{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Accessing historical data from running race results\n", "\n", "\n", "One of the great features in Runpandas is the capability of accessing race's result datasets accross several races around the world, from majors to local ones (if it's available at our data repository). In this example, we will explore the results of a famous Major marathon, the 2022 Berlin Marathon and analyze the performance of the WR marathon record from Eliud Kipchoge.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exploring the results and highlights from the 2022 Berlin Marathon\n", "\n", "More than 30,000 people took the starting line for the 2022 Berlin Marathon, on 25 September 2022. An Elite Platinum Label Marathon, and one of the World marathon Majors. The race is quite famous for its fast and flat course, making it perfect for a record-setting day.\n", "\n", "But this particular race also came with special flavours, with the participation of the top runners Eliud Kipchoge in the men's pro race and American record holder Keira D'Amato in the women's race.\n", "\n", "In this notebook we will explore the results and highlights from the 2022 Berlin Marathon using runpandas methods specially tailored for handling race results data." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Race Overview\n", "\n", "First, let's load the Berlin Marathon data by using the runpandas method ``runpandas.get_events``. This function provides a way of accessing the race data and visualize the results from several marathons available at our datasets repository. Given the year and the marathon identifier you can filter any marathon datasets that you want analyze. The result will be a list of ``runpandas.EventData`` instances with race result and its metadata. Let's look for Berlin Marathon results.\n", "\n" ] }, { "cell_type": "code", "execution_count": 194, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import runpandas as rpd\n", "import warnings\n", "warnings.filterwarnings('ignore')" ] }, { "cell_type": "code", "execution_count": 195, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 195, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results = rpd.get_events('Berlin')\n", "results" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The result comes with the Berlin Marathon Result from 2022. Let's take a look inside the race event, which comes with a handful method to describe its attributes and a special method to load the race result data into a `runpandas.datasets.schema.RaceData` instance." ] }, { "cell_type": "code", "execution_count": 196, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Event type RunTypeEnum.MARATHON\n", "Country DE\n", "Year 2022\n", "Name Berlin Marathon Results from 2022.\n", "\n" ] } ], "source": [ "berlin_result = results[0]\n", "print('Event type', berlin_result.run_type)\n", "print('Country', berlin_result.country)\n", "print('Year', berlin_result.edition)\n", "print('Name', berlin_result.summary)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now that we confirmed that we requested the corresponding marathon dataset. We will load it into a DataFrame so we can further explore it." ] }, { "cell_type": "code", "execution_count": 197, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
positionposition_gendercountrysexdivisionbibfirstnamelastnameclubstarttime...10k15k20k25k30k35k40kgrosstimenettimecategory
011KENM11EliudKipchoge–09:15:00...0 days 00:28:230 days 00:42:330 days 00:56:450 days 01:11:080 days 01:25:400 days 01:40:100 days 01:54:530 days 02:01:090 days 02:01:09M35
122KENM15MarkKorir–09:15:00...0 days 00:28:560 days 00:43:350 days 00:58:140 days 01:13:070 days 01:28:060 days 01:43:250 days 01:59:050 days 02:05:580 days 02:05:58M30
233ETHM18TaduAbate–09:15:00...0 days 00:29:460 days 00:44:400 days 00:59:400 days 01:14:440 days 01:30:010 days 01:44:550 days 02:00:030 days 02:06:280 days 02:06:28MH
344ETHM226AndamlakBelihu–09:15:00...0 days 00:28:230 days 00:42:330 days 00:56:450 days 01:11:090 days 01:26:110 days 01:42:140 days 01:59:140 days 02:06:400 days 02:06:40MH
455KENM325AbelKipchumba–09:15:00...0 days 00:28:550 days 00:43:350 days 00:58:140 days 01:13:070 days 01:28:030 days 01:43:080 days 01:59:140 days 02:06:490 days 02:06:49MH
..................................................................
35566DNF–USAM–65079michaelperkowski––...NaTNaTNaTNaTNaTNaTNaTNaTNaTM65
35567DNF–USAM–62027KarlMann––...NaTNaTNaTNaTNaTNaTNaTNaTNaTM55
35568DNF–THAF–27196oraluckpichaiwongseSTATE to BERLIN 2022–...NaTNaTNaTNaTNaTNaTNaTNaTNaTW55
35569DNF–SUIM–56544GerardoGARCIA CALZADA––...NaTNaTNaTNaTNaTNaTNaTNaTNaTM50
35570DNF–AUTM–63348HaraldMoriAlbatros–...NaTNaTNaTNaTNaTNaTNaTNaTNaTM60
\n", "

35571 rows × 23 columns

\n", "
" ], "text/plain": [ " position position_gender country sex division bib firstname \\\n", "0 1 1 KEN M 1 1 Eliud \n", "1 2 2 KEN M 1 5 Mark \n", "2 3 3 ETH M 1 8 Tadu \n", "3 4 4 ETH M 2 26 Andamlak \n", "4 5 5 KEN M 3 25 Abel \n", "... ... ... ... .. ... ... ... \n", "35566 DNF – USA M – 65079 michael \n", "35567 DNF – USA M – 62027 Karl \n", "35568 DNF – THA F – 27196 oraluck \n", "35569 DNF – SUI M – 56544 Gerardo \n", "35570 DNF – AUT M – 63348 Harald \n", "\n", " lastname club starttime ... 10k \\\n", "0 Kipchoge – 09:15:00 ... 0 days 00:28:23 \n", "1 Korir – 09:15:00 ... 0 days 00:28:56 \n", "2 Abate – 09:15:00 ... 0 days 00:29:46 \n", "3 Belihu – 09:15:00 ... 0 days 00:28:23 \n", "4 Kipchumba – 09:15:00 ... 0 days 00:28:55 \n", "... ... ... ... ... ... \n", "35566 perkowski – – ... NaT \n", "35567 Mann – – ... NaT \n", "35568 pichaiwongse STATE to BERLIN 2022 – ... NaT \n", "35569 GARCIA CALZADA – – ... NaT \n", "35570 Mori Albatros – ... NaT \n", "\n", " 15k 20k 25k 30k \\\n", "0 0 days 00:42:33 0 days 00:56:45 0 days 01:11:08 0 days 01:25:40 \n", "1 0 days 00:43:35 0 days 00:58:14 0 days 01:13:07 0 days 01:28:06 \n", "2 0 days 00:44:40 0 days 00:59:40 0 days 01:14:44 0 days 01:30:01 \n", "3 0 days 00:42:33 0 days 00:56:45 0 days 01:11:09 0 days 01:26:11 \n", "4 0 days 00:43:35 0 days 00:58:14 0 days 01:13:07 0 days 01:28:03 \n", "... ... ... ... ... \n", "35566 NaT NaT NaT NaT \n", "35567 NaT NaT NaT NaT \n", "35568 NaT NaT NaT NaT \n", "35569 NaT NaT NaT NaT \n", "35570 NaT NaT NaT NaT \n", "\n", " 35k 40k grosstime nettime category \n", "0 0 days 01:40:10 0 days 01:54:53 0 days 02:01:09 0 days 02:01:09 M35 \n", "1 0 days 01:43:25 0 days 01:59:05 0 days 02:05:58 0 days 02:05:58 M30 \n", "2 0 days 01:44:55 0 days 02:00:03 0 days 02:06:28 0 days 02:06:28 MH \n", "3 0 days 01:42:14 0 days 01:59:14 0 days 02:06:40 0 days 02:06:40 MH \n", "4 0 days 01:43:08 0 days 01:59:14 0 days 02:06:49 0 days 02:06:49 MH \n", "... ... ... ... ... ... \n", "35566 NaT NaT NaT NaT M65 \n", "35567 NaT NaT NaT NaT M55 \n", "35568 NaT NaT NaT NaT W55 \n", "35569 NaT NaT NaT NaT M50 \n", "35570 NaT NaT NaT NaT M60 \n", "\n", "[35571 rows x 23 columns]" ] }, "execution_count": 197, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#loading the race data into a RaceData Dataframe\n", "race_result = berlin_result.load()\n", "race_result" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now you can get some insights about the Berlin Marathon 2022, by using its tailored methods for getting basic and quick insights. For example, the number of finishers, number of participants and the winner info." ] }, { "cell_type": "code", "execution_count": 198, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total participants 35571\n", "Total finishers 34844\n", "Total Non-Finishers 727\n" ] } ], "source": [ "print('Total participants', race_result.total_participants)\n", "print('Total finishers', race_result.total_finishers)\n", "print('Total Non-Finishers', race_result.total_nonfinishers)" ] }, { "cell_type": "code", "execution_count": 199, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "position 1\n", "position_gender 1\n", "country KEN\n", "sex M\n", "division 1\n", "bib 1\n", "firstname Eliud\n", "lastname Kipchoge\n", "club –\n", "starttime 09:15:00\n", "start_raw_time 09:15:00\n", "half 0 days 00:59:51\n", "5k 0 days 00:14:14\n", "10k 0 days 00:28:23\n", "15k 0 days 00:42:33\n", "20k 0 days 00:56:45\n", "25k 0 days 01:11:08\n", "30k 0 days 01:25:40\n", "35k 0 days 01:40:10\n", "40k 0 days 01:54:53\n", "grosstime 0 days 02:01:09\n", "nettime 0 days 02:01:09\n", "category M35\n", "Name: 0, dtype: object" ] }, "execution_count": 199, "metadata": {}, "output_type": "execute_result" } ], "source": [ "race_result.winner" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Eliud Kipchoge of Kenya won the 2022 Berlin Marathon in 2:01:09. Kipchoge’s victory was his fourth in Berlin and 17th overall in a career of 19 marathon starts. And who was the women's race winner?\n" ] }, { "cell_type": "code", "execution_count": 200, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
32
position33
position_gender1
countryETH
sexF
division1
bibF24
firstnameTigist
lastnameAssefa
club–
starttime09:15:00
start_raw_time09:15:00
half0 days 01:08:13
5k0 days 00:16:22
10k0 days 00:32:36
15k0 days 00:48:44
