the leaderboard from the publicly available page https://www.strava.com/segments/610040 \n\n- The only benefit of using the API is that it provides the time of day for the ride, which does not appear on the scraped leaderboard.\n- Unfortunately the \"scraped leaderboard\" was not in the same order as the \"API leaderboard\", so I had to do a whole load of messing around in Excel lining up the names and dates for riders who were tied on the leaderboard. \n- Finally I have a clear 2019 leaderboard for date 26-Apr-2019"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "LB2019 = pd.read_excel('610040_LB_190426.xlsx')\n\n# Tidy things up\nLB2019.index = LB2019.index+1\nLB2019.start_date_local = pd.to_datetime(LB2019.start_date_local)\nLB2019.Speed = LB2019.Speed.apply(lambda x: float(x.split('k')[0]))\nLB2019.HR = LB2019.HR.apply(lambda x: float(x.split('b')[0]) if len(x)>1 else x)\nLB2019.Power = LB2019.Power.apply(lambda x: float(x.split('W')[0]) if len(x)>1 else x)\nLB2019.elapsed_time = pd.to_timedelta(LB2019.elapsed_time)\nLB2019['Seconds'] = LB2019.elapsed_time.apply(lambda x: x.seconds)\n\nLB2019.head()",
"execution_count": 139,
"outputs": [
{
"data": {
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Rank</th>\n <th>Name</th>\n <th>Date</th>\n <th>Speed</th>\n <th>HR</th>\n <th>Power</th>\n <th>Powermeter</th>\n <th>Time</th>\n <th>http_athlete_id</th>\n <th>http_effort_id</th>\n <th>...</th>\n <th>Left_order</th>\n <th>Right_order</th>\n <th>athlete_name</th>\n <th>elapsed_time</th>\n <th>moving_time</th>\n <th>rank_2</th>\n <th>start_date</th>\n <th>start_date_local</th>\n <th>Left_order_calc</th>\n <th>Seconds</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>1</th>\n <td>1</td>\n <td>Nick Marriott - Onyx RT</td>\n <td>2018-07-25</td>\n <td>46.9</td>\n <td>172</td>\n <td>434</td>\n <td>1</td>\n <td>13:51:00</td>\n <td>https://www.strava.com/athletes/620119</td>\n <td>https://www.strava.com/segment_efforts/4325381...</td>\n <td>...</td>\n <td>1</td>\n <td>1</td>\n <td>Nick M.</td>\n <td>00:13:51</td>\n <td>0:13:51</td>\n <td>1</td>\n <td>2018-07-25T05:02:33+00:00</td>\n <td>2018-07-25 06:02:33</td>\n <td>1</td>\n <td>831</td>\n </tr>\n <tr>\n <th>2</th>\n <td>1</td>\n <td>Piers Curle | Onyx RT</td>\n <td>2018-07-25</td>\n <td>46.9</td>\n <td>-</td>\n <td>346</td>\n <td>1</td>\n <td>13:51:00</td>\n <td>https://www.strava.com/athletes/2845900</td>\n <td>https://www.strava.com/segment_efforts/4325390...</td>\n <td>...</td>\n <td>2</td>\n <td>2</td>\n <td>Piers C.</td>\n <td>00:13:51</td>\n <td>0:13:51</td>\n <td>1</td>\n <td>2018-07-25T05:02:33+00:00</td>\n <td>2018-07-25 06:02:33</td>\n <td>2</td>\n <td>831</td>\n </tr>\n <tr>\n <th>3</th>\n <td>1</td>\n <td>Henry Brendon - Onyx</td>\n <td>2018-07-25</td>\n <td>46.9</td>\n <td>-</td>\n <td>445</td>\n <td>1</td>\n <td>13:51:00</td>\n <td>https://www.strava.com/athletes/8354365</td>\n <td>https://www.strava.com/segment_efforts/4325425...</td>\n <td>...</td>\n <td>3</td>\n <td>3</td>\n <td>Henry B.</td>\n <td>00:13:51</td>\n <td>0:13:51</td>\n <td>1</td>\n <td>2018-07-25T05:02:33+00:00</td>\n <td>2018-07-25 06:02:33</td>\n <td>3</td>\n <td>831</td>\n </tr>\n <tr>\n <th>4</th>\n <td>1</td>\n <td>Ross Chaplin | Onyx RT</td>\n <td>2018-07-25</td>\n <td>46.9</td>\n <td>-</td>\n <td>380</td>\n <td>1</td>\n <td>13:51:00</td>\n <td>https://www.strava.com/athletes/6783493</td>\n <td>https://www.strava.com/segment_efforts/4325467...</td>\n <td>...</td>\n <td>4</td>\n <td>4</td>\n <td>Ross C.</td>\n <td>00:13:51</td>\n <td>0:13:51</td>\n <td>1</td>\n <td>2018-07-25T05:02:34+00:00</td>\n <td>2018-07-25 06:02:34</td>\n <td>4</td>\n <td>831</td>\n </tr>\n <tr>\n <th>5</th>\n <td>5</td>\n <td>Richard Todd - Onyx RT</td>\n <td>2018-07-25</td>\n <td>46.6</td>\n <td>-</td>\n <td>374</td>\n <td>1</td>\n <td>13:55:00</td>\n <td>https://www.strava.com/athletes/1070837</td>\n <td>https://www.strava.com/segment_efforts/4325353...</td>\n <td>...</td>\n <td>5</td>\n <td>5</td>\n <td>Richard T.</td>\n <td>00:13:55</td>\n <td>0:13:55</td>\n <td>5</td>\n <td>2018-07-25T05:02:35+00:00</td>\n <td>2018-07-25 06:02:35</td>\n <td>5</td>\n <td>835</td>\n </tr>\n </tbody>\n</table>\n<p>5 rows × 25 columns</p>\n</div>",
"text/plain": " Rank Name Date Speed HR Power Powermeter \\\n1 1 Nick Marriott - Onyx RT 2018-07-25 46.9 172 434 1 \n2 1 Piers Curle | Onyx RT 2018-07-25 46.9 - 346 1 \n3 1 Henry Brendon - Onyx 2018-07-25 46.9 - 445 1 \n4 1 Ross Chaplin | Onyx RT 2018-07-25 46.9 - 380 1 \n5 5 Richard Todd - Onyx RT 2018-07-25 46.6 - 374 1 \n\n Time http_athlete_id \\\n1 13:51:00 https://www.strava.com/athletes/620119 \n2 13:51:00 https://www.strava.com/athletes/2845900 \n3 13:51:00 https://www.strava.com/athletes/8354365 \n4 13:51:00 https://www.strava.com/athletes/6783493 \n5 13:55:00 https://www.strava.com/athletes/1070837 \n\n http_effort_id ... Left_order \\\n1 https://www.strava.com/segment_efforts/4325381... ... 1 \n2 https://www.strava.com/segment_efforts/4325390... ... 2 \n3 https://www.strava.com/segment_efforts/4325425... ... 3 \n4 https://www.strava.com/segment_efforts/4325467... ... 4 \n5 https://www.strava.com/segment_efforts/4325353... ... 5 \n\n Right_order athlete_name elapsed_time moving_time rank_2 \\\n1 1 Nick M. 00:13:51 0:13:51 1 \n2 2 Piers C. 00:13:51 0:13:51 1 \n3 3 Henry B. 00:13:51 0:13:51 1 \n4 4 Ross C. 00:13:51 0:13:51 1 \n5 5 Richard T. 00:13:55 0:13:55 5 \n\n start_date start_date_local Left_order_calc Seconds \n1 2018-07-25T05:02:33+00:00 2018-07-25 06:02:33 1 831 \n2 2018-07-25T05:02:33+00:00 2018-07-25 06:02:33 2 831 \n3 2018-07-25T05:02:33+00:00 2018-07-25 06:02:33 3 831 \n4 2018-07-25T05:02:34+00:00 2018-07-25 06:02:34 4 831 \n5 2018-07-25T05:02:35+00:00 2018-07-25 06:02:35 5 835 \n\n[5 rows x 25 columns]"
