{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Big Data Derby 2022: Statistical model, model of horses positions in course of race, finish line model","metadata":{}},{"cell_type":"markdown","source":"**Abstract**\n\nWe present a statistical evaluation of probabilities to win the race from different relative positions during the race. Probabilities show a chance to win a race at different moments of a race from different relative positions, i.e.for example, a chance to win the race for the first horse in the n-th trakus index. The condition of the course the race was run on influence to results is discussed. \n\nAdditionally, from a model of the stadium and a model of the finish line, we identified, that the tracking table's last trakus index is usually recorded $\\backsim$5 seconds after the last horse crosses the finish line.\n\n**Introduction**\n\nIn the presented analysis we address the next two points with questions from the competition Overview:\n\n* Create a horse rating measuring expected finish position versus actual finish position. How does a horse’s expected finish position change through the running of a race? Does this metric rely solely on a horse’s own position or is it influenced by the position of competitors?\n* What are optimal racing strategies? Considering different venues, surfaces and race distances. Create a jockey rating based upon path efficiency?\n\nThe presented probabilities of the statistical model represent probabilities for expected finish position versus actual finish position and change through the running of a race. This metric represents a statistical evaluation, of how is the relative position of the horse during the race important to win or reach other final positions. This metric statistically describes the importance of positions in the pack during the race. Solely it does not represent the model to predict race results, however, could be the base for such a model.  \n\nTo evaluate the relative positions of each horse (to other horses, i.e. who is first, second, third, etc. at specific trakus index, in other words, real-time rank), we employ models of stadiums and find perpendicular (i.e. minimal) distance of horse to stadium line. Positions at the stadium line show the relative positions of each horse. With relative positions evaluated, we proceed to statistical evaluation.\n\nTo find a chance to win, or chances for any specific final position, the probability to end at \nfinal position $i$, from relative position $j$ (rank in a pack), at trakus index $k$, is $P_{i,j,k}$. Probability is given by the ratio of the number $N_{i,j,k}$ of relative positions $j$, in time $k$, which finish at position $i$, to a number of races $N$.\n\n$P_{i,j,k} = \\frac{N_{i,j,k}}{N}$\n\nthus, for example, $P_{1,2,200}$ is the probability to win from the second position in the race at trakus index 200.\n\nThis metric evaluates chances to win for the horse during the race based on his current relative position in the pack.\n\nTo evaluate $P_{i,j,k}$ we prepared a model of the Aqueduct, Belmont, and Saratoga stadiums (see part Aqueduct racetrack-stadium model). The stadium models are prepared from data taken from Google Earth Pro, simply by creating a polygon of tens points following the shape of the stadium (see first figure is Aqueduct racetrack-stadium model part). Those points are then used to create waypoints on the stadium line, with a distance of 0.1 meters from each other, connecting polygon points. Waypoints are stored in the array, where the index of the array is the distance in decimeters from the first waypoint, and notably index of the array raise in direction of 6-furlong races (most often races). Then, the index of the stadium array could be used to measure distances, which is used for finding a finish line i.e. in model of the finish line of the race.