20k0 days 01:04:43
25k0 days 01:20:48
30k0 days 01:36:41
35k0 days 01:52:27
40k0 days 02:08:42
grosstime0 days 02:15:37
nettime0 days 02:15:37
categoryWH
\n", "
" ], "text/plain": [ " 32\n", "position 33\n", "position_gender 1\n", "country ETH\n", "sex F\n", "division 1\n", "bib F24\n", "firstname Tigist\n", "lastname Assefa\n", "club –\n", "starttime 09:15:00\n", "start_raw_time 09:15:00\n", "half 0 days 01:08:13\n", "5k 0 days 00:16:22\n", "10k 0 days 00:32:36\n", "15k 0 days 00:48:44\n", "20k 0 days 01:04:43\n", "25k 0 days 01:20:48\n", "30k 0 days 01:36:41\n", "35k 0 days 01:52:27\n", "40k 0 days 02:08:42\n", "grosstime 0 days 02:15:37\n", "nettime 0 days 02:15:37\n", "category WH" ] }, "execution_count": 200, "metadata": {}, "output_type": "execute_result" } ], "source": [ "race_result[(race_result['position_gender'] == 1) & (race_result['sex'] == 'F')].T" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Tigist Assefa of Ethiopia won the women’s race in a stunning time of 2:15:37 to set a new course record in Berlin. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Runpandas also provides a race's summary method for showing the compilation of some general insights such as finishers, partipants (by gender and overall)." ] }, { "cell_type": "code", "execution_count": 201, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Event name berlin marathon\n", "Event type 42k\n", "Event country DE\n", "Event date 25-09-2022\n", "Number of participants 35571\n", "Number of finishers 34844\n", "Number of non-finishers 727\n", "Number of male finishers 23314\n", "Number of female finishers 11523\n", "Winner Nettime 0 days 02:01:09\n", "dtype: object" ] }, "execution_count": 201, "metadata": {}, "output_type": "execute_result" } ], "source": [ "race_result.summary()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Final Results - The podium finishers\n", "\n", "\n", "Now that we have access to all finishers data, we would like to see the podium (top 10) finishers for the men and women's race. For anwesring this question, we will use Matplotlib, a Python library for creating from basic to advanced plots. Let's plot the final race time results for men and women." ] }, { "cell_type": "code", "execution_count": 202, "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First, let's pick only the array of the top 10 finishers for men and women." ] }, { "cell_type": "code", "execution_count": 203, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
positionposition_gendercountrysexdivisionbibfirstnamelastnameclubstarttime...10k15k20k25k30k35k40kgrosstimenettimecategory
011KENM11EliudKipchoge–09:15:00...0 days 00:28:230 days 00:42:330 days 00:56:450 days 01:11:080 days 01:25:400 days 01:40:100 days 01:54:530 days 02:01:090 days 02:01:09M35
122KENM15MarkKorir–09:15:00...0 days 00:28:560 days 00:43:350 days 00:58:140 days 01:13:070 days 01:28:060 days 01:43:250 days 01:59:050 days 02:05:580 days 02:05:58M30
233ETHM18TaduAbate–09:15:00...0 days 00:29:460 days 00:44:400 days 00:59:400 days 01:14:440 days 01:30:010 days 01:44:550 days 02:00:030 days 02:06:280 days 02:06:28MH
344ETHM226AndamlakBelihu–09:15:00...0 days 00:28:230 days 00:42:330 days 00:56:450 days 01:11:090 days 01:26:110 days 01:42:140 days 01:59:140 days 02:06:400 days 02:06:40MH
455KENM325AbelKipchumba–09:15:00...0 days 00:28:550 days 00:43:350 days 00:58:140 days 01:13:070 days 01:28:030 days 01:43:080 days 01:59:140 days 02:06:490 days 02:06:49MH
566ETHM212LimenihGetachew–09:15:00...0 days 00:29:460 days 00:44:400 days 00:59:420 days 01:14:450 days 01:30:000 days 01:45:060 days 02:00:220 days 02:07:070 days 02:07:07M30
677JPNM415KenyaSonotaJR East Railway09:15:00...0 days 00:29:460 days 00:44:380 days 00:59:390 days 01:14:450 days 01:30:010 days 01:45:060 days 02:00:300 days 02:07:140 days 02:07:14MH
788JPNM524TatsuyaMaruyamaToyota09:15:00...0 days 00:30:100 days 00:45:280 days 01:00:470 days 01:15:460 days 01:30:430 days 01:45:530 days 02:01:170 days 02:07:500 days 02:07:50MH
899JPNM616KentoKikutaniToyota Boshoku09:15:00...0 days 00:29:470 days 00:44:390 days 00:59:400 days 01:14:450 days 01:30:020 days 01:45:190 days 02:01:100 days 02:07:560 days 02:07:56MH
91010KENM314ZablonChumba–09:15:00...0 days 00:29:450 days 00:44:380 days 00:59:390 days 01:14:450 days 01:30:000 days 01:45:050 days 02:00:490 days 02:08:010 days 02:08:01M30
\n", "

10 rows × 23 columns

\n", "
" ], "text/plain": [ " position position_gender country sex division bib firstname lastname \\\n", "0 1 1 KEN M 1 1 Eliud Kipchoge \n", "1 2 2 KEN M 1 5 Mark Korir \n", "2 3 3 ETH M 1 8 Tadu Abate \n", "3 4 4 ETH M 2 26 Andamlak Belihu \n", "4 5 5 KEN M 3 25 Abel Kipchumba \n", "5 6 6 ETH M 2 12 Limenih Getachew \n", "6 7 7 JPN M 4 15 Kenya Sonota \n", "7 8 8 JPN M 5 24 Tatsuya Maruyama \n", "8 9 9 JPN M 6 16 Kento Kikutani \n", "9 10 10 KEN M 3 14 Zablon Chumba \n", "\n", " club starttime ... 10k 15k \\\n", "0 – 09:15:00 ... 0 days 00:28:23 0 days 00:42:33 \n", "1 – 09:15:00 ... 0 days 00:28:56 0 days 00:43:35 \n", "2 – 09:15:00 ... 0 days 00:29:46 0 days 00:44:40 \n", "3 – 09:15:00 ... 0 days 00:28:23 0 days 00:42:33 \n", "4 – 09:15:00 ... 0 days 00:28:55 0 days 00:43:35 \n", "5 – 09:15:00 ... 0 days 00:29:46 0 days 00:44:40 \n", "6 JR East Railway 09:15:00 ... 0 days 00:29:46 0 days 00:44:38 \n", "7 Toyota 09:15:00 ... 0 days 00:30:10 0 days 00:45:28 \n", "8 Toyota Boshoku 09:15:00 ... 0 days 00:29:47 0 days 00:44:39 \n", "9 – 09:15:00 ... 0 days 00:29:45 0 days 00:44:38 \n", "\n", " 20k 25k 30k 35k \\\n", "0 0 days 00:56:45 0 days 01:11:08 0 days 01:25:40 0 days 01:40:10 \n", "1 0 days 00:58:14 0 days 01:13:07 0 days 01:28:06 0 days 01:43:25 \n", "2 0 days 00:59:40 0 days 01:14:44 0 days 01:30:01 0 days 01:44:55 \n", "3 0 days 00:56:45 0 days 01:11:09 0 days 01:26:11 0 days 01:42:14 \n", "4 0 days 00:58:14 0 days 01:13:07 0 days 01:28:03 0 days 01:43:08 \n", "5 0 days 00:59:42 0 days 01:14:45 0 days 01:30:00 0 days 01:45:06 \n", "6 0 days 00:59:39 0 days 01:14:45 0 days 01:30:01 0 days 01:45:06 \n", "7 0 days 01:00:47 0 days 01:15:46 0 days 01:30:43 0 days 01:45:53 \n", "8 0 days 00:59:40 0 days 01:14:45 0 days 01:30:02 0 days 01:45:19 \n", "9 0 days 00:59:39 0 days 01:14:45 0 days 01:30:00 0 days 01:45:05 \n", "\n", " 40k grosstime nettime category \n", "0 0 days 01:54:53 0 days 02:01:09 0 days 02:01:09 M35 \n", "1 0 days 01:59:05 0 days 02:05:58 0 days 02:05:58 M30 \n", "2 0 days 02:00:03 0 days 02:06:28 0 days 02:06:28 MH \n", "3 0 days 01:59:14 0 days 02:06:40 0 days 02:06:40 MH \n", "4 0 days 01:59:14 0 days 02:06:49 0 days 02:06:49 MH \n", "5 0 days 02:00:22 0 days 02:07:07 0 days 02:07:07 M30 \n", "6 0 days 02:00:30 0 days 02:07:14 0 days 02:07:14 MH \n", "7 0 days 02:01:17 0 days 02:07:50 0 days 02:07:50 MH \n", "8 0 days 02:01:10 0 days 02:07:56 0 days 02:07:56 MH \n", "9 0 days 02:00:49 0 days 02:08:01 0 days 02:08:01 M30 \n", "\n", "[10 rows x 23 columns]" ] }, "execution_count": 203, "metadata": {}, "output_type": "execute_result" } ], "source": [ "man_top_10 = race_result[(race_result['position_gender'].isin([1,2,3,4,5,6,7,8,9,10])) & (race_result['sex'] == 'M')]\n", "man_top_10" ] }, { "cell_type": "code", "execution_count": 204, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
positionposition_gendercountrysexdivisionbibfirstnamelastnameclubstarttime...10k15k20k25k30k35k40kgrosstimenettimecategory
32331ETHF1F24TigistAssefa–09:15:00...0 days 00:32:360 days 00:48:440 days 01:04:430 days 01:20:480 days 01:36:410 days 01:52:270 days 02:08:420 days 02:15:370 days 02:15:37WH
43442KENF2F25RosemaryWanjiru–09:15:00...0 days 00:32:380 days 00:48:470 days 01:04:470 days 01:20:540 days 01:36:570 days 01:53:160 days 02:10:100 days 02:18:000 days 02:18:00WH
44453ETHF3F8TigistAbayechew–09:15:00...0 days 00:32:380 days 00:48:460 days 01:04:440 days 01:20:490 days 01:36:410 days 01:52:460 days 02:10:150 days 02:18:030 days 02:18:03WH
48494ETHF1F5WorkeneshEdesa–09:15:00...0 days 00:32:370 days 00:48:440 days 01:04:440 days 01:20:480 days 01:37:010 days 01:53:570 days 02:11:150 days 02:18:510 days 02:18:51W30
57585ETHF4F6Sisay MeseretGola–09:15:00...0 days 00:32:370 days 00:48:440 days 01:04:430 days 01:20:490 days 01:36:420 days 01:53:300 days 02:12:290 days 02:20:580 days 02:20:58WH
60616USAF1F2KeiraD'Amato–09:15:00...0 days 00:32:430 days 00:49:110 days 01:05:500 days 01:22:360 days 01:39:350 days 01:57:060 days 02:14:280 days 02:21:480 days 02:21:48W35
64657JPNF5F18RikaKasedaDaihatsu09:15:00...0 days 00:33:300 days 00:50:110 days 01:06:560 days 01:23:410 days 01:40:290 days 01:57:270 days 02:14:270 days 02:21:550 days 02:21:55WH
65668JPNF2F19AyukoSuzukiJapan Post Group09:15:00...0 days 00:33:300 days 00:50:100 days 01:06:550 days 01:23:410 days 01:40:300 days 01:57:270 days 02:14:340 days 02:22:020 days 02:22:02W30
66679JPNF6F10SayakaSatoSekisui Chemical09:15:00...0 days 00:33:170 days 00:50:030 days 01:06:430 days 01:23:290 days 01:40:300 days 01:57:280 days 02:14:480 days 02:22:130 days 02:22:13WH
686910KENF7F7VibianChepkirui–09:15:00...0 days 00:32:360 days 00:48:440 days 01:04:430 days 01:20:480 days 01:36:580 days 01:54:120 days 02:13:380 days 02:22:210 days 02:22:21WH