},
"execution_count": 139,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "LB2017['Seconds'] = pd.to_timedelta(LB2017.elapsed_time).apply(lambda x: x.seconds)\n\nLB2017.head()",
"execution_count": 37,
"outputs": [
{
"data": {
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>activity_id</th>\n <th>athlete_gender</th>\n <th>athlete_id</th>\n <th>athlete_name</th>\n <th>athlete_profile</th>\n <th>average_hr</th>\n <th>average_watts</th>\n <th>distance</th>\n <th>effort_id</th>\n <th>elapsed_time</th>\n <th>moving_time</th>\n <th>rank</th>\n <th>start_date_local</th>\n <th>Seconds</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>1</th>\n <td>367579592</td>\n <td>M</td>\n <td>148510</td>\n <td>Rob Sharland</td>\n <td>https://dgalywyr863hv.cloudfront.net/pictures/...</td>\n <td>NaN</td>\n <td>392.9</td>\n <td>10807.4</td>\n <td>8778121649</td>\n <td>00:13:57</td>\n <td>00:13:57</td>\n <td>1</td>\n <td>2015-08-12 20:31:06</td>\n <td>837</td>\n </tr>\n <tr>\n <th>2</th>\n <td>719686564</td>\n <td>M</td>\n <td>690619</td>\n <td>richard mason</td>\n <td>avatar/athlete/large.png</td>\n <td>171.1</td>\n <td>453.9</td>\n <td>10943.6</td>\n <td>17659926784</td>\n <td>00:14:01</td>\n <td>00:14:01</td>\n <td>2</td>\n <td>2016-09-21 06:34:30</td>\n <td>841</td>\n </tr>\n <tr>\n <th>3</th>\n <td>719611363</td>\n <td>M</td>\n <td>442220</td>\n <td>Barnabas Purbrook</td>\n <td>https://dgalywyr863hv.cloudfront.net/pictures/...</td>\n <td>177.8</td>\n <td>389.8</td>\n <td>10741.3</td>\n <td>17658207678</td>\n <td>00:14:02</td>\n <td>00:14:02</td>\n <td>3</td>\n <td>2016-09-21 06:34:29</td>\n <td>842</td>\n </tr>\n <tr>\n <th>4</th>\n <td>719856751</td>\n <td>M</td>\n <td>59039</td>\n <td>Alexander Donaldson</td>\n <td>https://dgalywyr863hv.cloudfront.net/pictures/...</td>\n <td>157.0</td>\n <td>314.9</td>\n <td>10768.6</td>\n <td>17663973529</td>\n <td>00:14:02</td>\n <td>00:14:02</td>\n <td>3</td>\n <td>2016-09-21 06:34:24</td>\n <td>842</td>\n </tr>\n <tr>\n <th>5</th>\n <td>719598443</td>\n <td>M</td>\n <td>1457685</td>\n <td>Tom Hargreaves</td>\n <td>https://dgalywyr863hv.cloudfront.net/pictures/...</td>\n <td>179.9</td>\n <td>0.0</td>\n <td>10803.4</td>\n <td>17657927173</td>\n <td>00:14:03</td>\n <td>00:14:03</td>\n <td>5</td>\n <td>2016-09-21 06:34:26</td>\n <td>843</td>\n </tr>\n </tbody>\n</table>\n</div>",
"text/plain": " activity_id athlete_gender athlete_id athlete_name \\\n1 367579592 M 148510 Rob Sharland \n2 719686564 M 690619 richard mason \n3 719611363 M 442220 Barnabas Purbrook \n4 719856751 M 59039 Alexander Donaldson \n5 719598443 M 1457685 Tom Hargreaves \n\n athlete_profile average_hr \\\n1 https://dgalywyr863hv.cloudfront.net/pictures/... NaN \n2 avatar/athlete/large.png 171.1 \n3 https://dgalywyr863hv.cloudfront.net/pictures/... 177.8 \n4 https://dgalywyr863hv.cloudfront.net/pictures/... 157.0 \n5 https://dgalywyr863hv.cloudfront.net/pictures/... 179.9 \n\n average_watts distance effort_id elapsed_time moving_time rank \\\n1 392.9 10807.4 8778121649 00:13:57 00:13:57 1 \n2 453.9 10943.6 17659926784 00:14:01 00:14:01 2 \n3 389.8 10741.3 17658207678 00:14:02 00:14:02 3 \n4 314.9 10768.6 17663973529 00:14:02 00:14:02 3 \n5 0.0 10803.4 17657927173 00:14:03 00:14:03 5 \n\n start_date_local Seconds \n1 2015-08-12 20:31:06 837 \n2 2016-09-21 06:34:30 841 \n3 2016-09-21 06:34:29 842 \n4 2016-09-21 06:34:24 842 \n5 2016-09-21 06:34:26 843 "
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Count how many efforts have survived from the previous leaderboard\nI did this in two ways\n- count entries in 2019 leaderboard with dates ealier than previous analysis\n- count intersection of effort_ids\n- it turns out that there are 32 anomolies that appear in the 2019 leaderboard, that were missing from the 2017 leaderboard even though these efforts were dated earlier than the previous analysis\n - 23 recalculated efforts\n - 3 instances of different segments taken from the same ride\n - 6 old efforts subsequently uploaded (2 for existing riders and 4 new ones)\n"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "len(LB2019[LB2019.start_date_local<=LB2017.start_date_local.max()])",
"execution_count": 116,
"outputs": [
{
"data": {
"text/plain": "382"
},
"execution_count": 116,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "common = set(LB2017.effort_id).intersection(set(LB2019.effort_id)); len(common)",
"execution_count": 46,
"outputs": [
{
"data": {
"text/plain": "350"
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Curious anomaly\n32 efforts appearing on the 2019 leaderboard were recorded on dates that should have shown up on the 2017 leaderboard. Among these, 23 had new time calculations for the same segment, with a new effort_id being assigned."