\n\n* Models of Aqueduct Racetrack, Belmont Park and Saratoga Race Course (stadiums) are between Input data \n* Model of the finish line is described in separate chapter\n\n$P_{i,j,k}$ for different condition of the course the race was run on is presented and connected race strategies are discussed in part Statistical model results. \n\nThe notebook run time is relatively long,let us show main result here, with very short description. Details are in following part of notebook. Results for 6 furlong races at Aqueduct Racetrack for all condition, i.e. $P_{i,j,k}$ probabilities evaluated from 271 races, are presentened in the next figure.\n\n![AQU_600_probability_cut.jpg](attachment:d02e385a-9e59-497a-b015-80ce79dac3d2.jpg)\n\nOne could notice that the biggest chance to win a race, has horse in first position, and this is valid statement for the whole race. The relative chances to win are relatively stable in first two thirds of race, and then they start to spread, when horses reach the finishing straight (here, for 6 furlong races at Aqueduct, around trakus index 170).\n\nHowever at the start of the finishing straight (around trakus index 170) summary chances to win from second and third positions are comparable to chances to win from first positions, ~42% to ~37% (see Table 1.).\n\nThe cumulative chance to win from other positions (4th+) at the start of the finish line is relatively small, i.e. there is little chance to win if horse is not on relative position 1-3 when enter the finishing straight (approximately 1:4 to favor relative positions 1-3 to 4+ ).\n\n**General strategy of analysis**\n\nAs a team, we think that regular practice of crosschecking for selected important problems \nby two independent analyses, used in scientific collaborations, is optimal way how \nto proceed also in this competition.\n\nAs a team, we will present two evaluations (two codes in one notebook) of the statistical model of race. The statistical model could be used in later metrics as an important base, thus it is important to crosscheck the statistical model by independent 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"}}},{"cell_type":"code","source":"import csv\nimport matplotlib.pyplot as plt\nfrom matplotlib import cm\nfrom matplotlib.colors import ListedColormap, LinearSegmentedColormap\nimport numpy as np\nimport sys\nimport math","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2022-11-10T12:18:02.831240Z","iopub.execute_input":"2022-11-10T12:18:02.832435Z","iopub.status.idle":"2022-11-10T12:18:02.837233Z","shell.execute_reply.started":"2022-11-10T12:18:02.832391Z","shell.execute_reply":"2022-11-10T12:18:02.836387Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Aqueduct race track-stadium model\n\nThe Aqueduct stadium model is evaluated from a polygon with points on the Aqueduct race track, taken from Google Earth Pro, and stored in the file Aqueduct_stadium_1.csv. The figure shows a screenshot of the Aqueduct Race Track with a white polygon approximating the race track from Google Earth Pro, Credit: “Map data ©2022 Google, Landsat/Copernicus”.\n\n![AQU_polygon.jpg](attachment:2aca2673-6de8-4494-92f5-cc8ee327fdb9.jpg)","metadata":{},"attachments":{"2aca2673-6de8-4494-92f5-cc8ee327fdb9.jpg":{"image/jpeg":"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"}}},{"cell_type":"code","source":"lonAQ = list()\nlatAQ = list()\n\nwith open('../input/track-models/Aqueduct_stadium_1.csv',mode = 'r') as file1:\n    csvFile1 = csv.reader(file1)\n    for lines in csvFile1:\n        lonAQ.append(float(lines[0]))\n        latAQ.append(float(lines[1]))\nns = len(lonAQ)\nfile1.close()","metadata":{"execution":{"iopub.status.busy":"2022-11-10T12:18:02.851994Z","iopub.execute_input":"2022-11-10T12:18:02.852722Z","iopub.status.idle":"2022-11-10T12:18:02.867417Z","shell.execute_reply.started":"2022-11-10T12:18:02.852670Z","shell.execute_reply":"2022-11-10T12:18:02.866549Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Polygon points of the Aqueduct racetrack line are shown in the following figure.","metadata":{}},{"cell_type":"code","source":"farba = cm.get_cmap('rainbow',25)\n\nfig = plt.figure(figsize=(10, 6), dpi=300)\n\nplt.xlabel(\"longitude [deg.]