\n", "

10 rows × 23 columns

\n", "
" ], "text/plain": [ " position position_gender country sex division bib firstname \\\n", "32 33 1 ETH F 1 F24 Tigist \n", "43 44 2 KEN F 2 F25 Rosemary \n", "44 45 3 ETH F 3 F8 Tigist \n", "48 49 4 ETH F 1 F5 Workenesh \n", "57 58 5 ETH F 4 F6 Sisay Meseret \n", "60 61 6 USA F 1 F2 Keira \n", "64 65 7 JPN F 5 F18 Rika \n", "65 66 8 JPN F 2 F19 Ayuko \n", "66 67 9 JPN F 6 F10 Sayaka \n", "68 69 10 KEN F 7 F7 Vibian \n", "\n", " lastname club starttime ... 10k \\\n", "32 Assefa – 09:15:00 ... 0 days 00:32:36 \n", "43 Wanjiru – 09:15:00 ... 0 days 00:32:38 \n", "44 Abayechew – 09:15:00 ... 0 days 00:32:38 \n", "48 Edesa – 09:15:00 ... 0 days 00:32:37 \n", "57 Gola – 09:15:00 ... 0 days 00:32:37 \n", "60 D'Amato – 09:15:00 ... 0 days 00:32:43 \n", "64 Kaseda Daihatsu 09:15:00 ... 0 days 00:33:30 \n", "65 Suzuki Japan Post Group 09:15:00 ... 0 days 00:33:30 \n", "66 Sato Sekisui Chemical 09:15:00 ... 0 days 00:33:17 \n", "68 Chepkirui – 09:15:00 ... 0 days 00:32:36 \n", "\n", " 15k 20k 25k 30k \\\n", "32 0 days 00:48:44 0 days 01:04:43 0 days 01:20:48 0 days 01:36:41 \n", "43 0 days 00:48:47 0 days 01:04:47 0 days 01:20:54 0 days 01:36:57 \n", "44 0 days 00:48:46 0 days 01:04:44 0 days 01:20:49 0 days 01:36:41 \n", "48 0 days 00:48:44 0 days 01:04:44 0 days 01:20:48 0 days 01:37:01 \n", "57 0 days 00:48:44 0 days 01:04:43 0 days 01:20:49 0 days 01:36:42 \n", "60 0 days 00:49:11 0 days 01:05:50 0 days 01:22:36 0 days 01:39:35 \n", "64 0 days 00:50:11 0 days 01:06:56 0 days 01:23:41 0 days 01:40:29 \n", "65 0 days 00:50:10 0 days 01:06:55 0 days 01:23:41 0 days 01:40:30 \n", "66 0 days 00:50:03 0 days 01:06:43 0 days 01:23:29 0 days 01:40:30 \n", "68 0 days 00:48:44 0 days 01:04:43 0 days 01:20:48 0 days 01:36:58 \n", "\n", " 35k 40k grosstime nettime category \n", "32 0 days 01:52:27 0 days 02:08:42 0 days 02:15:37 0 days 02:15:37 WH \n", "43 0 days 01:53:16 0 days 02:10:10 0 days 02:18:00 0 days 02:18:00 WH \n", "44 0 days 01:52:46 0 days 02:10:15 0 days 02:18:03 0 days 02:18:03 WH \n", "48 0 days 01:53:57 0 days 02:11:15 0 days 02:18:51 0 days 02:18:51 W30 \n", "57 0 days 01:53:30 0 days 02:12:29 0 days 02:20:58 0 days 02:20:58 WH \n", "60 0 days 01:57:06 0 days 02:14:28 0 days 02:21:48 0 days 02:21:48 W35 \n", "64 0 days 01:57:27 0 days 02:14:27 0 days 02:21:55 0 days 02:21:55 WH \n", "65 0 days 01:57:27 0 days 02:14:34 0 days 02:22:02 0 days 02:22:02 W30 \n", "66 0 days 01:57:28 0 days 02:14:48 0 days 02:22:13 0 days 02:22:13 WH \n", "68 0 days 01:54:12 0 days 02:13:38 0 days 02:22:21 0 days 02:22:21 WH \n", "\n", "[10 rows x 23 columns]" ] }, "execution_count": 204, "metadata": {}, "output_type": "execute_result" } ], "source": [ "female_top_10 = race_result[(race_result['position_gender'].isin([1,2,3,4,5,6,7,8,9,10])) & (race_result['sex'] == 'F')]\n", "female_top_10" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, let's filter only the columns we want to use for the plotting such as the runner's name and the finish time." ] }, { "cell_type": "code", "execution_count": 205, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
firstnamelastnamenettimefullname
0EliudKipchoge0 days 02:01:09Eliud Kipchoge
1MarkKorir0 days 02:05:58Mark Korir
2TaduAbate0 days 02:06:28Tadu Abate
3AndamlakBelihu0 days 02:06:40Andamlak Belihu
4AbelKipchumba0 days 02:06:49Abel Kipchumba
5LimenihGetachew0 days 02:07:07Limenih Getachew
6KenyaSonota0 days 02:07:14Kenya Sonota
7TatsuyaMaruyama0 days 02:07:50Tatsuya Maruyama
8KentoKikutani0 days 02:07:56Kento Kikutani
9ZablonChumba0 days 02:08:01Zablon Chumba
\n", "
" ], "text/plain": [ " firstname lastname nettime fullname\n", "0 Eliud Kipchoge 0 days 02:01:09 Eliud Kipchoge\n", "1 Mark Korir 0 days 02:05:58 Mark Korir\n", "2 Tadu Abate 0 days 02:06:28 Tadu Abate\n", "3 Andamlak Belihu 0 days 02:06:40 Andamlak Belihu\n", "4 Abel Kipchumba 0 days 02:06:49 Abel Kipchumba\n", "5 Limenih Getachew 0 days 02:07:07 Limenih Getachew\n", "6 Kenya Sonota 0 days 02:07:14 Kenya Sonota\n", "7 Tatsuya Maruyama 0 days 02:07:50 Tatsuya Maruyama\n", "8 Kento Kikutani 0 days 02:07:56 Kento Kikutani\n", "9 Zablon Chumba 0 days 02:08:01 Zablon Chumba" ] }, "execution_count": 205, "metadata": {}, "output_type": "execute_result" } ], "source": [ "male_top_10 = man_top_10[['firstname', 'lastname', 'nettime']]\n", "male_top_10['fullname'] = male_top_10['firstname'] + ' ' + male_top_10['lastname']\n", "male_top_10" ] }, { "cell_type": "code", "execution_count": 206, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
firstnamelastnamenettimefullname
32TigistAssefa0 days 02:15:37Tigist Assefa
43RosemaryWanjiru0 days 02:18:00Rosemary Wanjiru
44TigistAbayechew0 days 02:18:03Tigist Abayechew
48WorkeneshEdesa0 days 02:18:51Workenesh Edesa
57Sisay MeseretGola0 days 02:20:58Sisay Meseret Gola
60KeiraD'Amato0 days 02:21:48Keira D'Amato
64RikaKaseda0 days 02:21:55Rika Kaseda
65AyukoSuzuki0 days 02:22:02Ayuko Suzuki
66SayakaSato0 days 02:22:13Sayaka Sato
68VibianChepkirui0 days 02:22:21Vibian Chepkirui
\n", "
" ], "text/plain": [ " firstname lastname nettime fullname\n", "32 Tigist Assefa 0 days 02:15:37 Tigist Assefa\n", "43 Rosemary Wanjiru 0 days 02:18:00 Rosemary Wanjiru\n", "44 Tigist Abayechew 0 days 02:18:03 Tigist Abayechew\n", "48 Workenesh Edesa 0 days 02:18:51 Workenesh Edesa\n", "57 Sisay Meseret Gola 0 days 02:20:58 Sisay Meseret Gola\n", "60 Keira D'Amato 0 days 02:21:48 Keira D'Amato\n", "64 Rika Kaseda 0 days 02:21:55 Rika Kaseda\n", "65 Ayuko Suzuki 0 days 02:22:02 Ayuko Suzuki\n", "66 Sayaka Sato 0 days 02:22:13 Sayaka Sato\n", "68 Vibian Chepkirui 0 days 02:22:21 Vibian Chepkirui" ] }, "execution_count": 206, "metadata": {}, "output_type": "execute_result" } ], "source": [ "females_top_10 = female_top_10[['firstname', 'lastname', 'nettime']]\n", "females_top_10['fullname'] = females_top_10['firstname'] + ' ' + females_top_10['lastname']\n", "females_top_10" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, we can plot all the data and see the berlin men's marathon results with visualization of the finishing times.\n", "\n" ] }, { "cell_type": "code", "execution_count": 207, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib\n", "import datetime\n", "\n", "\n", "def timeTicks(x, pos):\n", " seconds = x / 10**9\n", " d = datetime.timedelta(seconds=seconds)\n", " return str(d)\n", "\n", "fig, ax = plt.subplots()\n", "fig.set_figheight(10)\n", "fig.set_figwidth(15)\n", "ax.barh(male_top_10['fullname'], male_top_10['nettime'],\n", " edgecolor='grey')\n", "ax.set_yticks(male_top_10['fullname']) \n", "ax.set_yticklabels(male_top_10['fullname'])\n", "\n", "formatter = matplotlib.ticker.FuncFormatter(timeTicks)\n", "ax.xaxis.set_major_formatter(formatter)\n", "\n", "\n", "# show fastest at the top\n", "ax.invert_yaxis()\n", "\n", "# draw vertical lines behind the bars\n", "ax.set_axisbelow(True)\n", "ax.xaxis.grid(True, which='major', linestyle='--', color='black', zorder=-1000)\n", "\n", "\n", "plt.suptitle(f\"Berlin Marathon 2022\\n\" f\"Winner finish time: {male_top_10.iloc[0]['nettime']} ({male_top_10.iloc[0]['fullname']})\")\n", "\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 208, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "fig.set_figheight(10)\n", "fig.set_figwidth(15)\n", "ax.barh(females_top_10['fullname'], females_top_10['nettime'],\n", " edgecolor='grey')\n", "ax.set_yticks(females_top_10['fullname']) \n", "ax.set_yticklabels(females_top_10['fullname'])\n", "\n", "formatter = matplotlib.ticker.FuncFormatter(timeTicks)\n", "ax.xaxis.set_major_formatter(formatter)\n", "\n", "\n", "# show fastest at the top\n", "ax.invert_yaxis()\n", "\n", "# draw vertical lines behind the bars\n", "ax.set_axisbelow(True)\n", "ax.xaxis.grid(True, which='major', linestyle='--', color='black', zorder=-1000)\n", "\n", "\n", "plt.suptitle(f\"Berlin Marathon 2022\\n\" f\"Winner finish time: {females_top_10.iloc[0]['nettime']} ({females_top_10.iloc[0]['fullname']})\")\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Runpandas for some race results come with the splits for the partial distances of the race. We can fetch for any runner the splits using the method ```runpandas.acessors.splits.pick_athlete```. So, if we need to have direct access to all splits from a specific runner, we will use the ```splits``` acesssor." ] }, { "cell_type": "code", "execution_count": 209, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
timedistance_metersdistance_miles
split
0k0 days 00:00:0000.0000
5k0 days 00:14:1450003.1069
10k0 days 00:28:23100006.2137
15k0 days 00:42:33150009.3206
20k0 days 00:56:452000012.4274
half0 days 00:59:512109713.1091
25k0 days 01:11:082500015.5343
30k0 days 01:25:403000018.6411
35k0 days 01:40:103500021.7480
40k0 days 01:54:534000024.8548
nettime0 days 02:01:094219526.2187
\n", "