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "xx = LB2019.loc[[i for i in LB2019.index if LB2019.effort_id.loc[i] not in common]].sort_values('Date')\nxxdates = xx.loc[[i for i in xx.index if xx.start_date_local[i]<=LB2017.start_date_local.max()]].start_date_local\nxx = xx[xx.start_date_local<=LB2017.start_date_local.max()]\nLB2017.athlete_id = LB2017.athlete_id.astype('str')\nLB2017.effort_id = LB2017.effort_id.astype('str')\n\nxx = xx.merge(LB2017,how='left',on='athlete_id',suffixes=['_2019','_2017'])\nxx['Diff'] = xx.Seconds_2019-xx.Seconds_2017\nprint ('Recalculated times for the same efforts')\nxx[['Name','elapsed_time_2019','elapsed_time_2017',\n 'Diff','start_date_local_2019', 'start_date_local_2017','effort_id_2019',\n 'effort_id_2017']][abs(xx.start_date_local_2019-xx.start_date_local_2017)<pd.Timedelta('00:00:05')].sort_values('Diff', ascending=False).dropna()\n\n",
"execution_count": 220,
"outputs": [
{
"output_type": "stream",
"text": "Recalculated times for the same efforts\n",
"name": "stdout"
},
{
"output_type": "execute_result",
"execution_count": 220,
"data": {
"text/plain": " Name elapsed_time_2019 \\\n31 Michael Weekes 00:15:49 \n30 Matt Langworthy 00:16:42 \n29 Stephen Hough Ⓢ 00:17:02 \n25 Callum Clarke 00:14:26 \n16 Daniel Cooper 00:14:44 \n27 Gavin Ryan 00:14:20 \n6 R. Sibbe 00:15:24 \n7 matt ford 00:16:48 \n10 Cameron Fraser (Nuun-Sigma Sport-London RT) 00:15:46 \n11 Peter Carmichael 00:16:51 \n13 James Local 00:15:34 \n24 Therese Coen 00:16:15 \n23 Alexander Bastin 00:15:51 \n0 Ralph Carter 00:16:23 \n5 Simon Bromley 00:15:30 \n14 Charlie G 00:15:41 \n15 Rory White 00:17:07 \n4 Robert Davies 00:15:53 \n22 nadeem khan ☕️ 00:16:48 \n1 Keith Thompson 00:16:51 \n9 Alex Ioannides 00:17:06 \n3 Lee Comerford 00:16:34 \n17 Mathieu Fox 00:16:56 \n\n elapsed_time_2017 Diff start_date_local_2019 start_date_local_2017 \\\n31 00:15:49 0.0 2016-10-29 08:21:17 2016-10-29 08:21:17 \n30 00:16:42 0.0 2016-10-05 14:03:44 2016-10-05 14:03:44 \n29 00:17:02 0.0 2016-09-21 07:01:44 2016-09-21 07:01:44 \n25 00:14:28 -2.0 2016-08-15 20:19:03 2016-08-15 20:19:03 \n16 00:14:47 -3.0 2016-04-13 06:12:08 2016-04-13 06:12:07 \n27 00:14:23 -3.0 2016-08-25 19:54:37 2016-08-25 19:54:36 \n6 00:15:27 -3.0 2014-05-28 19:45:08 2014-05-28 19:45:08 \n7 00:16:51 -3.0 2014-07-22 06:03:14 2014-07-22 06:03:14 \n10 00:15:49 -3.0 2014-10-03 09:52:40 2014-10-03 09:52:40 \n11 00:16:54 -3.0 2015-04-18 18:40:57 2015-04-18 18:40:57 \n13 00:15:37 -3.0 2015-07-16 18:01:58 2015-07-16 18:01:58 \n24 00:16:18 -3.0 2016-07-31 19:34:24 2016-07-31 19:34:24 \n23 00:15:54 -3.0 2016-07-27 19:22:46 2016-07-27 19:22:45 \n0 00:16:27 -4.0 2011-09-17 08:57:56 2011-09-17 08:57:55 \n5 00:15:34 -4.0 2013-09-04 19:30:09 2013-09-04 19:30:08 \n14 00:15:45 -4.0 2015-08-02 20:55:09 2015-08-02 20:55:07 \n15 00:17:12 -5.0 2015-08-12 18:58:56 2015-08-12 18:58:52 \n4 00:15:59 -6.0 2013-08-14 19:33:41 2013-08-14 19:33:39 \n22 00:16:55 -7.0 2016-07-23 09:00:06 2016-07-23 09:00:05 \n1 00:16:58 -7.0 2013-07-07 19:31:43 2013-07-07 19:31:40 \n9 00:17:13 -7.0 2014-09-28 07:40:52 2014-09-28 07:40:48 \n3 00:16:41 -7.0 2013-08-03 09:10:43 2013-08-03 09:10:41 \n17 00:17:06 -10.0 2016-05-04 19:58:30 2016-05-04 19:58:30 \n\n effort_id_2019 effort_id_2017 \n31 37917534322 18594000250 \n30 36381051615 18272464333 \n29 31511557930 17658735166 \n25 57989425418 16601324697 \n16 46775791252 13115377545 \n27 36450361700 16884149245 \n6 43899023358 3359486304 \n7 47993212663 3941086140 \n10 45292270175 4772061357 \n11 57484797699 6759444369 \n13 55809579072 8262931244 \n24 47659584872 16245188360 \n23 58016992019 16041361254 \n0 53573013620 26598724 \n5 40970571334 3398812489 \n14 51796913261 8582618389 \n15 30597569359 8775570738 \n4 49222897487 1482755166 \n22 46968319356 15908885020 \n1 46931287680 2793827833 \n9 54410709499 4723642505 \n3 43807527193 1407348381 \n17 39848347077 13705391201 ",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Name</th>\n <th>elapsed_time_2019</th>\n <th>elapsed_time_2017</th>\n <th>Diff</th>\n <th>start_date_local_2019</th>\n <th>start_date_local_2017</th>\n <th>effort_id_2019</th>\n <th>effort_id_2017</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>31</th>\n <td>Michael Weekes</td>\n <td>00:15:49</td>\n <td>00:15:49</td>\n <td>0.0</td>\n <td>2016-10-29 08:21:17</td>\n <td>2016-10-29 08:21:17</td>\n <td>37917534322</td>\n <td>18594000250</td>\n </tr>\n <tr>\n <th>30</th>\n <td>Matt Langworthy</td>\n <td>00:16:42</td>\n <td>00:16:42</td>\n <td>0.0</td>\n <td>2016-10-05 14:03:44</td>\n <td>2016-10-05 14:03:44</td>\n <td>36381051615</td>\n <td>18272464333</td>\n </tr>\n <tr>\n <th>29</th>\n <td>Stephen Hough Ⓢ</td>\n <td>00:17:02</td>\n <td>00:17:02</td>\n <td>0.0</td>\n <td>2016-09-21 07:01:44</td>\n <td>2016-09-21 07:01:44</td>\n <td>31511557930</td>\n <td>17658735166</td>\n </tr>\n <tr>\n <th>25</th>\n <td>Callum Clarke</td>\n <td>00:14:26</td>\n <td>00:14:28</td>\n <td>-2.0</td>\n <td>2016-08-15 20:19:03</td>\n <td>2016-08-15 20:19:03</td>\n <td>57989425418</td>\n <td>16601324697</td>\n </tr>\n <tr>\n <th>16</th>\n <td>Daniel Cooper</td>\n <td>00:14:44</td>\n <td>00:14:47</td>\n <td>-3.0</td>\n <td>2016-04-13 06:12:08</td>\n <td>2016-04-13 06:12:07</td>\n <td>46775791252</td>\n <td>13115377545</td>\n </tr>\n <tr>\n <th>27</th>\n <td>Gavin Ryan</td>\n <td>00:14:20</td>\n <td>00:14:23</td>\n <td>-3.0</td>\n <td>2016-08-25 19:54:37</td>\n <td>2016-08-25 19:54:36</td>\n <td>36450361700</td>\n <td>16884149245</td>\n </tr>\n <tr>\n <th>6</th>\n <td>R. Sibbe</td>\n <td>00:15:24</td>\n <td>00:15:27</td>\n <td>-3.0</td>\n <td>2014-05-28 19:45:08</td>\n <td>2014-05-28 19:45:08</td>\n <td>43899023358</td>\n <td>3359486304</td>\n </tr>\n <tr>\n <th>7</th>\n <td>matt ford</td>\n <td>00:16:48</td>\n <td>00:16:51</td>\n <td>-3.0</td>\n <td>2014-07-22 06:03:14</td>\n <td>2014-07-22 06:03:14</td>\n <td>47993212663</td>\n <td>3941086140</td>\n </tr>\n <tr>\n <th>10</th>\n <td>Cameron Fraser (Nuun-Sigma Sport-London RT)</td>\n <td>00:15:46</td>\n <td>00:15:49</td>\n <td>-3.0</td>\n <td>2014-10-03 09:52:40</td>\n <td>2014-10-03 09:52:40</td>\n <td>45292270175</td>\n <td>4772061357</td>\n </tr>\n <tr>\n <th>11</th>\n <td>Peter Carmichael</td>\n <td>00:16:51</td>\n <td>00:16:54</td>\n <td>-3.0</td>\n <td>2015-04-18 18:40:57</td>\n <td>2015-04-18 18:40:57</td>\n <td>57484797699</td>\n <td>6759444369</td>\n </tr>\n <tr>\n <th>13</th>\n <td>James Local</td>\n <td>00:15:34</td>\n <td>00:15:37</td>\n <td>-3.0</td>\n <td>2015-07-16 18:01:58</td>\n <td>2015-07-16 18:01:58</td>\n <td>55809579072</td>\n <td>8262931244</td>\n </tr>\n <tr>\n <th>24</th>\n <td>Therese Coen</td>\n <td>00:16:15</td>\n <td>00:16:18</td>\n <td>-3.0</td>\n <td>2016-07-31 19:34:24</td>\n <td>2016-07-31 19:34:24</td>\n <td>47659584872</td>\n <td>16245188360</td>\n </tr>\n <tr>\n <th>23</th>\n <td>Alexander Bastin</td>\n <td>00:15:51</td>\n <td>00:15:54</td>\n <td>-3.0</td>\n <td>2016-07-27 19:22:46</td>\n <td>2016-07-27 19:22:45</td>\n <td>58016992019</td>\n <td>16041361254</td>\n </tr>\n <tr>\n <th>0</th>\n <td>Ralph Carter</td>\n <td>00:16:23</td>\n <td>00:16:27</td>\n <td>-4.0</td>\n <td>2011-09-17 08:57:56</td>\n <td>2011-09-17 08:57:55</td>\n <td>53573013620</td>\n <td>26598724</td>\n </tr>\n <tr>\n <th>5</th>\n <td>Simon Bromley</td>\n <td>00:15:30</td>\n <td>00:15:34</td>\n <td>-4.0</td>\n <td>2013-09-04 19:30:09</td>\n <td>2013-09-04 19:30:08</td>\n <td>40970571334</td>\n <td>3398812489</td>\n </tr>\n <tr>\n <th>14</th>\n <td>Charlie G</td>\n <td>00:15:41</td>\n <td>00:15:45</td>\n <td>-4.0</td>\n <td>2015-08-02 20:55:09</td>\n <td>2015-08-02 20:55:07</td>\n <td>51796913261</td>\n <td>8582618389</td>\n </tr>\n <tr>\n <th>15</th>\n <td>Rory White</td>\n <td>00:17:07</td>\n <td>00:17:12</td>\n <td>-5.0</td>\n <td>2015-08-12 18:58:56</td>\n <td>2015-08-12 18:58:52</td>\n <td>30597569359</td>\n <td>8775570738</td>\n </tr>\n <tr>\n <th>4</th>\n <td>Robert Davies</td>\n <td>00:15:53</td>\n <td>00:15:59</td>\n <td>-6.0</td>\n <td>2013-08-14 19:33:41</td>\n <td>2013-08-14 19:33:39</td>\n <td>49222897487</td>\n <td>1482755166</td>\n </tr>\n <tr>\n <th>22</th>\n <td>nadeem khan ☕️</td>\n <td>00:16:48</td>\n <td>00:16:55</td>\n <td>-7.0</td>\n <td>2016-07-23 09:00:06</td>\n <td>2016-07-23 09:00:05</td>\n <td>46968319356</td>\n <td>15908885020</td>\n </tr>\n <tr>\n <th>1</th>\n <td>Keith Thompson</td>\n <td>00:16:51</td>\n <td>00:16:58</td>\n <td>-7.0</td>\n <td>2013-07-07 19:31:43</td>\n <td>2013-07-07 19:31:40</td>\n <td>46931287680</td>\n <td>2793827833</td>\n </tr>\n <tr>\n <th>9</th>\n <td>Alex Ioannides</td>\n <td>00:17:06</td>\n <td>00:17:13</td>\n <td>-7.0</td>\n <td>2014-09-28 07:40:52</td>\n <td>2014-09-28 07:40:48</td>\n <td>54410709499</td>\n <td>4723642505</td>\n </tr>\n <tr>\n <th>3</th>\n <td>Lee Comerford</td>\n <td>00:16:34</td>\n <td>00:16:41</td>\n <td>-7.0</td>\n <td>2013-08-03 09:10:43</td>\n <td>2013-08-03 09:10:41</td>\n <td>43807527193</td>\n <td>1407348381</td>\n </tr>\n <tr>\n <th>17</th>\n <td>Mathieu Fox</td>\n <td>00:16:56</td>\n <td>00:17:06</td>\n <td>-10.0</td>\n <td>2016-05-04 19:58:30</td>\n <td>2016-05-04 19:58:30</td>\n <td>39848347077</td>\n <td>13705391201</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Calculate improvement in times, fastest and average\n- Fastest time improved by 6 seconds\n- Average time improved by 35 seconds\n- Of the 591 people appearing on both leaderboards, 229 improved their times by an average of 53 seconds"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "import time\nimport matplotlib\nformatter = matplotlib.ticker.FuncFormatter(lambda s, x: time.strftime('%M:%S', time.gmtime(s)))\n\nfig, ax = plt.subplots(figsize=(12,6))\nplt.hist(LB2019['Seconds'],bins=range(820,1080,5), alpha=0.5,label='2019');\nplt.hist(LB2017['Seconds'],bins=range(820,1080,5), alpha=0.5,label='2017',color='r');\nplt.legend(loc='upper left');\nax.xaxis.set_major_formatter(formatter)\nplt.title('Histograms of 2019 and 2017 Leaderboards\\n Top 1000 Times');\nplt.savefig('Hist20172019.png')",
"execution_count": 263,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 864x432 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "LB2019.Seconds.min()-LB2017.Seconds.min(), LB2019.Seconds.mean()-LB2017.Seconds.mean(),(LB2017.Seconds.mean()/LB2019.Seconds.mean())**(12/26)-1\n\n",
"execution_count": 172,
"outputs": [
{
"data": {
"text/plain": "(-6, -34.934999999999945, 0.0163114892677394)"
},
"execution_count": 172,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "LBComb = LB2019.merge(LB2017, 'inner', on='athlete_id',suffixes=['_2019','_2017'] )",
"execution_count": 141,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "len(LBComb)",
"execution_count": 142,
"outputs": [
{
"data": {
"text/plain": "591"
},
"execution_count": 142,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "LBComb[LBComb.start_date_local_2019>LBComb.start_date_local_2017][['Name','elapsed_time_2019','elapsed_time_2017','start_date_local_2019',\n 'start_date_local_2017','effort_id_2019','effort_id_2017', 'Seconds_2019', 'Seconds_2017']].describe()",