\")\nplt.ylabel(\"latitude [deg.]\")\n\nplt.plot(lonAQ,latAQ)\nfor i in range(0,ns):\n    tem = i/ns\n    plt.scatter(lonAQ[i],latAQ[i],color=farba(tem))\n","metadata":{"execution":{"iopub.status.busy":"2022-11-10T12:18:02.870212Z","iopub.execute_input":"2022-11-10T12:18:02.871009Z","iopub.status.idle":"2022-11-10T12:18:03.883038Z","shell.execute_reply.started":"2022-11-10T12:18:02.870960Z","shell.execute_reply":"2022-11-10T12:18:03.881779Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"The Aqueduct stadium model describes the racetrack as a series of waypoints, i.e. longitudes and latitudes, at lines connecting points loaded from the external file Aqueduct_stadium_1.csv. The distance between waypoints is set to be 10 cm. Waypoints are ordered in the same direction as the direction of horses run in the most frequent type of race, i.e. in 6 furlong races.","metadata":{}},{"cell_type":"code","source":"# length of latitudinal degree in meters\n\nlat2meter = 10000000/90\n\ncolat = math.pi*(90.0 - latAQ[0])/180.0 \nloncorrection = math.sin(colat) \nprint('Longitude degree correction ',loncorrection)\n\nlatAQap = [] # aproximated values of race track \nlonAQap = []\n\nfor i in range(0,ns-1):\n    distlat = latAQ[i+1]-latAQ[i]\n    distlon = (lonAQ[i+1]-lonAQ[i])*loncorrection\n    dist = math.sqrt((distlat*distlat)+(distlon*distlon))\n    #print(i,' ',dist,' ',dist*lat2meter)\n    distnorm = int(dist*lat2meter*10)  # norm to 10 cm\n    # race track division to 10 cm \"waypoints\"\n    dlat = distlat/distnorm\n    dlon = (distlon/loncorrection)/distnorm\n    for j in range(0,distnorm):\n        tem = latAQ[i] + (j*dlat)\n        latAQap.append(tem)\n        tem = lonAQ[i] + (j*dlon)\n        lonAQap.append(tem)\n\n\nn = len(lonAQap)","metadata":{"execution":{"iopub.status.busy":"2022-11-10T12:18:03.884840Z","iopub.execute_input":"2022-11-10T12:18:03.886074Z","iopub.status.idle":"2022-11-10T12:18:03.910803Z","shell.execute_reply.started":"2022-11-10T12:18:03.886021Z","shell.execute_reply":"2022-11-10T12:18:03.909695Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"The next figure shows waypoints in red color on lines of the Aqueduct racetrack polygon. Waypoints are stored in the file AQap.csv.","metadata":{}},{"cell_type":"code","source":"f = open('AQap.csv', \"w\")\nfor i in range(0,n):\n    s = str(lonAQap[i]) + ',' + str(latAQap[i]) + '\\n'\n    f.write(s)\nf.close()\nprint(n)\n\nfig = plt.figure(figsize=(10, 6), dpi=300)\nplt.scatter(lonAQap,latAQap,color='red')\n\nnamefig = 'Aqueduct_racetrack_model.png'\nfig.savefig(namefig, dpi = 300)","metadata":{"execution":{"iopub.status.busy":"2022-11-10T12:18:03.912612Z","iopub.execute_input":"2022-11-10T12:18:03.913073Z","iopub.status.idle":"2022-11-10T12:18:05.764524Z","shell.execute_reply.started":"2022-11-10T12:18:03.913029Z","shell.execute_reply":"2022-11-10T12:18:05.763371Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Initial data processing","metadata":{}},{"cell_type":"code","source":"import pandas as pd\n\nrace = pd.read_csv(\"/kaggle/input/big-data-derby-2022/nyra_race_table.csv\")\ncomplete = pd.read_csv(\"/kaggle/input/big-data-derby-2022/nyra_2019_complete.csv\", low_memory=False, dtype = {5:float,6:float,2:int})\ncomplete.columns =[\"track_id\",\"race_date\",\"race_number\",\"program_number\",\"trakus_index\",\"latitude\",\"longitude\",\"distance_id\",\"course_type\",\"track_condition\",\"run_up_distance\",\"race_type\",\"purse\",\"post_time\",\"weight_carried\",\"jockey\",\"odds\",\"position_at_finish\"]\n\nlonAQ = lonAQap\nlatAQ = latAQap","metadata":{"execution":{"iopub.status.busy":"2022-11-10T12:18:05.768223Z","iopub.execute_input":"2022-11-10T12:18:05.768621Z","iopub.status.idle":"2022-11-10T12:18:26.513969Z","shell.execute_reply.started":"2022-11-10T12:18:05.768586Z","shell.execute_reply":"2022-11-10T12:18:26.512603Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Compute relative positions (rank) for an analyzed track and write output to files\n\nTo get the relative positions of horses during the race, we first evaluated the perpendicular projection of horse position to the stadium model. Perpendicular projection gives us a waypoint from the stadium model array, which is most close to the horse position, from all waypoints of the stadium model. The main task here is to find most close waypoint to the horse's position.