" ], "text/plain": [ " time distance_meters distance_miles\n", "split \n", "0k 0 days 00:00:00 0 0.0000\n", "5k 0 days 00:14:14 5000 3.1069\n", "10k 0 days 00:28:23 10000 6.2137\n", "15k 0 days 00:42:33 15000 9.3206\n", "20k 0 days 00:56:45 20000 12.4274\n", "half 0 days 00:59:51 21097 13.1091\n", "25k 0 days 01:11:08 25000 15.5343\n", "30k 0 days 01:25:40 30000 18.6411\n", "35k 0 days 01:40:10 35000 21.7480\n", "40k 0 days 01:54:53 40000 24.8548\n", "nettime 0 days 02:01:09 42195 26.2187" ] }, "execution_count": 209, "metadata": {}, "output_type": "execute_result" } ], "source": [ "race_result.splits.pick_athlete(identifier='1')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now that we have access to all splits data, we can reshape the data and plot the finish time results with the splits for each mark presented. We will use the horizontal stacked bar charts." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First, let's fetch the top 10 male and female finishers from Berlin Marathon including their splits." ] }, { "cell_type": "code", "execution_count": 210, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
firstnamelastnamecountry5k10k15k20khalf25k30k35k40knettimefullname
0EliudKipchogeKEN0 days 00:14:140 days 00:28:230 days 00:42:330 days 00:56:450 days 00:59:510 days 01:11:080 days 01:25:400 days 01:40:100 days 01:54:530 days 02:01:09Eliud Kipchoge (KEN)
1MarkKorirKEN0 days 00:14:220 days 00:28:560 days 00:43:350 days 00:58:140 days 01:01:260 days 01:13:070 days 01:28:060 days 01:43:250 days 01:59:050 days 02:05:58Mark Korir (KEN)
2TaduAbateETH0 days 00:14:500 days 00:29:460 days 00:44:400 days 00:59:400 days 01:02:550 days 01:14:440 days 01:30:010 days 01:44:550 days 02:00:030 days 02:06:28Tadu Abate (ETH)
3AndamlakBelihuETH0 days 00:14:160 days 00:28:230 days 00:42:330 days 00:56:450 days 00:59:510 days 01:11:090 days 01:26:110 days 01:42:140 days 01:59:140 days 02:06:40Andamlak Belihu (ETH)
4AbelKipchumbaKEN0 days 00:14:220 days 00:28:550 days 00:43:350 days 00:58:140 days 01:01:250 days 01:13:070 days 01:28:030 days 01:43:080 days 01:59:140 days 02:06:49Abel Kipchumba (KEN)
5LimenihGetachewETH0 days 00:14:490 days 00:29:460 days 00:44:400 days 00:59:420 days 01:02:560 days 01:14:450 days 01:30:000 days 01:45:060 days 02:00:220 days 02:07:07Limenih Getachew (ETH)
6KenyaSonotaJPN0 days 00:14:490 days 00:29:460 days 00:44:380 days 00:59:390 days 01:02:550 days 01:14:450 days 01:30:010 days 01:45:060 days 02:00:300 days 02:07:14Kenya Sonota (JPN)
7TatsuyaMaruyamaJPN0 days 00:15:060 days 00:30:100 days 00:45:280 days 01:00:470 days 01:04:050 days 01:15:460 days 01:30:430 days 01:45:530 days 02:01:170 days 02:07:50Tatsuya Maruyama (JPN)
8KentoKikutaniJPN0 days 00:14:500 days 00:29:470 days 00:44:390 days 00:59:400 days 01:02:560 days 01:14:450 days 01:30:020 days 01:45:190 days 02:01:100 days 02:07:56Kento Kikutani (JPN)
9ZablonChumbaKEN0 days 00:14:490 days 00:29:450 days 00:44:380 days 00:59:390 days 01:02:540 days 01:14:450 days 01:30:000 days 01:45:050 days 02:00:490 days 02:08:01Zablon Chumba (KEN)
\n", "
" ], "text/plain": [ " firstname lastname country 5k 10k \\\n", "0 Eliud Kipchoge KEN 0 days 00:14:14 0 days 00:28:23 \n", "1 Mark Korir KEN 0 days 00:14:22 0 days 00:28:56 \n", "2 Tadu Abate ETH 0 days 00:14:50 0 days 00:29:46 \n", "3 Andamlak Belihu ETH 0 days 00:14:16 0 days 00:28:23 \n", "4 Abel Kipchumba KEN 0 days 00:14:22 0 days 00:28:55 \n", "5 Limenih Getachew ETH 0 days 00:14:49 0 days 00:29:46 \n", "6 Kenya Sonota JPN 0 days 00:14:49 0 days 00:29:46 \n", "7 Tatsuya Maruyama JPN 0 days 00:15:06 0 days 00:30:10 \n", "8 Kento Kikutani JPN 0 days 00:14:50 0 days 00:29:47 \n", "9 Zablon Chumba KEN 0 days 00:14:49 0 days 00:29:45 \n", "\n", " 15k 20k half 25k \\\n", "0 0 days 00:42:33 0 days 00:56:45 0 days 00:59:51 0 days 01:11:08 \n", "1 0 days 00:43:35 0 days 00:58:14 0 days 01:01:26 0 days 01:13:07 \n", "2 0 days 00:44:40 0 days 00:59:40 0 days 01:02:55 0 days 01:14:44 \n", "3 0 days 00:42:33 0 days 00:56:45 0 days 00:59:51 0 days 01:11:09 \n", "4 0 days 00:43:35 0 days 00:58:14 0 days 01:01:25 0 days 01:13:07 \n", "5 0 days 00:44:40 0 days 00:59:42 0 days 01:02:56 0 days 01:14:45 \n", "6 0 days 00:44:38 0 days 00:59:39 0 days 01:02:55 0 days 01:14:45 \n", "7 0 days 00:45:28 0 days 01:00:47 0 days 01:04:05 0 days 01:15:46 \n", "8 0 days 00:44:39 0 days 00:59:40 0 days 01:02:56 0 days 01:14:45 \n", "9 0 days 00:44:38 0 days 00:59:39 0 days 01:02:54 0 days 01:14:45 \n", "\n", " 30k 35k 40k nettime \\\n", "0 0 days 01:25:40 0 days 01:40:10 0 days 01:54:53 0 days 02:01:09 \n", "1 0 days 01:28:06 0 days 01:43:25 0 days 01:59:05 0 days 02:05:58 \n", "2 0 days 01:30:01 0 days 01:44:55 0 days 02:00:03 0 days 02:06:28 \n", "3 0 days 01:26:11 0 days 01:42:14 0 days 01:59:14 0 days 02:06:40 \n", "4 0 days 01:28:03 0 days 01:43:08 0 days 01:59:14 0 days 02:06:49 \n", "5 0 days 01:30:00 0 days 01:45:06 0 days 02:00:22 0 days 02:07:07 \n", "6 0 days 01:30:01 0 days 01:45:06 0 days 02:00:30 0 days 02:07:14 \n", "7 0 days 01:30:43 0 days 01:45:53 0 days 02:01:17 0 days 02:07:50 \n", "8 0 days 01:30:02 0 days 01:45:19 0 days 02:01:10 0 days 02:07:56 \n", "9 0 days 01:30:00 0 days 01:45:05 0 days 02:00:49 0 days 02:08:01 \n", "\n", " fullname \n", "0 Eliud Kipchoge (KEN) \n", "1 Mark Korir (KEN) \n", "2 Tadu Abate (ETH) \n", "3 Andamlak Belihu (ETH) \n", "4 Abel Kipchumba (KEN) \n", "5 Limenih Getachew (ETH) \n", "6 Kenya Sonota (JPN) \n", "7 Tatsuya Maruyama (JPN) \n", "8 Kento Kikutani (JPN) \n", "9 Zablon Chumba (KEN) " ] }, "execution_count": 210, "metadata": {}, "output_type": "execute_result" } ], "source": [ "male_top_10 = man_top_10[['firstname', 'lastname', 'country', '5k', '10k', '15k', '20k', 'half', '25k', '30k', '35k', '40k', 'nettime']]\n", "male_top_10['fullname'] = male_top_10['firstname'] + ' ' + male_top_10['lastname'] + ' (' + male_top_10['country'] + ')'\n", "male_top_10" ] }, { "cell_type": "code", "execution_count": 211, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
firstnamelastnamecountry5k10k15k20khalf25k30k35k40knettimefullname
32TigistAssefaETH0 days 00:16:220 days 00:32:360 days 00:48:440 days 01:04:430 days 01:08:130 days 01:20:480 days 01:36:410 days 01:52:270 days 02:08:420 days 02:15:37Tigist Assefa (ETH)
43RosemaryWanjiruKEN0 days 00:16:230 days 00:32:380 days 00:48:470 days 01:04:470 days 01:08:170 days 01:20:540 days 01:36:570 days 01:53:160 days 02:10:100 days 02:18:00Rosemary Wanjiru (KEN)
44TigistAbayechewETH0 days 00:16:230 days 00:32:380 days 00:48:460 days 01:04:440 days 01:08:140 days 01:20:490 days 01:36:410 days 01:52:460 days 02:10:150 days 02:18:03Tigist Abayechew (ETH)
48WorkeneshEdesaETH0 days 00:16:220 days 00:32:370 days 00:48:440 days 01:04:440 days 01:08:130 days 01:20:480 days 01:37:010 days 01:53:570 days 02:11:150 days 02:18:51Workenesh Edesa (ETH)
57Sisay MeseretGolaETH0 days 00:16:230 days 00:32:370 days 00:48:440 days 01:04:430 days 01:08:130 days 01:20:490 days 01:36:420 days 01:53:300 days 02:12:290 days 02:20:58Sisay Meseret Gola (ETH)
60KeiraD'AmatoUSA0 days 00:16:250 days 00:32:430 days 00:49:110 days 01:05:500 days 01:09:270 days 01:22:360 days 01:39:350 days 01:57:060 days 02:14:280 days 02:21:48Keira D'Amato (USA)
64RikaKasedaJPN0 days 00:16:530 days 00:33:300 days 00:50:110 days 01:06:560 days 01:10:330 days 01:23:410 days 01:40:290 days 01:57:270 days 02:14:270 days 02:21:55Rika Kaseda (JPN)
65AyukoSuzukiJPN0 days 00:16:530 days 00:33:300 days 00:50:100 days 01:06:550 days 01:10:330 days 01:23:410 days 01:40:300 days 01:57:270 days 02:14:340 days 02:22:02Ayuko Suzuki (JPN)
66SayakaSatoJPN0 days 00:16:330 days 00:33:170 days 00:50:030 days 01:06:430 days 01:10:200 days 01:23:290 days 01:40:300 days 01:57:280 days 02:14:480 days 02:22:13Sayaka Sato (JPN)
68VibianChepkiruiKEN0 days 00:16:210 days 00:32:360 days 00:48:440 days 01:04:430 days 01:08:130 days 01:20:480 days 01:36:580 days 01:54:120 days 02:13:380 days 02:22:21Vibian Chepkirui (KEN)
\n", "
" ], "text/plain": [ " firstname lastname country 5k 10k \\\n", "32 Tigist Assefa ETH 0 days 00:16:22 0 days 00:32:36 \n", "43 Rosemary Wanjiru KEN 0 days 00:16:23 0 days 00:32:38 \n", "44 Tigist Abayechew ETH 0 days 00:16:23 0 days 00:32:38 \n", "48 Workenesh Edesa ETH 0 days 00:16:22 0 days 00:32:37 \n", "57 Sisay Meseret Gola ETH 0 days 00:16:23 0 days 00:32:37 \n", "60 Keira D'Amato USA 0 days 00:16:25 0 days 00:32:43 \n", "64 Rika Kaseda JPN 0 days 00:16:53 0 days 00:33:30 \n", "65 Ayuko Suzuki JPN 0 days 00:16:53 0 days 00:33:30 \n", "66 Sayaka Sato JPN 0 days 00:16:33 0 days 00:33:17 \n", "68 Vibian Chepkirui KEN 0 days 00:16:21 0 days 00:32:36 \n", "\n", " 15k 20k half 25k \\\n", "32 0 days 00:48:44 0 days 01:04:43 0 days 01:08:13 0 days 01:20:48 \n", "43 0 days 00:48:47 0 days 01:04:47 0 days 01:08:17 0 days 01:20:54 \n", "44 0 days 00:48:46 0 days 01:04:44 0 days 01:08:14 0 days 01:20:49 \n", "48 0 days 00:48:44 0 days 01:04:44 0 days 01:08:13 0 days 01:20:48 \n", "57 0 days 00:48:44 0 days 01:04:43 0 days 01:08:13 0 days 01:20:49 \n", "60 0 days 00:49:11 0 days 01:05:50 0 days 01:09:27 0 days 01:22:36 \n", "64 0 days 00:50:11 0 days 01:06:56 0 days 01:10:33 0 days 01:23:41 \n", "65 0 days 00:50:10 0 days 01:06:55 0 days 01:10:33 0 days 01:23:41 \n", "66 0 days 00:50:03 0 days 01:06:43 0 days 01:10:20 0 days 01:23:29 \n", "68 0 days 00:48:44 0 days 01:04:43 0 days 01:08:13 0 days 