"execution_count": 144,
"outputs": [
{
"data": {
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>elapsed_time_2019</th>\n <th>elapsed_time_2017</th>\n <th>effort_id_2019</th>\n <th>Seconds_2019</th>\n <th>Seconds_2017</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>count</th>\n <td>229</td>\n <td>229</td>\n <td>2.290000e+02</td>\n <td>229.000000</td>\n <td>229.000000</td>\n </tr>\n <tr>\n <th>mean</th>\n <td>0 days 00:15:57.930131</td>\n <td>0 days 00:16:50.786026</td>\n <td>3.779438e+10</td>\n <td>957.930131</td>\n <td>1010.786026</td>\n </tr>\n <tr>\n <th>std</th>\n <td>0 days 00:00:48.290190</td>\n <td>0 days 00:00:38.535271</td>\n <td>1.054124e+10</td>\n <td>48.290190</td>\n <td>38.535272</td>\n </tr>\n <tr>\n <th>min</th>\n <td>0 days 00:13:51</td>\n <td>0 days 00:14:23</td>\n <td>4.021630e+09</td>\n <td>831.000000</td>\n <td>863.000000</td>\n </tr>\n <tr>\n <th>25%</th>\n <td>0 days 00:15:21</td>\n <td>0 days 00:16:29</td>\n <td>2.680535e+10</td>\n <td>921.000000</td>\n <td>989.000000</td>\n </tr>\n <tr>\n <th>50%</th>\n <td>0 days 00:16:08</td>\n <td>0 days 00:16:59</td>\n <td>4.150003e+10</td>\n <td>968.000000</td>\n <td>1019.000000</td>\n </tr>\n <tr>\n <th>75%</th>\n <td>0 days 00:16:34</td>\n <td>0 days 00:17:19</td>\n <td>4.357027e+10</td>\n <td>994.000000</td>\n <td>1039.000000</td>\n </tr>\n <tr>\n <th>max</th>\n <td>0 days 00:17:09</td>\n <td>0 days 00:17:41</td>\n <td>5.856852e+10</td>\n <td>1029.000000</td>\n <td>1061.000000</td>\n </tr>\n </tbody>\n</table>\n</div>",
"text/plain": " elapsed_time_2019 elapsed_time_2017 effort_id_2019 \\\ncount 229 229 2.290000e+02 \nmean 0 days 00:15:57.930131 0 days 00:16:50.786026 3.779438e+10 \nstd 0 days 00:00:48.290190 0 days 00:00:38.535271 1.054124e+10 \nmin 0 days 00:13:51 0 days 00:14:23 4.021630e+09 \n25% 0 days 00:15:21 0 days 00:16:29 2.680535e+10 \n50% 0 days 00:16:08 0 days 00:16:59 4.150003e+10 \n75% 0 days 00:16:34 0 days 00:17:19 4.357027e+10 \nmax 0 days 00:17:09 0 days 00:17:41 5.856852e+10 \n\n Seconds_2019 Seconds_2017 \ncount 229.000000 229.000000 \nmean 957.930131 1010.786026 \nstd 48.290190 38.535272 \nmin 831.000000 863.000000 \n25% 921.000000 989.000000 \n50% 968.000000 1019.000000 \n75% 994.000000 1039.000000 \nmax 1029.000000 1061.000000 "
},
"execution_count": 144,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "1010.786026-957.930131",
"execution_count": 145,
"outputs": [
{
"data": {
"text/plain": "52.85589500000003"
},
"execution_count": 145,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Find the ranking that the 1000th rider on the 2019 leaderboard would have achieved on the 2017 leaderboard"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "LBComb[LBComb.Seconds_2017==1029]",
"execution_count": 174,
"outputs": [
{
"data": {
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Rank</th>\n <th>Name</th>\n <th>Date</th>\n <th>Speed</th>\n <th>HR</th>\n <th>Power</th>\n <th>Powermeter</th>\n <th>Time</th>\n <th>http_athlete_id</th>\n <th>http_effort_id</th>\n <th>...</th>\n <th>athlete_profile</th>\n <th>average_hr</th>\n <th>average_watts</th>\n <th>distance</th>\n <th>effort_id_2017</th>\n <th>elapsed_time_2017</th>\n <th>moving_time_2017</th>\n <th>rank</th>\n <th>start_date_local_2017</th>\n <th>Seconds_2017</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>154</th>\n <td>190</td>\n <td>Damien Clayton</td>\n <td>2017-08-09</td>\n <td>41.3</td>\n <td>176</td>\n <td>385</td>\n <td>1</td>\n <td>15:44:00</td>\n <td>https://www.strava.com/athletes/16438175</td>\n <td>https://www.strava.com/segment_efforts/2770480...</td>\n <td>...</td>\n <td>https://dgalywyr863hv.cloudfront.net/pictures/...</td>\n <td>NaN</td>\n <td>297.5</td>\n <td>10744.9</td>\n <td>18093920868</td>\n <td>00:17:09</td>\n <td>00:17:09</td>\n <td>503</td>\n <td>2016-10-08 09:09:22</td>\n <td>1029</td>\n </tr>\n <tr>\n <th>253</th>\n <td>345</td>\n <td>Pete Hair</td>\n <td>2017-07-04</td>\n <td>40.1</td>\n <td>-</td>\n <td>270</td>\n <td>1</td>\n <td>16:11:00</td>\n <td>https://www.strava.com/athletes/240724</td>\n <td>https://www.strava.com/segment_efforts/2624530...</td>\n <td>...</td>\n <td>https://dgalywyr863hv.cloudfront.net/pictures/...</td>\n <td>NaN</td>\n <td>312.8</td>\n <td>10793.9</td>\n <td>17988998630</td>\n <td>00:17:09</td>\n <td>00:17:09</td>\n <td>503</td>\n <td>2016-10-03 18:45:19</td>\n <td>1029</td>\n </tr>\n <tr>\n <th>512</th>\n <td>826</td>\n <td>Phillip Killicoat</td>\n <td>2017-06-24</td>\n <td>38.2</td>\n <td>158</td>\n <td>288</td>\n <td>1</td>\n <td>16:59:00</td>\n <td>https://www.strava.com/athletes/2624571</td>\n <td>https://www.strava.com/segment_efforts/2584868...</td>\n <td>...</td>\n <td>https://dgalywyr863hv.cloudfront.net/pictures/...</td>\n <td>156.1</td>\n <td>253.0</td>\n <td>10776.8</td>\n <td>21187962437</td>\n <td>00:17:09</td>\n <td>00:17:09</td>\n <td>503</td>\n <td>2017-02-18 10:01:59</td>\n <td>1029</td>\n </tr>\n <tr>\n <th>582</th>\n <td>987</td>\n <td>Chris Beard</td>\n <td>2011-05-04</td>\n <td>37.8</td>\n <td>-</td>\n <td>-</td>\n <td>0</td>\n <td>17:09:00</td>\n <td>https://www.strava.com/athletes/105015</td>\n <td>https://www.strava.com/segment_efforts/19863683</td>\n <td>...