\n\nWhen we find the closest waypoints for all horses in the selected trakus index, we could easily find their relative positions, because waypoints are ordered in an array in direction of the race. Thus bigger index of the array means a higher position in the race.","metadata":{}},{"cell_type":"code","source":"from collections import deque\n\nlat2meter = 10000000/90\n\ncolat = math.pi*(90.0 - latAQ[0])/180.0\nloncorrection = math.sin(colat) \n\ndef midpoint_optimization(k, startPoint, endPoint, latAQ, lonAQ, latitude2D, longitude2D):\n    distlat = latAQ[startPoint]-latitude2D\n    distlon = (lonAQ[startPoint]-longitude2D)*loncorrection \n    distStart = math.sqrt((distlat*distlat)+(distlon*distlon))*lat2meter\n    \n    distlat = latAQ[endPoint]-latitude2D\n    distlon = (lonAQ[endPoint]-longitude2D)*loncorrection \n    distEnd = math.sqrt((distlat*distlat)+(distlon*distlon))*lat2meter\n    \n    \n    if endPoint - startPoint == 1:\n        if distStart > distEnd:\n            #print(k, startPoint, endPoint, distStart, distEnd)\n            return endPoint\n        else:\n            #print(k, startPoint, endPoint, distStart, distEnd)\n            return startPoint\n    elif distStart > distEnd:\n        return midpoint_optimization(math.floor((endPoint - k)/2)+k, k, endPoint, latAQ, lonAQ, latitude2D, longitude2D)\n    elif distStart < distEnd:\n        return midpoint_optimization(math.floor((k - startPoint)/2)+startPoint, startPoint, k, latAQ, lonAQ, latitude2D, longitude2D)\n    else:\n        return k\n   \n\ndef compute_pos_and_write(analyzed_track, uID):\n    #prepare variables\n    maxposition = max(analyzed_track[\"position_at_finish\"].unique())\n    trakusmax = max(analyzed_track[\"trakus_index\"].unique())\n    \n    minlat = min(analyzed_track[\"latitude\"])\n    maxlat = max(analyzed_track[\"latitude\"])\n    difflat = 0.1*(maxlat-minlat)\n    minlat = minlat - difflat\n    maxlat = maxlat + difflat\n    minlon = min(analyzed_track[\"longitude\"])\n    maxlon = max(analyzed_track[\"longitude\"])\n    difflon = 0.1*(maxlon-minlon)\n    nhorses = max(analyzed_track[\"position_at_finish\"])\n\n    ntime,npos = (trakusmax+1,maxposition+1)\n\n    latitude2D = [[0 for j in range(ntime)] for i in range(npos)]\n    longitude2D = [[0 for j in range(ntime)] for i in range(npos)]\n    raceposition2D = [[0 for j in range(ntime)] for i in range(npos)]\n    v2D = [[0 for j in range(ntime)] for i in range(npos)]\n    raceposition2Dorder = [[1 for j in range(ntime)] for i in range(npos)]\n    odds2D = [[0 for j in range(ntime)] for i in range(npos)]\n\n    for index, row in analyzed_track.iterrows():\n        n = row[\"trakus_index\"]\n        m = row[\"position_at_finish\"]\n        #print(m,'   ',n)\n        latitude2D[m][n] = row[\"latitude\"]\n        longitude2D[m][n] = row[\"longitude\"]\n        odds2D[m][n] = row[\"odds\"]\n\n\n    raceposition = [0]*ns\n    v = [0]*ns\n\n    ns1 = len(lonAQ)\n    #print(ns1)\n    for i in range(1,npos):\n        for j in range(0,ntime):\n            if j>1:\n                temlat = latitude2D[i][j] - latitude2D[i][j-1]\n                temlat = temlat*temlat\n                temlon = (longitude2D[i][j] - longitude2D[i][j-1])*loncorrection\n                temlon = temlon*temlon\n                v2D[i][j] = math.sqrt(temlat+temlon)*lat2meter/0.25\n            mindist = 10000    # in meters\n            