01:20:48 \n", "\n", " 30k 35k 40k nettime \\\n", "32 0 days 01:36:41 0 days 01:52:27 0 days 02:08:42 0 days 02:15:37 \n", "43 0 days 01:36:57 0 days 01:53:16 0 days 02:10:10 0 days 02:18:00 \n", "44 0 days 01:36:41 0 days 01:52:46 0 days 02:10:15 0 days 02:18:03 \n", "48 0 days 01:37:01 0 days 01:53:57 0 days 02:11:15 0 days 02:18:51 \n", "57 0 days 01:36:42 0 days 01:53:30 0 days 02:12:29 0 days 02:20:58 \n", "60 0 days 01:39:35 0 days 01:57:06 0 days 02:14:28 0 days 02:21:48 \n", "64 0 days 01:40:29 0 days 01:57:27 0 days 02:14:27 0 days 02:21:55 \n", "65 0 days 01:40:30 0 days 01:57:27 0 days 02:14:34 0 days 02:22:02 \n", "66 0 days 01:40:30 0 days 01:57:28 0 days 02:14:48 0 days 02:22:13 \n", "68 0 days 01:36:58 0 days 01:54:12 0 days 02:13:38 0 days 02:22:21 \n", "\n", " fullname \n", "32 Tigist Assefa (ETH) \n", "43 Rosemary Wanjiru (KEN) \n", "44 Tigist Abayechew (ETH) \n", "48 Workenesh Edesa (ETH) \n", "57 Sisay Meseret Gola (ETH) \n", "60 Keira D'Amato (USA) \n", "64 Rika Kaseda (JPN) \n", "65 Ayuko Suzuki (JPN) \n", "66 Sayaka Sato (JPN) \n", "68 Vibian Chepkirui (KEN) " ] }, "execution_count": 211, "metadata": {}, "output_type": "execute_result" } ], "source": [ "females_top_10 = female_top_10[['firstname', 'lastname', 'country', '5k', '10k', '15k', '20k', 'half', '25k', '30k', '35k', '40k', 'nettime']]\n", "females_top_10['fullname'] = female_top_10['firstname'] + ' ' + female_top_10['lastname'] + ' ' + ' (' + female_top_10['country'] + ')'\n", "females_top_10" ] }, { "cell_type": "code", "execution_count": 212, "metadata": {}, "outputs": [], "source": [ "from matplotlib import pyplot as plt\n", "from matplotlib.pyplot import figure" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now it is time for us to visualize the data! We start with defining the colors of the splits in a dictionary so we can access those later." ] }, { "cell_type": "code", "execution_count": 213, "metadata": {}, "outputs": [], "source": [ "split_colors = {\n", " '5k': '#FF3333',\n", " '10k': '#FFF200',\n", " '15k': '#EBEBEB',\n", " '20k': '#39B54A',\n", " 'half': '#00AEEF',\n", " '25k': '#8c564b',\n", " '30k': '#e377c2',\n", " '35k': '#7f7f7f',\n", " '40k': '#bcbd22',\n", " 'nettime': '#17becf',\n", "}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "After that, it is time to (finally) generate the plot!\n" ] }, { "cell_type": "code", "execution_count": 214, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\n", "\n", "fig, ax = plt.subplots()\n", "fig.set_figheight(10)\n", "fig.set_figwidth(15)\n", "\n", "SPLITS = ['5k', '10k', '15k', '20k', 'half', '25k', '30k', '35k', '40k', 'nettime']\n", "\n", "for _, finisher in male_top_10.iterrows():\n", " previous_split_end = pd.to_timedelta(\"0:00:00\").total_seconds()\n", " for split in SPLITS :\n", " ax.barh(\n", " [finisher['fullname']],\n", " finisher[split].total_seconds() - previous_split_end,\n", " left=previous_split_end,\n", " color=split_colors[split],\n", " label = split,\n", " edgecolor = \"black\"\n", " )\n", " previous_split_end = finisher[split].total_seconds()\n", "\n", "def timeTicks(x, pos):\n", " d = datetime.timedelta(seconds=x)\n", " return str(d)\n", "formatter = matplotlib.ticker.FuncFormatter(timeTicks)\n", "ax.xaxis.set_major_formatter(formatter)\n", "ax.xaxis.set_major_locator(plt.MultipleLocator(15*30))\n", "\n", "# Set title\n", "plt.title(f'Race splits - Berlin Marathon 2022')\n", "\n", "# Set x-label\n", "plt.xlabel('Time')\n", "\n", "# Invert y-axis\n", "plt.gca().invert_yaxis()\n", "\n", "# Remove frame from plot\n", "ax.spines['top'].set_visible(False)\n", "ax.spines['right'].set_visible(False)\n", "ax.spines['left'].set_visible(False)\n", "\n", "\n", "ax.set_axisbelow(True)\n", "ax.xaxis.grid(True, which='major', linestyle='--', color='black', zorder=-1000)\n", "\n", "horiz_offset = 1.03\n", "vert_offset = 1.\n", "ax.legend(SPLITS, bbox_to_anchor=(horiz_offset, vert_offset))\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can see above that the Eliud Kipchoge, since the second split (10k) took the leadership with some minutes at front of the other runners.\n", "Let's now plot the race splits for the top ten female finishers." ] }, { "cell_type": "code", "execution_count": 215, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\n", "\n", "fig, ax = plt.subplots()\n", "fig.set_figheight(10)\n", "fig.set_figwidth(15)\n", "\n", "SPLITS = ['5k', '10k', '15k', '20k', 'half', '25k', '30k', '35k', '40k', 'nettime']\n", "\n", "for _, finisher in females_top_10.iterrows():\n", " previous_split_end = pd.to_timedelta(\"0:00:00\").total_seconds()\n", " for split in SPLITS :\n", " ax.barh(\n", " [finisher['fullname']],\n", " finisher[split].total_seconds() - previous_split_end,\n", " left=previous_split_end,\n", " color=split_colors[split],\n", " label = split,\n", " edgecolor = \"black\"\n", " )\n", " previous_split_end = finisher[split].total_seconds()\n", "\n", "def timeTicks(x, pos):\n", " d = datetime.timedelta(seconds=x)\n", " return str(d)\n", "formatter = matplotlib.ticker.FuncFormatter(timeTicks)\n", "ax.xaxis.set_major_formatter(formatter)\n", "ax.xaxis.set_major_locator(plt.MultipleLocator(15*30))\n", "\n", "# Set title\n", "plt.title(f'Race splits - Berlin Marathon 2022')\n", "\n", "# Set x-label\n", "plt.xlabel('Time')\n", "\n", "# Invert y-axis\n", "plt.gca().invert_yaxis()\n", "\n", "# Remove frame from plot\n", "ax.spines['top'].set_visible(False)\n", "ax.spines['right'].set_visible(False)\n", "ax.spines['left'].set_visible(False)\n", "\n", "\n", "ax.set_axisbelow(True)\n", "ax.xaxis.grid(True, which='major', linestyle='--', color='black', zorder=-1000)\n", "\n", "horiz_offset = 1.03\n", "vert_offset = 1.\n", "ax.legend(SPLITS, bbox_to_anchor=(horiz_offset, vert_offset))\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Different from the female finishers, where the finish podium was more disputed. Tigist Assefa only took the leadership with relative difference from the split 40k (almost at the end of the race)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "One of the curiosities about the race is to visualize the standing changes over the splits. To see if any runners lost their positions during the first or the second half of the race, or if any runners lost the podium during the final splits. Let's prepate the data for the plot, by calculating the runner's position at each split of the race." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will create a rank table based on the split times for each runner. Pandas comes with a useful method for this task named `pandas.DataFrame.rank`. We will compute for each split the standing position, so we can have a overall look at the changes during the race.\n" ] }, { "cell_type": "code", "execution_count": 216, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
fullname5k10k15k20khalf25k30k35k40knettime
0Eliud Kipchoge (KEN)1.01.01.01.01.01.01.01.01.01.0
1Mark Korir (KEN)3.03.02.02.03.03.04.04.02.02.0
2Tadu Abate (ETH)5.05.05.04.05.04.06.05.04.03.0
3Andamlak Belihu (ETH)2.01.01.01.01.02.02.02.03.04.0
4Abel Kipchumba (KEN)3.02.02.02.02.03.03.03.03.05.0
5Limenih Getachew (ETH)4.05.05.05.06.05.05.07.05.06.0
6Kenya Sonota (JPN)4.05.03.03.05.05.06.07.06.07.0
7Tatsuya Maruyama (JPN)6.07.06.06.07.06.08.09.09.08.0
8Kento Kikutani (JPN)5.06.04.04.06.05.07.08.08.09.0
9Zablon Chumba (KEN)4.04.03.03.04.05.05.06.07.010.0
\n", "
" ], "text/plain": [ " fullname 5k 10k 15k 20k half 25k 30k 35k 40k \\\n", "0 Eliud Kipchoge (KEN) 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 \n", "1 Mark Korir (KEN) 3.0 3.0 2.0 2.0 3.0 3.0 4.0 4.0 2.0 \n", "2 Tadu Abate (ETH) 5.0 5.0 5.0 4.0 5.0 4.0 6.0 5.0 4.0 \n", "3 Andamlak Belihu (ETH) 2.0 1.0 1.0 1.0 1.0 2.0 2.0 2.0 3.0 \n", "4 Abel Kipchumba (KEN) 3.0 2.0 2.0 2.0 2.0 3.0 3.0 3.0 3.0 \n", "5 Limenih Getachew (ETH) 4.0 5.0 5.0 5.0 6.0 5.0 5.0 7.0 5.0 \n", "6 Kenya Sonota (JPN) 4.0 5.0 3.0 3.0 5.0 5.0 6.0 7.0 6.0 \n", "7 Tatsuya Maruyama (JPN) 6.0 7.0 6.0 6.0 7.0 6.0 8.0 9.0 9.0 \n", "8 Kento Kikutani (JPN) 5.0 6.0 4.0 4.0 6.0 5.0 7.0 8.0 8.0 \n", "9 Zablon Chumba (KEN) 4.0 4.0 3.0 3.0 4.0 5.0 5.0 6.0 7.0 \n", "\n", " nettime \n", "0 1.0 \n", "1 2.0 \n", "2 3.0 \n", "3 4.0 \n", "4 5.0 \n", "5 6.0 \n", "6 7.0 \n", "7 8.0 \n", "8 9.0 \n", "9 10.0 " ] }, "execution_count": 216, "metadata": {}, "output_type": "execute_result" } ], "source": [ "male_top_10_filtered = male_top_10.drop(['firstname', 'lastname', 'country'], axis=1)\n", "ranked_male_top10 = male_top_10_filtered.set_index('fullname').rank(method='dense').reset_index()\n", "ranked_male_top10" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, we’re melting the dataset based on the split. This will convert the dataset from wide to long, were multiple columns (in this case the split and the runner) will work as identifiers. The result of the melting looks like this:\n", "\n" ] }, { "cell_type": "code", "execution_count": 217, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
fullnamevariablevalue
0Eliud Kipchoge (KEN)5k1.0
1Mark Korir (KEN)5k3.0
2Tadu Abate (ETH)5k5.0
3Andamlak Belihu (ETH)5k2.0
4Abel Kipchumba (KEN)5k3.0
............