</td>\n <td>avatar/athlete/large.png</td>\n <td>NaN</td>\n <td>NaN</td>\n <td>10783.0</td>\n <td>19863683</td>\n <td>00:17:09</td>\n <td>00:17:09</td>\n <td>503</td>\n <td>2011-05-04 17:22:59</td>\n <td>1029</td>\n </tr>\n <tr>\n <th>583</th>\n <td>987</td>\n <td>Morgan Lloyd</td>\n <td>2014-06-11</td>\n <td>37.8</td>\n <td>-</td>\n <td>287</td>\n <td>0</td>\n <td>17:09:00</td>\n <td>https://www.strava.com/athletes/1796143</td>\n <td>https://www.strava.com/segment_efforts/3509806553</td>\n <td>...</td>\n <td>https://dgalywyr863hv.cloudfront.net/pictures/...</td>\n <td>NaN</td>\n <td>287.1</td>\n <td>10796.5</td>\n <td>3509806553</td>\n <td>00:17:09</td>\n <td>00:17:09</td>\n <td>503</td>\n <td>2014-06-11 19:23:10</td>\n <td>1029</td>\n </tr>\n <tr>\n <th>584</th>\n <td>987</td>\n <td>Filippo Sbalchiero</td>\n <td>2015-05-27</td>\n <td>37.8</td>\n <td>168</td>\n <td>286</td>\n <td>0</td>\n <td>17:09:00</td>\n <td>https://www.strava.com/athletes/3851812</td>\n <td>https://www.strava.com/segment_efforts/1816329...</td>\n <td>...</td>\n <td>https://dgalywyr863hv.cloudfront.net/pictures/...</td>\n <td>168.1</td>\n <td>286.0</td>\n <td>10750.4</td>\n <td>18163297253</td>\n <td>00:17:09</td>\n <td>00:17:09</td>\n <td>503</td>\n <td>2015-05-27 18:41:47</td>\n <td>1029</td>\n </tr>\n <tr>\n <th>585</th>\n <td>987</td>\n <td>Miles Butler</td>\n <td>2015-08-08</td>\n <td>37.8</td>\n <td>166</td>\n <td>313</td>\n <td>1</td>\n <td>17:09:00</td>\n <td>https://www.strava.com/athletes/493667</td>\n <td>https://www.strava.com/segment_efforts/1104982...</td>\n <td>...</td>\n <td>avatar/athlete/large.png</td>\n <td>165.6</td>\n <td>312.6</td>\n <td>10801.9</td>\n <td>11049822145</td>\n <td>00:17:09</td>\n <td>00:17:09</td>\n <td>503</td>\n <td>2015-08-08 07:20:43</td>\n <td>1029</td>\n </tr>\n <tr>\n <th>586</th>\n <td>987</td>\n <td>Andrew Clavell</td>\n <td>2015-09-11</td>\n <td>37.8</td>\n <td>152</td>\n <td>274</td>\n <td>1</td>\n <td>17:09:00</td>\n <td>https://www.strava.com/athletes/88687</td>\n <td>https://www.strava.com/segment_efforts/9329804872</td>\n <td>...</td>\n <td>https://dgalywyr863hv.cloudfront.net/pictures/...</td>\n <td>152.2</td>\n <td>274.2</td>\n <td>10831.6</td>\n <td>9329804872</td>\n <td>00:17:09</td>\n <td>00:17:09</td>\n <td>503</td>\n <td>2015-09-11 10:54:58</td>\n <td>1029</td>\n </tr>\n <tr>\n <th>587</th>\n <td>987</td>\n <td>James Graham</td>\n <td>2016-05-11</td>\n <td>37.8</td>\n <td>-</td>\n <td>265</td>\n <td>1</td>\n <td>17:09:00</td>\n <td>https://www.strava.com/athletes/516214</td>\n <td>https://www.strava.com/segment_efforts/1389802...</td>\n <td>...</td>\n <td>https://dgalywyr863hv.cloudfront.net/pictures/...</td>\n <td>NaN</td>\n <td>265.4</td>\n <td>10805.7</td>\n <td>13898025495</td>\n <td>00:17:09</td>\n <td>00:17:09</td>\n <td>503</td>\n <td>2016-05-11 20:16:02</td>\n <td>1029</td>\n </tr>\n <tr>\n <th>588</th>\n <td>987</td>\n <td>Tom Gilbey</td>\n <td>2016-05-14</td>\n <td>37.8</td>\n <td>-</td>\n <td>235</td>\n <td>1</td>\n <td>17:09:00</td>\n <td>https://www.strava.com/athletes/59338</td>\n <td>https://www.strava.com/segment_efforts/1397636...</td>\n <td>...</td>\n <td>avatar/athlete/large.png</td>\n <td>NaN</td>\n <td>235.0</td>\n <td>10756.1</td>\n <td>13976365940</td>\n <td>00:17:09</td>\n <td>00:17:09</td>\n <td>503</td>\n <td>2016-05-14 08:21:28</td>\n <td>1029</td>\n </tr>\n </tbody>\n</table>\n<p>10 rows × 38 columns</p>\n</div>",
"text/plain": " Rank Name Date Speed HR Power Powermeter \\\n154 190 Damien Clayton 2017-08-09 41.3 176 385 1 \n253 345 Pete Hair 2017-07-04 40.1 - 270 1 \n512 826 Phillip Killicoat 2017-06-24 38.2 158 288 1 \n582 987 Chris Beard 2011-05-04 37.8 - - 0 \n583 987 Morgan Lloyd 2014-06-11 37.8 - 287 0 \n584 987 Filippo Sbalchiero 2015-05-27 37.8 168 286 0 \n585 987 Miles Butler 2015-08-08 37.8 166 313 1 \n586 987 Andrew Clavell 2015-09-11 37.8 152 274 1 \n587 987 James Graham 2016-05-11 37.8 - 265 1 \n588 987 Tom Gilbey 2016-05-14 37.8 - 235 1 \n\n Time http_athlete_id \\\n154 15:44:00 https://www.strava.com/athletes/16438175 \n253 16:11:00 https://www.strava.com/athletes/240724 \n512 16:59:00 https://www.strava.com/athletes/2624571 \n582 17:09:00 https://www.strava.com/athletes/105015 \n583 17:09:00 https://www.strava.com/athletes/1796143 \n584 17:09:00 https://www.strava.com/athletes/3851812 \n585 17:09:00 https://www.strava.com/athletes/493667 \n586 17:09:00 https://www.strava.com/athletes/88687 \n587 17:09:00 https://www.strava.com/athletes/516214 \n588 17:09:00 https://www.strava.com/athletes/59338 \n\n http_effort_id ... \\\n154 https://www.strava.com/segment_efforts/2770480... ... \n253 https://www.strava.com/segment_efforts/2624530... ... \n512 https://www.strava.com/segment_efforts/2584868... ... \n582 https://www.strava.com/segment_efforts/19863683 ... \n583 https://www.strava.com/segment_efforts/3509806553 ... \n584 https://www.strava.com/segment_efforts/1816329... ... \n585 https://www.strava.com/segment_efforts/1104982... ... \n586 https://www.strava.com/segment_efforts/9329804872 ... \n587 https://www.strava.com/segment_efforts/1389802... ... \n588 https://www.strava.com/segment_efforts/1397636... ... \n\n athlete_profile average_hr \\\n154 https://dgalywyr863hv.cloudfront.net/pictures/... NaN \n253 https://dgalywyr863hv.cloudfront.net/pictures/... NaN \n512 https://dgalywyr863hv.cloudfront.net/pictures/... 156.1 \n582 avatar/athlete/large.png NaN \n583 https://dgalywyr863hv.cloudfront.net/pictures/... NaN \n584 https://dgalywyr863hv.cloudfront.net/pictures/... 168.1 \n585 avatar/athlete/large.png 165.6 \n586 https://dgalywyr863hv.cloudfront.net/pictures/... 