twoMinK = deque([0]*2,maxlen=2)\n            twoMinDist = deque([10000]*2,maxlen=2)\n            #print(\"-------------------------------------------\")\n            for k in range(0, ns1, 400):\n                distlat = latAQ[k]-latitude2D[i][j]\n                distlon = (lonAQ[k]-longitude2D[i][j])*loncorrection \n                dist = math.sqrt((distlat*distlat)+(distlon*distlon))*lat2meter\n                if dist < twoMinDist[0]:\n                    twoMinDist.append(dist)\n                    twoMinK.append(k)\n                    #print(\"[0]\", twoMinDist, twoMinK)\n                elif dist < twoMinDist[1]:\n                    twoMinDist.append(dist)\n                    twoMinK.append(k)\n                    #print(\"[1]\", twoMinDist, twoMinK)\n            k = midpoint_optimization(math.floor((twoMinK[1]+1 - twoMinK[0])/2 + twoMinK[0]), twoMinK[0], twoMinK[1]+1, latAQ, lonAQ, latitude2D[i][j], longitude2D[i][j])\n            raceposition2D[i][j] = k\n\n    for j in range(0,ntime):\n        for i in range(1,npos):\n            for k in range(1,npos):\n                if raceposition2D[i][j]<raceposition2D[k][j]:\n                    raceposition2Dorder[i][j] = raceposition2Dorder[i][j] + 1\n\n    name = '/kaggle/working/races_positions_v4/'\n    name = name + uID + '_positions_v.csv'\n\n    import os\n    os.makedirs(\"/kaggle/working/races_positions_v4/\",exist_ok=True) \n\n    #fig = plt.figure(figsize=(10, 6), dpi=300)\n    with open(name, \"w\") as f:\n        for i in range(1,npos):\n            for j in range(0,ntime):\n                s = str(i) + ',' + str(j) + ',' + str(longitude2D[i][j]) + ',' + str(latitude2D[i][j]) + ',' + str(raceposition2D[i][j]) + ',' + str(raceposition2Dorder[i][j]) + ','  + str(v2D[i][j]) + ',' + str(odds2D[i][j])\n                f.write(s + \"\\n\")\n\n    # Two examples of 6 furlong Aqueduct races\n    #if uID == 'AQU_2019-01-01_2' or  uID == 'AQU_2019-01-01_6':\n        \n\n    \"\"\"sdt = 50.  # screenshots delta t\n    tem1 = int(ntime/sdt)\n    for j in range(0,tem1):\n        fig = plt.figure(figsize=(10, 6), dpi=300)\n        # stadium \n        plt.plot(lonAQ,latAQ,color='black')\n        cas = int(j*sdt)\n        if j==0:\n            cas = 1\n        for i in range(1,npos):\n            tem = i/maxposition\n            plt.scatter(longitude2D[i][cas],latitude2D[i][cas],color=farba(tem))\n        plt.xlabel(\"longitude\")\n        plt.ylabel(\"latitude\")\n        stitle = 'trakus index = ' + str(cas)\n        plt.title(stitle)\n        plt.xlim(minlon - (difflon * 1),maxlon + (difflon * 5))\n        plt.ylim(minlat,maxlat)\n        namefig = '/kaggle/working/races_positions_v4/' + uID + '_screen_' + str(cas) + '.png'\n        fig.savefig(namefig, dpi = 300)\"\"\"","metadata":{"execution":{"iopub.status.busy":"2022-11-10T12:18:26.517455Z","iopub.execute_input":"2022-11-10T12:18:26.518173Z","iopub.status.idle":"2022-11-10T12:18:26.553485Z","shell.execute_reply.started":"2022-11-10T12:18:26.518136Z","shell.execute_reply":"2022-11-10T12:18:26.552403Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Statistical analysis: Process all races\n\nWe have determined the relative positions (rank) of every horse for all trakus indexes in every race at Aqueduct. Now we could proceed to statistical analysis, to find out chances to win the race from different relative positions at different stages of the race.