95Limenih Getachew (ETH)nettime6.0
96Kenya Sonota (JPN)nettime7.0
97Tatsuya Maruyama (JPN)nettime8.0
98Kento Kikutani (JPN)nettime9.0
99Zablon Chumba (KEN)nettime10.0
\n", "

100 rows × 3 columns

\n", "
" ], "text/plain": [ " fullname variable value\n", "0 Eliud Kipchoge (KEN) 5k 1.0\n", "1 Mark Korir (KEN) 5k 3.0\n", "2 Tadu Abate (ETH) 5k 5.0\n", "3 Andamlak Belihu (ETH) 5k 2.0\n", "4 Abel Kipchumba (KEN) 5k 3.0\n", ".. ... ... ...\n", "95 Limenih Getachew (ETH) nettime 6.0\n", "96 Kenya Sonota (JPN) nettime 7.0\n", "97 Tatsuya Maruyama (JPN) nettime 8.0\n", "98 Kento Kikutani (JPN) nettime 9.0\n", "99 Zablon Chumba (KEN) nettime 10.0\n", "\n", "[100 rows x 3 columns]" ] }, "execution_count": 217, "metadata": {}, "output_type": "execute_result" } ], "source": [ "berlin_male_top10_standings = pd.melt(ranked_male_top10, ['fullname'])\n", "berlin_male_top10_standings" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we have the data in the format we want it in, we can generate the final plot.\n" ] }, { "cell_type": "code", "execution_count": 218, "metadata": {}, "outputs": [], "source": [ "import seaborn as sns\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 219, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Increase the size of the plot\n", "sns.set(rc={'figure.figsize':(11.7,8.27)})\n", "\n", "# Initiate the plot\n", "fig, ax = plt.subplots()\n", "\n", "# Set the title of the plot\n", "ax.set_title(\"Berlin Marathon 2022 - Male\")\n", "\n", "# Draw a line for every runner in the data by looping through all the standings\n", "for runner in pd.unique(berlin_male_top10_standings['fullname']):\n", " sns.lineplot(\n", " x='variable', \n", " y='value', \n", " data=berlin_male_top10_standings.loc[berlin_male_top10_standings['fullname']==runner],\n", " )\n", "\n", "# Invert Y-axis to have runner leader (#1) on top\n", "ax.invert_yaxis()\n", "\n", "# Set the values that appear on y-axes\n", "ax.set_yticks(range(1, 10))\n", "\n", "# Set the labels of the axes\n", "ax.set_xlabel(\"Split\")\n", "ax.set_ylabel(\"Race position\")\n", "\n", "# Disable the gridlines\n", "ax.grid(False)\n", "\n", "\n", "# Add the runner name to the lines\n", "for line, name in zip(ax.lines, ranked_male_top10['fullname'].tolist()):\n", " y = line.get_ydata()[-1]\n", " x = line.get_xdata()[-1]\n", "\n", " text = ax.annotate(\n", " name,\n", " xy=(x + 0.1, y),\n", " xytext=(0, 0),\n", " color=line.get_color(),\n", " xycoords=(\n", " ax.get_xaxis_transform(),\n", " ax.get_yaxis_transform()\n", " ),\n", " textcoords=\"offset points\"\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Amazing to see the performance of Eliud Kipchoge, always on the lead. Other runner that lost positions was Andamlak Belihu (ETH), who tried to follow Eliud but from the second half lost three positions." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's analyze the women's standing during the race. Let's perform the transformation on the female's dataset (ranking and melting methods)." ] }, { "cell_type": "code", "execution_count": 220, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
fullname5k10k15k20khalf25k30k35k40knettime
0Tigist Assefa (ETH)2.01.01.01.01.01.01.01.01.01.0
1Rosemary Wanjiru (KEN)3.03.03.03.03.03.03.03.02.02.0
2Tigist Abayechew (ETH)3.03.02.02.02.02.01.02.03.03.0
3Workenesh Edesa (ETH)2.02.01.02.01.01.05.05.04.04.0
4Sisay Meseret Gola (ETH)3.02.01.01.01.02.02.04.05.05.0
5Keira D'Amato (USA)4.04.04.04.04.04.06.07.08.06.0
6Rika Kaseda (JPN)6.06.07.07.06.06.07.08.07.07.0
7Ayuko Suzuki (JPN)6.06.06.06.06.06.08.08.09.08.0
8Sayaka Sato (JPN)5.05.05.05.05.05.08.09.010.09.0
9Vibian Chepkirui (KEN)1.01.01.01.01.01.04.06.06.010.0
\n", "
" ], "text/plain": [ " fullname 5k 10k 15k 20k half 25k 30k 35k 40k \\\n", "0 Tigist Assefa (ETH) 2.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 \n", "1 Rosemary Wanjiru (KEN) 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 2.0 \n", "2 Tigist Abayechew (ETH) 3.0 3.0 2.0 2.0 2.0 2.0 1.0 2.0 3.0 \n", "3 Workenesh Edesa (ETH) 2.0 2.0 1.0 2.0 1.0 1.0 5.0 5.0 4.0 \n", "4 Sisay Meseret Gola (ETH) 3.0 2.0 1.0 1.0 1.0 2.0 2.0 4.0 5.0 \n", "5 Keira D'Amato (USA) 4.0 4.0 4.0 4.0 4.0 4.0 6.0 7.0 8.0 \n", "6 Rika Kaseda (JPN) 6.0 6.0 7.0 7.0 6.0 6.0 7.0 8.0 7.0 \n", "7 Ayuko Suzuki (JPN) 6.0 6.0 6.0 6.0 6.0 6.0 8.0 8.0 9.0 \n", "8 Sayaka Sato (JPN) 5.0 5.0 5.0 5.0 5.0 5.0 8.0 9.0 10.0 \n", "9 Vibian Chepkirui (KEN) 1.0 1.0 1.0 1.0 1.0 1.0 4.0 6.0 6.0 \n", "\n", " nettime \n", "0 1.0 \n", "1 2.0 \n", "2 3.0 \n", "3 4.0 \n", "4 5.0 \n", "5 6.0 \n", "6 7.0 \n", "7 8.0 \n", "8 9.0 \n", "9 10.0 " ] }, "execution_count": 220, "metadata": {}, "output_type": "execute_result" } ], "source": [ "females_top_10_filtered = females_top_10.drop(['firstname', 'lastname', 'country'], axis=1)\n", "ranked_females_top10 = females_top_10_filtered.set_index('fullname').rank(method='dense').reset_index()\n", "ranked_females_top10" ] }, { "cell_type": "code", "execution_count": 221, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
fullnamevariablevalue
0Tigist Assefa (ETH)5k2.0
1Rosemary Wanjiru (KEN)5k3.0
2Tigist Abayechew (ETH)5k3.0
3Workenesh Edesa (ETH)5k2.0
4Sisay Meseret Gola (ETH)5k3.0
............
95Keira D'Amato (USA)nettime6.0
96Rika Kaseda (JPN)nettime7.0
97Ayuko Suzuki (JPN)nettime8.0
98Sayaka Sato (JPN)nettime9.0
99Vibian Chepkirui (KEN)nettime10.0
\n", "

100 rows × 3 columns

\n", "
" ], "text/plain": [ " fullname variable value\n", "0 Tigist Assefa (ETH) 5k 2.0\n", "1 Rosemary Wanjiru (KEN) 5k 3.0\n", "2 Tigist Abayechew (ETH) 5k 3.0\n", "3 Workenesh Edesa (ETH) 5k 2.0\n", "4 Sisay Meseret Gola (ETH) 5k 3.0\n", ".. ... ... ...\n", "95 Keira D'Amato (USA) nettime 6.0\n", "96 Rika Kaseda (JPN) nettime 7.0\n", "97 Ayuko Suzuki (JPN) nettime 8.0\n", "98 Sayaka Sato (JPN) nettime 9.0\n", "99 Vibian Chepkirui (KEN) nettime 10.0\n", "\n", "[100 rows x 3 columns]" ] }, "execution_count": 221, "metadata": {}, "output_type": "execute_result" } ], "source": [ "berlin_female_top10_standings = pd.melt(ranked_females_top10, ['fullname'])\n", "berlin_female_top10_standings" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's now plot the standings position through the race." ] }, { "cell_type": "code", "execution_count": 222, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Increase the size of the plot\n", "sns.set(rc={'figure.figsize':(11.7,8.27)})\n", "\n", "# Initiate the plot\n", "fig, ax = plt.subplots()\n", "\n", "# Set the title of the plot\n", "ax.set_title(\"Berlin Marathon 2022 - Female\")\n", "\n", "# Draw a line for every runner in the data by looping through all the standings\n", "for runner in pd.unique(berlin_female_top10_standings['fullname']):\n", " sns.lineplot(\n", " x='variable', \n", " y='value', \n", " data=berlin_female_top10_standings.loc[berlin_female_top10_standings['fullname']==runner],\n", " )\n", "\n", "# Invert Y-axis to have runner leader (#1) on top\n", "ax.invert_yaxis()\n", "\n", "# Set the values that appear on y-axes\n", "ax.set_yticks(range(1, 10))\n", "\n", "# Set the labels of the axes\n", "ax.set_xlabel(\"Split\")\n", "ax.set_ylabel(\"Race position\")\n", "\n", "# Disable the gridlines\n", "ax.grid(False)\n", "\n", "\n", "# Add the runner name to the lines\n", "for line, name in zip(ax.lines, ranked_females_top10['fullname'].tolist()):\n", " y = line.get_ydata()[-1]\n", " x = line.get_xdata()[-1]\n", "\n", " text = ax.annotate(\n", " name,\n", " xy=(x + 0.1, y),\n", " xytext=(0, 0),\n", " color=line.get_color(),\n", " xycoords=(\n", " ax.get_xaxis_transform(),\n", " ax.get_yaxis_transform()\n", " ),\n", " textcoords=\"offset points\"\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Tigist Assefa (ETH) showing a steadily high performance maintaning the leadership during all the race. It is interesting to see the that Vibian Chepkirui (KEN) tried to follow her until the split 25k and lost many position, finishing in 10th place. The same happened to Workensh Edesa (ETH) alternating the first and second positions until the second half of the race, which she lost three positions and finished on 4th place." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Analyzing Eliud Kipchoge results" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Eliud Kipchoge shattered his own world record on Berlin Marathon with a time of 02:01:09. Kipchoge's previous best in an official 42.2km race was 2:01:39 set on the same course in 2018. Eliud also made history in 2019 when he became the first man to run a marathon in under two hours at INEOS 1:59 Challenge, in Vienna, Austria. Based on these amazing finishing times, we would like to compare all the split datas from these races to see how Eliud performed during the race compared to his previous world record in 2018 and INEOS 1:59 Challenge, so we can see what he need to perform this mark in a marathon again.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First we need to collect his available splits in 2022 and 2018 Berlin Marathons and the INEOS 1:49 Challenge." ] }, { "cell_type": "code", "execution_count": 223, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
time_2022distance_metersdistance_miles
split
0k0 days 00:00:0000.0000
5k0 days 00:14:1450003.1069
10k0 days 00:28:23100006.2137
15k0 days 00:42:33150009.3206
20k0 days 00:56:452000012.4274
half0 days 00:59:512109713.1091
25k0 days 01:11:082500015.5343
30k0 days 01:25:403000018.6411
35k0 days 01:40:103500021.7480
40k0 days 01:54:534000024.8548
nettime0 days 02:01:094219526.2187
\n", "