152.2 \n587 https://dgalywyr863hv.cloudfront.net/pictures/... NaN \n588 avatar/athlete/large.png NaN \n\n average_watts distance effort_id_2017 elapsed_time_2017 \\\n154 297.5 10744.9 18093920868 00:17:09 \n253 312.8 10793.9 17988998630 00:17:09 \n512 253.0 10776.8 21187962437 00:17:09 \n582 NaN 10783.0 19863683 00:17:09 \n583 287.1 10796.5 3509806553 00:17:09 \n584 286.0 10750.4 18163297253 00:17:09 \n585 312.6 10801.9 11049822145 00:17:09 \n586 274.2 10831.6 9329804872 00:17:09 \n587 265.4 10805.7 13898025495 00:17:09 \n588 235.0 10756.1 13976365940 00:17:09 \n\n moving_time_2017 rank start_date_local_2017 Seconds_2017 \n154 00:17:09 503 2016-10-08 09:09:22 1029 \n253 00:17:09 503 2016-10-03 18:45:19 1029 \n512 00:17:09 503 2017-02-18 10:01:59 1029 \n582 00:17:09 503 2011-05-04 17:22:59 1029 \n583 00:17:09 503 2014-06-11 19:23:10 1029 \n584 00:17:09 503 2015-05-27 18:41:47 1029 \n585 00:17:09 503 2015-08-08 07:20:43 1029 \n586 00:17:09 503 2015-09-11 10:54:58 1029 \n587 00:17:09 503 2016-05-11 20:16:02 1029 \n588 00:17:09 503 2016-05-14 08:21:28 1029 \n\n[10 rows x 38 columns]"
},
"execution_count": 174,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "The top 20 improved riders"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "LBComb[LBComb.start_date_local_2019>LBComb.start_date_local_2017][['Name','elapsed_time_2019','elapsed_time_2017','start_date_local_2019',\n 'start_date_local_2017','effort_id_2019','effort_id_2017', 'Seconds_2019', 'Seconds_2017']].sort_values('Seconds_2019').head(20)",
"execution_count": 154,
"outputs": [
{
"data": {
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Name</th>\n <th>elapsed_time_2019</th>\n <th>elapsed_time_2017</th>\n <th>start_date_local_2019</th>\n <th>start_date_local_2017</th>\n <th>effort_id_2019</th>\n <th>effort_id_2017</th>\n <th>Seconds_2019</th>\n <th>Seconds_2017</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>Nick Marriott - Onyx RT</td>\n <td>00:13:51</td>\n <td>00:16:41</td>\n <td>2018-07-25 06:02:33</td>\n <td>2015-06-16 06:51:42</td>\n <td>43253816662</td>\n <td>7724664879</td>\n <td>831</td>\n <td>1001</td>\n </tr>\n <tr>\n <th>1</th>\n <td>Piers Curle | Onyx RT</td>\n <td>00:13:51</td>\n <td>00:17:15</td>\n <td>2018-07-25 06:02:33</td>\n <td>2014-07-22 06:14:46</td>\n <td>43253903238</td>\n <td>3940874441</td>\n <td>831</td>\n <td>1035</td>\n </tr>\n <tr>\n <th>2</th>\n <td>Henry Brendon - Onyx</td>\n <td>00:13:51</td>\n <td>00:15:47</td>\n <td>2018-07-25 06:02:33</td>\n <td>2016-06-15 19:32:20</td>\n <td>43254254318</td>\n <td>14884563351</td>\n <td>831</td>\n <td>947</td>\n </tr>\n <tr>\n <th>3</th>\n <td>ben leach- Onyx RT</td>\n <td>00:13:56</td>\n <td>00:16:29</td>\n <td>2018-07-25 06:02:33</td>\n <td>2016-12-17 08:23:25</td>\n <td>43253447761</td>\n <td>19636620610</td>\n <td>836</td>\n <td>989</td>\n </tr>\n <tr>\n <th>9</th>\n <td>Todd Hooper | Onyx RT</td>\n <td>00:14:03</td>\n <td>00:16:32</td>\n <td>2018-07-25 06:02:35</td>\n <td>2016-09-21 06:04:41</td>\n <td>43254676876</td>\n <td>17658981696</td>\n <td>843</td>\n <td>992</td>\n </tr>\n <tr>\n <th>11</th>\n <td>Gavin Ryan</td>\n <td>00:14:20</td>\n <td>00:14:23</td>\n <td>2016-08-25 19:54:37</td>\n <td>2016-08-25 19:54:36</td>\n <td>36450361700</td>\n <td>16884149245</td>\n <td>860</td>\n <td>863</td>\n </tr>\n <tr>\n <th>12</th>\n <td>Arlen (RPR)</td>\n <td>00:14:22</td>\n <td>00:14:50</td>\n <td>2018-05-21 13:01:55</td>\n <td>2016-04-13 06:12:06</td>\n <td>39692662790</td>\n <td>13115733262</td>\n <td>862</td>\n <td>890</td>\n </tr>\n <tr>\n <th>13</th>\n <td>Patrick Brendon</td>\n <td>00:14:22</td>\n <td>00:15:48</td>\n <td>2018-07-25 06:02:34</td>\n <td>2016-08-12 07:13:44</td>\n <td>43254343912</td>\n <td>16486841744</td>\n <td>862</td>\n <td>948</td>\n </tr>\n <tr>\n <th>14</th>\n <td>Gareth Collins | Onyx RT</td>\n <td>00:14:22</td>\n <td>00:17:17</td>\n <td>2018-07-25 06:02:34</td>\n <td>2016-06-06 19:40:39</td>\n <td>44491832363</td>\n <td>14641531995</td>\n <td>862</td>\n <td>1037</td>\n </tr>\n <tr>\n <th>15</th>\n <td>Sam Christy</td>\n <td>00:14:24</td>\n <td>00:15:27</td>\n <td>2018-07-09 21:09:00</td>\n <td>2016-05-28 08:34:28</td>\n <td>42408049148</td>\n <td>14368100975</td>\n <td>864</td>\n <td>927</td>\n </tr>\n <tr>\n <th>16</th>\n <td>Simon Fieldhouse Onyx RT</td>\n <td>00:14:25</td>\n <td>00:17:02</td>\n <td>2017-07-13 05:58:10</td>\n <td>2014-07-22 05:53:39</td>\n <td>47000201346</td>\n <td>3941110940</td>\n <td>865</td>\n <td>1022</td>\n </tr>\n <tr>\n <th>18</th>\n <td>Thomas Whatley</td>\n <td>00:14:28</td>\n <td>00:15:16</td>\n <td>2017-06-20 20:53:25</td>\n <td>2016-06-06 20:08:28</td>\n <td>25725583678</td>\n <td>14642300150</td>\n <td>868</td>\n <td>916</td>\n </tr>\n <tr>\n <th>21</th>\n <td>David Hulsman</td>\n <td>00:14:31</td>\n <td>00:15:46</td>\n <td>2018-07-04 06:08:46</td>\n <td>2016-10-29 08:37:09</td>\n <td>42105259168</td>\n <td>18588921668</td>\n <td>871</td>\n <td>946</td>\n </tr>\n <tr>\n <th>22</th>\n <td>Jacob Hermann - Onyx RT</td>\n <td>00:14:32</td>\n <td>00:16:46</td>\n <td>2018-07-04 06:08:49</td>\n <td>2016-12-17 08:23:23</td>\n <td>42134709257</td>\n <td>19638311960</td>\n <td>872</td>\n <td>1006</td>\n </tr>\n <tr>\n <th>26</th>\n <td>Grant Fraser</td>\n <td>00:14:37</td>\n <td>00:17:35</td>\n <td>2017-07-18 06:11:14</td>\n <td>2016-07-25 19:39:45</td>\n <td>26806286127</td>\n <td>15987699645</td>\n <td>877</td>\n <td>1055</td>\n </tr>\n <tr>\n <th>24</th>\n <td>G O</td>\n <td>00:14:37</td>\n <td>00:16:16</td>\n <td>2017-07-18 06:11:12</td>\n <td>2016-09-13 06:42:03</td>\n <td>26806127361</td>\n <td>17438897574</td>\n <td>877</td>\n <td>976</td>\n </tr>\n <tr>\n <th>25</th>\n <td>Paul Moore</td>\n <td>00:14:37</td>\n <td>00:16:10</td>\n <td>2017-07-18 06:11:14</td>\n <td>2016-09-22 06:53:55</td>\n <td>26805349232</td>\n <td>17684342447</td>\n <td>877</td>\n <td>970</td>\n </tr>\n <tr>\n <th>28</th>\n <td>David Smith</td>\n <td>00:14:38</td>\n <td>00:16:28</td>\n <td>2017-07-18 06:11:12</td>\n <td>2016-08-11 06:55:33</td>\n <td>26805343425</td>\n <td>16459757160</td>\n <td>878</td>\n <td>988</td>\n </tr>\n <tr>\n <th>29</th>\n <td>Greg Wiltshire</td>\n <td>00:14:39</td>\n <td>00:16:29</td>\n <td>2017-07-18 06:11:11</td>\n <td>2014-06-12 19:31:23</td>\n <td>26839700088</td>\n <td>3519889670</td>\n <td>879</td>\n <td>989</td>\n </tr>\n <tr>\n <th>30</th>\n <td>Simon Mumme</td>\n <td>00:14:39</td>\n <td>00:16:51</td>\n <td>2017-07-18 06:11:13</td>\n <td>2016-07-26 06:05:01</td>\n <td>26805348381</td>\n <td>15998431970</td>\n <td>879</td>\n <td>1011</td>\n </tr>\n </tbody>\n</table>\n</div>",
"text/plain": " Name elapsed_time_2019 elapsed_time_2017 \\\n0 Nick Marriott - Onyx RT 00:13:51 00:16:41 \n1 Piers Curle | Onyx RT 00:13:51 00:17:15 \n2 Henry Brendon - Onyx 00:13:51 00:15:47 \n3 ben leach- Onyx RT 00:13:56 00:16:29 \n9 Todd Hooper | Onyx RT 00:14:03 00:16:32 \n11 Gavin Ryan 00:14:20 00:14:23 \n12 Arlen (RPR) 00:14:22 00:14:50 \n13 Patrick Brendon 00:14:22 00:15:48 \n14 Gareth Collins | Onyx RT 00:14:22 00:17:17 \n15 Sam Christy 00:14:24 00:15:27 \n16 Simon Fieldhouse Onyx RT 00:14:25 00:17:02 \n18 Thomas Whatley 00:14:28 00:15:16 \n21 David Hulsman 00:14:31 00:15:46 \n22 Jacob Hermann - Onyx RT 00:14:32 00:16:46 \n26 Grant Fraser 00:14:37 00:17:35 \n24 G O 00:14:37 00:16:16 \n25 Paul Moore 00:14:37 00:16:10 \n28 David Smith 00:14:38 00:16:28 \n29 Greg Wiltshire 00:14:39 00:16:29 \n30 Simon Mumme 00:14:39 00:16:51 \n\n start_date_local_2019 start_date_local_2017 effort_id_2019 effort_id_2017 \\\n0 2018-07-25 06:02:33 2015-06-16 06:51:42 43253816662 7724664879 \n1 2018-07-25 06:02:33 2014-07-22 06:14:46 43253903238 3940874441 \n2 2018-07-25 06:02:33 2016-06-15 19:32:20 43254254318 14884563351 \n3 2018-07-25 06:02:33 2016-12-17 08:23:25 43253447761 19636620610 \n9 2018-07-25 06:02:35 2016-09-21 06:04:41 43254676876 17658981696 \n11 2016-08-25 19:54:37 2016-08-25 19:54:36 36450361700 16884149245 \n12 2018-05-21 13:01:55 2016-04-13 06:12:06 39692662790 13115733262 \n13 2018-07-25 06:02:34 2016-08-12 07:13:44 43254343912 16486841744 \n14 2018-07-25 06:02:34 2016-06-06 19:40:39 44491832363 14641531995 \n15 2018-07-09 21:09:00 2016-05-28 08:34:28 42408049148 14368100975 \n16 2017-07-13 05:58:10 2014-07-22 05:53:39 47000201346 3941110940 \n18 2017-06-20 20:53:25 2016-06-06 20:08:28 25725583678 14642300150 \n21 2018-07-04 06:08:46 2016-10-29 08:37:09 42105259168 18588921668 \n22 2018-07-04 06:08:49 2016-12-17 08:23:23 42134709257 19638311960 \n26 2017-07-18 06:11:14 2016-07-25 19:39:45 26806286127 15987699645 \n24 2017-07-18 06:11:12 2016-09-13 06:42:03 26806127361 17438897574 \n25 2017-07-18 06:11:14 2016-09-22 06:53:55 26805349232 17684342447 \n28 2017-07-18 06:11:12 2016-08-11 06:55:33 26805343425 16459757160 \n29 2017-07-18 06:11:11 2014-06-12 19:31:23 26839700088 3519889670 \n30 2017-07-18 06:11:13 2016-07-26 06:05:01 26805348381 15998431970 \n\n Seconds_2019 Seconds_2017 \n0 831 1001 \n1 831 1035 \n2 831 947 \n3 836 989 \n9 843 992 \n11 860 863 \n12 862 890 \n13 862 948 \n14 862 1037 \n15 864 927 \n16 865 1022 \n18 868 916 \n21 871 946 \n22 872 1006 \n26 877 1055 \n24 877 976 \n25 877 970 \n28 878 988 \n29 879 989 \n30 879 1011 "
},
"execution_count": 154,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"scrolled": false,
"trusted": true
},
"cell_type": "code",
"source": "LBComb[['Seconds_2017','Seconds_2019']].T.plot(marker='o',legend=False,alpha=0.5, figsize=(4,12));",
"execution_count": 153,
"outputs": [
{
"data": {
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\n",
"text/plain": "<Figure size 288x864 with 1 Axes>"
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Weather conditions for current leader\nConditions were not ideal. Warmer would have been faster, but more importantly the wind was light and adverse."
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "import HistoricWeather\nt=LB2019.start_date_local.loc[1]\nlat, lon = geo.latitude.mean(), geo.longitude.mean()\nweather = HistoricWeather.weatherObs(t.day, t.month, t.year, \n t.hour, t.minute, t.second, \n lat=lat, lon=lon)\nweather",
"execution_count": 165,
"outputs": [
{
"data": {
"text/plain": "Pressure 1017.0\nHumidity 71.0\nTemp 23.0\nWindDirn 345.0\nWind 4.0\nName: 2018-07-25 06:02:33, dtype: float64"
},
"execution_count": 165,
"metadata": {},
"output_type": "execute_result"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
}
],
"metadata": {
"kernelspec": {
"name": "python3",
"display_name": "Python 3",
"language": "python"
},
"language_info": {
"name": "python",
"version": "3.7.2",
"mimetype": "text/x-python",
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"pygments_lexer": "ipython3",
"nbconvert_exporter": "python",
"file_extension": ".py"
},
"gist": {
"id": "",
"data": {
"description": "Strava/Strava Leaderboard - Richmond Park KOM update.ipynb",
"public": true
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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