\n\nWe evaluate, for every trakus index, what is the probability to win the race from the current position, i.e. probability $P_{1,j,k}$.","metadata":{}},{"cell_type":"code","source":"# odkomentovat nasledujuci riadok, nateraz to skracuje vypocet ale nepocita vsetky preteky a substituovat: aqu_600_temp -> complete\naqu_600_temp = complete[(complete['track_id'] == \"AQU\") & (complete['distance_id'] == 600)]\n\ntracks = aqu_600_temp['track_id'].unique()\nfor track in tracks:\n    analyzed_track_A = aqu_600_temp[aqu_600_temp['track_id'] == track]\n    race_dates = analyzed_track_A['race_date'].unique()\n    for race_date in race_dates:\n        analyzed_track_B = analyzed_track_A[analyzed_track_A['race_date'] == race_date]\n        race_numbers = analyzed_track_B['race_number'].unique()\n        for race_number in race_numbers:\n            analyzed_track_C = analyzed_track_B[analyzed_track_B['race_number'] == race_number]\n            uID = track + \"_\" +  race_date + \"_\" + str(race_number)\n            #print(uID,\"--------------------------------------------------\")\n            compute_pos_and_write(analyzed_track_C, uID)\n            #sys.exit()","metadata":{"execution":{"iopub.status.busy":"2022-11-10T12:18:26.554922Z","iopub.execute_input":"2022-11-10T12:18:26.556113Z","iopub.status.idle":"2022-11-10T12:19:48.091317Z","shell.execute_reply.started":"2022-11-10T12:18:26.556068Z","shell.execute_reply":"2022-11-10T12:19:48.090081Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Two examples of 6 furlong Aqueduct races\n\nHere we present examples of evaluated relative positions for two randomly selected races. Figures show relative positions during the races for different final positions. \n\nIn the upper figure (for AQU_2019-01-01_2) of relative positions, we could see a race where the first three horses run in the same relative positions almost during the whole race, i.e. winner was first from start to finish line, the second one keep his position and same was valid for the third horse.  \n\nIn the bottom figure (for AQU_2019-01-01_6) of relative positions, we could see a different situation, where the second final position was reached from the fifth position in the first ~30% of the race. Horse finishing last, at 7th final position lead pack in the first and second relative position in the first ~30% of the race. ","metadata":{}},{"cell_type":"code","source":"#if uID == 'AQU_2019-01-01_2' or  uID == 'AQU_2019-01-01_6':\nfrom pandas.plotting import andrews_curves\n\ndef draw(uID):\n    positions = pd.read_csv('/kaggle/working/races_positions_v4/' + uID + '_positions_v.csv')\n    positions.columns = [\"i\", \"j\", \"longitude2D\", \"latitude2D\", \"raceposition2D\", \"raceposition2Dorder\", \"v2D\", \"odds2D\"]\n    maxposition = positions[\"i\"].max()\n    trakusmax = positions[\"j\"].max()\n\n    ##########################\n    fig = fig = plt.figure(figsize=(10, 6), dpi=300)\n    \n    for i in positions[\"i\"].unique():\n        tem = i / maxposition\n        plt.scatter(positions[positions[\"i\"]==i][\"j\"],positions[positions[\"i\"]==i][\"v2D\"], color=farba(tem), label = str(i) + \".\")\n\n        \n    plt.xlabel(\"Trakus index [0.25 s]\")\n    plt.ylabel(\"Velocity [m/s]\")\n\n    plt.legend(title='Final position', loc='lower left',fontsize=7,title_fontsize=8,bbox_to_anchor=(0., 1.02, 1., .102),ncol=7, mode=\"expand\", borderaxespad=0.)\n\n    namefig = '/kaggle/working/races_positions_v4/' + uID + '_v.png'\n    display(fig)\n    fig.savefig(namefig, dpi = 300)\n    plt.clf()\n    plt.close(\"all\")\n########################################################\n    fig = plt.figure(figsize=(7, 3), dpi=300)\n    \n    for i in positions[\"i\"].unique():\n        tem = i / maxposition\n        plt.plot(positions[positions[\"i\"]==i][\"j\"],positions[positions[\"i\"]==i][\"raceposition2Dorder\"], color=farba(tem), label = str(i) + \".\")\n        \n    plt.xlabel(\"Trakus index [0.25 s]\")\n    plt.ylabel(\"Relative position\")\n    plt.ylim(0,maxposition+1)\n    plt.legend(title='Final position', loc='lower left',fontsize=7,title_fontsize=8,bbox_to_anchor=(0., 1.02, 1., .102),\n                ncol=7, mode=\"expand\", borderaxespad=0.)