" ], "text/plain": [ " time_2022 distance_meters distance_miles\n", "split \n", "0k 0 days 00:00:00 0 0.0000\n", "5k 0 days 00:14:14 5000 3.1069\n", "10k 0 days 00:28:23 10000 6.2137\n", "15k 0 days 00:42:33 15000 9.3206\n", "20k 0 days 00:56:45 20000 12.4274\n", "half 0 days 00:59:51 21097 13.1091\n", "25k 0 days 01:11:08 25000 15.5343\n", "30k 0 days 01:25:40 30000 18.6411\n", "35k 0 days 01:40:10 35000 21.7480\n", "40k 0 days 01:54:53 40000 24.8548\n", "nettime 0 days 02:01:09 42195 26.2187" ] }, "execution_count": 223, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#collecting the splits from 2022 from the previous berlin dataset\n", "eliud_2022_berlin_result = race_result.splits.pick_athlete(identifier='1')\n", "eliud_2022_berlin_result.rename(columns={'time': 'time_2022'}, inplace=True)\n", "eliud_2022_berlin_result" ] }, { "cell_type": "code", "execution_count": 224, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0k 0 days 00:00:00\n", "5k 0 days 00:14:24\n", "10k 0 days 00:29:01\n", "15k 0 days 00:43:38\n", "20k 0 days 00:57:56\n", "half 0 days 01:01:06\n", "25k 0 days 01:12:24\n", "30k 0 days 01:26:45\n", "35k 0 days 01:41:03\n", "40k 0 days 01:55:32\n", "nettime 0 days 02:01:39\n", "Name: time_2018, dtype: timedelta64[ns]" ] }, "execution_count": 224, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#We created the splits pandas Series from the 2018 Berlin Marathon for Eliud Kipchoge manually. Source: Berlin Marathon Result Archive\n", "eliud_2018_berlin_result = pd.Series([\"0:00:00\", \"00:14:24\", \"00:29:01\", \"00:43:38\", \"00:57:56\", \"01:01:06\", \"01:12:24\", \"01:26:45\", \"01:41:03\", \"01:55:32\", \"02:01:39\"], index=['0k', '5k', '10k', '15k', '20k', 'half', '25k', '30k', '35k', '40k', 'nettime'], name='time_2018')\n", "eliud_2018_berlin_result = pd.to_timedelta(eliud_2018_berlin_result)\n", "\n", "eliud_2018_berlin_result" ] }, { "cell_type": "code", "execution_count": 225, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0k 0 days 00:00:00\n", "5k 0 days 00:14:10\n", "10k 0 days 00:28:20\n", "15k 0 days 00:42:34\n", "20k 0 days 00:56:47\n", "half 0 days 00:59:37\n", "25k 0 days 01:10:59\n", "30k 0 days 01:25:11\n", "35k 0 days 01:39:23\n", "40k 0 days 01:53:36\n", "nettime 0 days 01:59:40\n", "Name: time_ineos_159, dtype: timedelta64[ns]" ] }, "execution_count": 225, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#We created the splits pandas Series from the 2019 INEOS 159 Challenge for Eliud Kipchoge manually. Source: wikipedia\n", "eliud_2019_ineos_159_result = pd.Series([\"0:00:00\", \"00:14:10\", \"00:28:20\", \"00:42:34\", \"00:56:47\", \"0:59:37\", \"01:10:59\", \"01:25:11\", \"01:39:23\", \"01:53:36\", \"01:59:40\"], index=['0k', '5k', '10k', '15k', '20k', 'half', '25k', '30k', '35k', '40k', 'nettime'], name='time_ineos_159')\n", "eliud_2019_ineos_159_result = pd.to_timedelta(eliud_2019_ineos_159_result)\n", "\n", "eliud_2019_ineos_159_result" ] }, { "cell_type": "code", "execution_count": 226, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
time_2022distance_metersdistance_milestime_ineos_159time_2018
0k0 days 00:00:0000.00000 days 00:00:000 days 00:00:00
5k0 days 00:14:1450003.10690 days 00:14:100 days 00:14:24
10k0 days 00:28:23100006.21370 days 00:28:200 days 00:29:01
15k0 days 00:42:33150009.32060 days 00:42:340 days 00:43:38
20k0 days 00:56:452000012.42740 days 00:56:470 days 00:57:56
half0 days 00:59:512109713.10910 days 00:59:370 days 01:01:06
25k0 days 01:11:082500015.53430 days 01:10:590 days 01:12:24
30k0 days 01:25:403000018.64110 days 01:25:110 days 01:26:45
35k0 days 01:40:103500021.74800 days 01:39:230 days 01:41:03
40k0 days 01:54:534000024.85480 days 01:53:360 days 01:55:32
nettime0 days 02:01:094219526.21870 days 01:59:400 days 02:01:39
\n", "
" ], "text/plain": [ " time_2022 distance_meters distance_miles time_ineos_159 \\\n", "0k 0 days 00:00:00 0 0.0000 0 days 00:00:00 \n", "5k 0 days 00:14:14 5000 3.1069 0 days 00:14:10 \n", "10k 0 days 00:28:23 10000 6.2137 0 days 00:28:20 \n", "15k 0 days 00:42:33 15000 9.3206 0 days 00:42:34 \n", "20k 0 days 00:56:45 20000 12.4274 0 days 00:56:47 \n", "half 0 days 00:59:51 21097 13.1091 0 days 00:59:37 \n", "25k 0 days 01:11:08 25000 15.5343 0 days 01:10:59 \n", "30k 0 days 01:25:40 30000 18.6411 0 days 01:25:11 \n", "35k 0 days 01:40:10 35000 21.7480 0 days 01:39:23 \n", "40k 0 days 01:54:53 40000 24.8548 0 days 01:53:36 \n", "nettime 0 days 02:01:09 42195 26.2187 0 days 01:59:40 \n", "\n", " time_2018 \n", "0k 0 days 00:00:00 \n", "5k 0 days 00:14:24 \n", "10k 0 days 00:29:01 \n", "15k 0 days 00:43:38 \n", "20k 0 days 00:57:56 \n", "half 0 days 01:01:06 \n", "25k 0 days 01:12:24 \n", "30k 0 days 01:26:45 \n", "35k 0 days 01:41:03 \n", "40k 0 days 01:55:32 \n", "nettime 0 days 02:01:39 " ] }, "execution_count": 226, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Merging all series into a single dataframe containing all splits from 2018, Ineos 159 and 2022 race results.\n", "eliud_race_results = eliud_2022_berlin_result.merge(eliud_2019_ineos_159_result.to_frame(), left_index=True, right_index=True).merge(eliud_2018_berlin_result.to_frame(), left_index=True, right_index=True)\n", "eliud_race_results\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let’s now replay these four three WRs in the same (virtual) race, to get a better sense of how Eliud Kipchoge has performed by comparing their pacing and timing information." ] }, { "cell_type": "code", "execution_count": 227, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
time_2022distance_metersdistance_milestime_ineos_159time_2018diff_2022_ineosdiff_2018_ineosineos_159_time_refdiff_2022_2018
0k0 days 00:00:0000.00000 days 00:00:000 days 00:00:000.00.00.00.0
5k0 days 00:14:1450003.10690 days 00:14:100 days 00:14:244.014.00.0-10.0
10k0 days 00:28:23100006.21370 days 00:28:200 days 00:29:013.041.00.0-38.0
15k0 days 00:42:33150009.32060 days 00:42:340 days 00:43:38-1.064.00.0-65.0
20k0 days 00:56:452000012.42740 days 00:56:470 days 00:57:56-2.069.00.0-71.0
half0 days 00:59:512109713.10910 days 00:59:370 days 01:01:0614.089.00.0-75.0
25k0 days 01:11:082500015.53430 days 01:10:590 days 01:12:249.085.00.0-76.0
30k0 days 01:25:403000018.64110 days 01:25:110 days 01:26:4529.094.00.0-65.0
35k0 days 01:40:103500021.74800 days 01:39:230 days 01:41:0347.0100.00.0-53.0
40k0 days 01:54:534000024.85480 days 01:53:360 days 01:55:3277.0116.00.0-39.0
nettime0 days 02:01:094219526.21870 days 01:59:400 days 02:01:3989.0119.00.0-30.0
\n", "
" ], "text/plain": [ " time_2022 distance_meters distance_miles time_ineos_159 \\\n", "0k 0 days 00:00:00 0 0.0000 0 days 00:00:00 \n", "5k 0 days 00:14:14 5000 3.1069 0 days 00:14:10 \n", "10k 0 days 00:28:23 10000 6.2137 0 days 00:28:20 \n", "15k 0 days 00:42:33 15000 9.3206 0 days 00:42:34 \n", "20k 0 days 00:56:45 20000 12.4274 0 days 00:56:47 \n", "half 0 days 00:59:51 21097 13.1091 0 days 00:59:37 \n", "25k 0 days 01:11:08 25000 15.5343 0 days 01:10:59 \n", "30k 0 days 01:25:40 30000 18.6411 0 days 01:25:11 \n", "35k 0 days 01:40:10 35000 21.7480 0 days 01:39:23 \n", "40k 0 days 01:54:53 40000 24.8548 0 days 01:53:36 \n", "nettime 0 days 02:01:09 42195 26.2187 0 days 01:59:40 \n", "\n", " time_2018 diff_2022_ineos diff_2018_ineos ineos_159_time_ref \\\n", "0k 0 days 00:00:00 0.0 0.0 0.0 \n", "5k 0 days 00:14:24 4.0 14.0 0.0 \n", "10k 0 days 00:29:01 3.0 41.0 0.0 \n", "15k 0 days 00:43:38 -1.0 64.0 0.0 \n", "20k 0 days 00:57:56 -2.0 69.0 0.0 \n", "half 0 days 01:01:06 14.0 89.0 0.0 \n", "25k 0 days 01:12:24 9.0 85.0 0.0 \n", "30k 0 days 01:26:45 29.0 94.0 0.0 \n", "35k 0 days 01:41:03 47.0 100.0 0.0 \n", "40k 0 days 01:55:32 77.0 116.0 0.0 \n", "nettime 0 days 02:01:39 89.0 119.0 0.0 \n", "\n", " diff_2022_2018 \n", "0k 0.0 \n", "5k -10.0 \n", "10k -38.0 \n", "15k -65.0 \n", "20k -71.0 \n", "half -75.0 \n", "25k -76.0 \n", "30k -65.0 \n", "35k -53.0 \n", "40k -39.0 \n", "nettime -30.0 " ] }, "execution_count": 227, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#let's compute the timing difference for all the splits againts the INEOS 159 WR record (best result from Eliud)\n", "eliud_race_results['diff_2022_ineos'] = eliud_race_results['time_2022'].dt.total_seconds() - eliud_race_results['time_ineos_159'].dt.total_seconds()\n", "eliud_race_results['diff_2018_ineos'] = eliud_race_results['time_2018'].dt.total_seconds() - eliud_race_results['time_ineos_159'].dt.total_seconds()\n", "eliud_race_results['ineos_159_time_ref'] = 0.0 #all values 0 as reference\n", "eliud_race_results['diff_2022_2018'] = eliud_race_results['time_2022'].dt.total_seconds() - eliud_race_results['time_2018'].dt.total_seconds()\n", "eliud_race_results" ] }, { "cell_type": "code", "execution_count": 228, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax1 = plt.subplots(figsize=(12,4))\n", "ax1.plot(eliud_race_results.index, eliud_race_results['diff_2022_ineos'], color=\"Slateblue\",\n", " alpha=0.6, linewidth=2, linestyle='dashed', marker='o', label='Berlin Marathon 2022')\n", "ax1.plot(eliud_race_results.index, eliud_race_results['diff_2018_ineos'], marker='o', linestyle='dashed', label='Berlin Marathon 2018' )\n", "ax1.plot(eliud_race_results.index, eliud_race_results['ineos_159_time_ref'], marker='o', linestyle='dashed', label='INEOS 159 Challenge' )\n", "ax1.set_xlabel('Race Segments(km)', size=12)\n", "ax1.set_ylabel('Seconds behind INEOS 159 WR (2019)', size=12)\n", "ax1.grid()\n", "ax1.legend(loc=0)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Using Kipchoge’s INEO Challenge run as the baseline, Figure above shows the number of seconds each WR run was behind Kipchoge best result at INEOS 159 challenge at the end of each race segment (and at the finish-line) in this virtual race. Kipchoge 2022's result showed an amazing start where by 15k-20km marks , he has ahead from his best result from INEOS for about two seconds, but gradually extends his difference time after the half mark. We can also see that the 2022 vss 2018 previous record, what an amazing difference, finishing with 30 seconds ahead. By any objective measure Kipchoge’s Berlin world-record 2022 race was nothing short of stunning. He obliterated his own previous 2018 record.\n", "\n" ] }, { "cell_type": "code", "execution_count": 229, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
time_2022distance_metersdistance_milestime_ineos_159time_2018diff_2022_ineosdiff_2018_ineosineos_159_time_refdiff_2022_2018pace_2022pace_ineos_159pace_2018
0k0 days 00:00:0000.00000 days 00:00:000 days 00:00:000.00.00.00.0NaTNaTNaT
5k0 days 00:14:1450003.10690 days 00:14:100 days 00:14:244.014.00.0-10.00 days 00:02:50.8000000 days 00:02:500 days 00:02:52.800000
10k0 days 00:28:23100006.21370 days 00:28:200 days 00:29:013.041.00.0-38.00 days 00:02:49.8000000 days 00:02:500 days 00:02:55.400000
15k0 days 00:42:33150009.32060 days 00:42:340 days 00:43:38-1.064.00.0-65.00 days 00:02:500 days 00:02:50.8000000 days 00:02:55.400000
20k0 days 00:56:452000012.42740 days 00:56:470 days 00:57:56-2.069.00.0-71.00 days 00:02:50.4000000 days 00:02:50.6000000 days 00:02:51.600000
half0 days 00:59:512109713.10910 days 00:59:370 days 01:01:0614.089.00.0-75.00 days 00:02:49.5533272560 days 00:02:34.9680948040 days 00:02:53.199635369
25k0 days 01:11:082500015.53430 days 01:10:590 days 01:12:249.085.00.0-76.00 days 00:02:53.4563156550 days 00:02:54.7373815010 days 00:02:53.712528824
30k0 days 01:25:403000018.64110 days 01:25:110 days 01:26:4529.094.00.0-65.00 days 00:02:54.4000000 days 00:02:50.4000000 days 00:02:52.200000
35k0 days 01:40:103500021.74800 days 01:39:230 days 01:41:0347.0100.00.0-53.00 days 00:02:540 days 00:02:50.4000000 days 00:02:51.600000
40k0 days 01:54:534000024.85480 days 01:53:360 days 01:55:3277.0116.00.0-39.00 days 00:02:56.6000000 days 00:02:50.6000000 days 00:02:53.800000
nettime0 days 02:01:094219526.21870 days 01:59:400 days 02:01:3989.0119.00.0-30.00 days 00:02:51.2984054670 days 00:02:45.8314350800 days 00:02:47.198177677
\n", "
" ], "text/plain": [ " time_2022 distance_meters distance_miles time_ineos_159 \\\n", "0k 0 days 00:00:00 0 0.0000 0 days 00:00:00 \n", "5k 0 days 00:14:14 5000 3.1069 0 days 00:14:10 \n", "10k 0 days 00:28:23 10000 6.2137 0 days 00:28:20 \n", "15k 0 days 00:42:33 15000 9.3206 0 days 00:42:34 \n", "20k 0 days 00:56:45 20000 12.4274 0 days 00:56:47 \n", "half 0 days 00:59:51 21097 13.1091 0 days 00:59:37 \n", "25k 0 days 01:11:08 25000 15.5343 0 days 01:10:59 \n", "30k 0 days 01:25:40 30000 18.6411 0 days 01:25:11 \n", "35k 0 days 01:40:10 35000 21.7480 0 days 01:39:23 \n", "40k 0 days 01:54:53 40000 24.8548 0 days 01:53:36 \n", "nettime 0 days 02:01:09 42195 26.2187 0 days 01:59:40 \n", "\n", " time_2018 diff_2022_ineos diff_2018_ineos ineos_159_time_ref \\\n", "0k 0 days 00:00:00 0.0 0.0 0.0 \n", "5k 0 days 00:14:24 4.0 14.0 0.0 \n", "10k 0 days 00:29:01 3.0 41.0 0.0 \n", "15k 0 days 00:43:38 -1.0 64.0 0.0 \n", "20k 0 days 00:57:56 -2.0 69.0 0.0 \n", "half 0 days 01:01:06 14.0 89.0 0.0 \n", "25k 0 days 01:12:24 9.0 85.0 0.0 \n", "30k 0 days 01:26:45 29.0 94.0 0.0 \n", "35k 0 days 01:41:03 47.0 100.0 0.0 \n", "40k 0 days 01:55:32 77.0 116.0 0.0 \n", "nettime 0 days 02:01:39 89.0 119.0 0.0 \n", "\n", " diff_2022_2018 pace_2022 pace_ineos_159 \\\n", "0k 0.0 NaT NaT \n", "5k -10.0 0 days 00:02:50.800000 0 days 00:02:50 \n", "10k -38.0 0 days 00:02:49.800000 0 days 00:02:50 \n", "15k -65.0 0 days 00:02:50 0 days 00:02:50.800000 \n", "20k -71.0 0 days 00:02:50.400000 0 days 00:02:50.600000 \n", "half -75.0 0 days 00:02:49.553327256 0 days 00:02:34.968094804 \n", "25k -76.0 0 days 00:02:53.456315655 0 days 00:02:54.737381501 \n", "30k -65.0 0 days 00:02:54.400000 0 days 00:02:50.400000 \n", "35k -53.0 0 days 00:02:54 0 days 00:02:50.400000 \n", "40k -39.0 0 days 00:02:56.600000 0 days 00:02:50.600000 \n", "nettime -30.0 0 days 00:02:51.298405467 0 days 00:02:45.831435080 \n", "\n", " pace_2018 \n", "0k NaT \n", "5k 0 days 00:02:52.800000 \n", "10k 0 days 00:02:55.400000 \n", "15k 0 days 00:02:55.400000 \n", "20k 0 days 00:02:51.600000 \n", "half 0 days 00:02:53.199635369 \n", "25k 0 days 00:02:53.712528824 \n", "30k 0 days 00:02:52.200000 \n", "35k 0 days 00:02:51.600000 \n", "40k 0 days 00:02:53.800000 \n", "nettime 0 days 00:02:47.198177677 " ] }, "execution_count": 229, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import numpy as np\n", "#compute the distance ellapsed per segment , and convert it to kms\n", "dist_diff = (eliud_race_results[\"distance_meters\"] /1000).diff().fillna(eliud_race_results['distance_meters'][0])\n", "\n", "for timing_race, pace_race in [('time_2022', 'pace_2022'), ('time_ineos_159', 'pace_ineos_159' ), ('time_2018', 'pace_2018')]:\n", " #compute the time ellapsed per segment\n", " time_diff = eliud_race_results[timing_race].diff().fillna(eliud_race_results[timing_race][0]) / np.timedelta64(1, \"s\")\n", " #compute the speed by dividing the split distance and the split time ellapsed and convert it back to timedelta\n", " speed = dist_diff / time_diff\n", " pace_timedelta = pd.to_timedelta(1 / speed, unit=\"s\")\n", " eliud_race_results[pace_race] = pace_timedelta\n", "eliud_race_results" ] }, { "cell_type": "code", "execution_count": 230, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['5k', '10k', '15k', '20k', 'half', '25k', '30k', '35k', '40k', 'nettime']" ] }, "execution_count": 230, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#remove the 0k from the frame, since it doesn't give us any useful information.\n", "eliud_race_results_filtered = eliud_race_results.iloc[1:]\n", "\n", "#Data for visualization\n", "splits = eliud_race_results_filtered.index.tolist()\n", "split_paces = {}\n", "mean_paces = {}\n", "for pace_race in ['pace_2022', 'pace_ineos_159', 'pace_2018']:\n", " #convert the timedelta paces to float and convert it into a list.\n", " split_paces[pace_race] = (eliud_race_results_filtered[pace_race] / datetime.timedelta(minutes=1)).tolist()\n", " #compute the mean pace and convert into a float. Repeats it by the number of splits.\n", " mean_paces[pace_race] = [(eliud_race_results_filtered[pace_race].mean()) / datetime.timedelta(minutes=1)] * 10\n", "splits" ] }, { "cell_type": "code", "execution_count": 231, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([0. , 0.62831853, 1.25663706, 1.88495559, 2.51327412,\n", " 3.14159265, 3.76991118, 4.39822972, 5.02654825, 5.65486678])" ] }, "execution_count": 231, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Obtain Angles for the radar plot\n", "angles=np.linspace(0,2*np.pi,len(splits), endpoint=False)\n", "angles" ] }, { "cell_type": "code", "execution_count": 232, "metadata": {}, "outputs": [], "source": [ "#Completing full circle\n", "\n", "angles=np.concatenate((angles,[angles[0]]))\n", "splits.append(splits[0])\n", "for pace_race in split_paces:\n", " split_paces[pace_race].append(split_paces[pace_race][0])\n", " mean_paces[pace_race].append(mean_paces[pace_race][0])" ] }, { "cell_type": "code", "execution_count": 233, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Simple chart for one race\n", "plt.style.use('ggplot')\n", "\n", "fig=plt.figure(figsize=(6,6))\n", "ax=fig.add_subplot(polar=True)\n", "#basic plot\n", "ax.plot(angles,split_paces['pace_2022'], 'o--', color='g', label='Berlin Marathon 2022')\n", "#fill plot\n", "ax.fill(angles, split_paces['pace_2022'], alpha=0.25, color='g')\n", "#Add labels\n", "ax.set_thetagrids(angles * 180/np.pi, splits)\n", "ax.set_ylim(2.4, 3.0)\n", "\n", "ax.set_yticklabels([str(datetime.timedelta(minutes=x)) if idx % 2 != 0 else '' for idx, x in enumerate(ax.get_yticks()) ], rotation = 45, zorder = 500)\n", "ax.grid(color='#AAAAAA')\n", "plt.grid(True)\n", "plt.tight_layout()\n", "plt.legend()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 250, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Let's combine all the races in the same chart now\n", "\n", "fig=plt.figure(figsize=(12,12))\n", "ax1=fig.add_subplot(121, polar=True)\n", "ax2=fig.add_subplot(122, polar=True)\n", "\n", "#2022 Berlin Plot\n", "ax1.plot(angles,split_paces['pace_2022'], 'o--', color='#1aaf6c', label='Berlin Marathon 2022')\n", "ax1.fill(angles, split_paces['pace_2022'], alpha=0.25, color='#1aaf6c')\n", "\n", "ax2.plot(angles,mean_paces['pace_2022'], 'o--', color='#1aaf6c', label='Berlin Marathon 2022')\n", "ax2.fill(angles, mean_paces['pace_2022'], alpha=0.25, color='#1aaf6c')\n", "\n", "#2018 Berlin Plot\n", "ax1.plot(angles,split_paces['pace_2018'], 'o-', color='#429bf4', linewidth=1, label='Berlin Marathon 2018')\n", "ax1.fill(angles, split_paces['pace_2018'], alpha=0.25, color='#429bf4')\n", "\n", "ax2.plot(angles,mean_paces['pace_2018'], 'o-', color='#429bf4', label='Berlin Marathon 2018')\n", "ax2.fill(angles, mean_paces['pace_2018'], alpha=0.25, color='#429bf4')\n", "\n", "#Ineos 159 Plot\n", "ax1.plot(angles,split_paces['pace_ineos_159'], 'o-', color='#d42cea', linewidth=1, label='INEOS 159')\n", "ax1.fill(angles, split_paces['pace_ineos_159'], alpha=0.25, color='#d42cea')\n", "\n", "ax2.plot(angles,mean_paces['pace_ineos_159'], 'o-', color='#d42cea', label='INEOS 159')\n", "ax2.fill(angles, mean_paces['pace_ineos_159'], alpha=0.25, color='#d42cea')\n", "\n", "ax1.set_thetagrids(angles * 180/np.pi, splits)\n", "ax1.set_ylim(2.4, 3.0)\n", "ax2.set_thetagrids(angles * 180/np.pi, splits)\n", "ax2.set_ylim(2.4, 3.0)\n", "\n", "\n", "ax1.set_yticklabels([str(datetime.timedelta(minutes=x)) if idx % 2 != 0 else '' for idx, x in enumerate(ax1.get_yticks()) ], rotation = 45, zorder = 500)\n", "ax1.grid(color='#AAAAAA')\n", "\n", "ax2.set_yticklabels([str(datetime.timedelta(minutes=x)) if idx % 2 != 0 else '' for idx, x in enumerate(ax2.get_yticks()) ], rotation = 45, zorder = 500)\n", "ax2.grid(color='#AAAAAA')\n", "\n", "\n", "ax1.set_title('Comparing Eliud Kipchogue Pace Splits (min/km) ', y=1.08)\n", "ax2.set_title('Comparing Eliud Kipchogue Mean Pace Splits (min/km) ', y=1.08)\n", "\n", "ax1.grid(True)\n", "ax2.grid(True)\n", "plt.tight_layout()\n", "plt.legend(loc='upper right', bbox_to_anchor=(1.3, 1.1))\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The figure at the left above shows the pacing (in mins/km) for all 3 WRs across each of the segments of the race (5 km, 10 km, …, 40km), and the final 2.195km segment. The second figure at right, the plot reflects the average pace for the races evaluated.\n", "\n", "For those not familiar with this type of chart, we call it radar chart, also called as Spider chart or Web chart. It is a graphical method used for comparing multiple quantitative variables. It is a two dimensional polar visualization.\n", "\n", "\n", "Based on the timing data released by the Berlin Marathon 2022, Kipchoge ran the first 5 km in 14 mins, 14 seconds, or about 2:50 mins/km. Between 5km and 20km he ran between 2:49 min/km and 2:50 min/km, the same pace he did at 159 INEOS challenge. but after the 20km checkpoint he started to slow the pace (the final half of the race), even lower than the 2018 WR Berlin Marathon, but comfortable enough to finish with the WR. Imagine if he could keep the same pace for the second part of the race, it would be amazing to see him at a regular marathon to finish under 2hr mark." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Conclusions" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "By any objective measure Kipchoge’s Berlin world-record 2022 race is considered amazing, setting on the same course, his second record. It is impressive also his performance before the halfway point, with his incredibly pace similar to 159 INEOS challenge. It seems that Kipchoge is the fatest marathoner and we will might see him showing to the world that no human is limited!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### " ] } ], "metadata": { "kernelspec": { "display_name": "Python 3.8.3 ('runpandas_dev')", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.3" }, "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "2a188acd0f27a53b17cfad69c436eac3f19ae51e9e26340e7d32ca2c8c278930" } } }, "nbformat": 4, "nbformat_minor": 2 }