\n\n    namefig = '/kaggle/working/races_positions_v4/' + uID + '_positions.png'\n    display(fig)\n    fig.savefig(namefig, dpi = 300)\n    plt.clf()\n    plt.close(\"all\")\n\n\ndraw('AQU_2019-01-01_2')\ndraw('AQU_2019-01-01_6')","metadata":{"execution":{"iopub.status.busy":"2022-11-10T12:19:48.092950Z","iopub.execute_input":"2022-11-10T12:19:48.093325Z","iopub.status.idle":"2022-11-10T12:19:52.293384Z","shell.execute_reply.started":"2022-11-10T12:19:48.093265Z","shell.execute_reply":"2022-11-10T12:19:52.292067Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## The probability distribution for all 6 furlong races on AQU \n\nFirst, we select from all races at Aqueduct Race Track stadium the most common one, 6 furlongs long, which gives us 271 races. Then we create probability distribution array-histogram, to show how are probabilities $P_{1,j,k}$ distributed with time (k, trakus index) and relative positions (j, i.e. rank).\n","metadata":{}},{"cell_type":"code","source":"def prepare_probability_data(AQU_600):\n    namefile = []\n    tracks = AQU_600['track_id'].unique()\n    for track in tracks:\n        analyzed_track_A = AQU_600[AQU_600['track_id'] == track]\n        race_dates = analyzed_track_A['race_date'].unique()\n        for race_date in race_dates:\n            analyzed_track_B = analyzed_track_A[analyzed_track_A['race_date'] == race_date]\n            race_numbers = analyzed_track_B['race_number'].unique()\n            for race_number in race_numbers:\n                uID = track + \"_\" +  race_date + \"_\" + str(race_number)\n                namefile.append(\"/kaggle/working/races_positions_v4/\" + uID + '_positions_v.csv')\n    ns = len(namefile)\n    print(ns)\n\n    ntrakusmax = 400\n    #ntrakusmax = 500\n    histogram2D = [[0 for j in range(ntrakusmax)] for i in range(20)]\n    histogram2DTM1 =  [[0 for j in range(ntrakusmax)] for i in range(20)]  # 2D histogram for Toy Model 1\n\n    for kk in range(0,ns):\n        #print(namefile[kk])\n        n = 0\n        maxposition = 0\n        trakusmax = 0\n        with open(namefile[kk],mode='r') as file:\n            csvFile = csv.reader(file)\n            for lines in csvFile:\n                if int(lines[0])>=maxposition:\n                    maxposition = int(lines[0])\n                if int(lines[1])>=trakusmax:\n                    trakusmax = int(lines[1])\n                n = n + 1\n\n        ntime,npos = (trakusmax+1,maxposition+1)\n\n        latitude2D = [[0 for j in range(ntime)] for i in range(npos)]\n        longitude2D = [[0 for j in range(ntime)] for i in range(npos)]\n        raceposition2D = [[0 for j in range(ntime)] for i in range(npos)]\n        v2D = [[0 for j in range(ntime)] for i in range(npos)]\n        raceposition2Dorder = [[1 for j in range(ntime)] for i in range(npos)]\n        odds2D = [[0 for j in range(ntime)] for i in range(npos)]\n\n        with open(namefile[kk],mode='r') as file:\n            csvFile = csv.reader(file)\n            for lines in csvFile:\n                i = int(lines[0])\n                j = int(lines[1])\n                longitude2D[i][j] = float(lines[2])\n                longitude2D[i][j] = float(lines[3])\n                raceposition2D[i][j] = lines[4]\n                raceposition2Dorder[i][j] = int(lines[5])\n                v2D[i][j] = float(lines[6])\n                odds2D[i][j] = float(lines[7])\n\n    # relative positions ratio of winning horse during race\n        for j in range(0,ntime):\n            i = raceposition2Dorder[1][j]              # relative positions for winner of the race\n            if j<ntrakusmax:\n                histogram2D[i][j] = histogram2D[i][j] + 1\n    return (histogram2D, ns)","metadata":{"execution":{"iopub.status.busy":"2022-11-10T12:19:52.295041Z","iopub.execute_input":"2022-11-10T12:19:52.295448Z","iopub.status.idle":"2022-11-10T12:19:52.313986Z","shell.execute_reply.started":"2022-11-10T12:19:52.295412Z","shell.execute_reply":"2022-11-10T12:19:52.312886Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Draw the probability distribution\n\nWe show probability distribution in percent in two forms. As two dimensional heatmap and as probability evolution with time for different relative positions. They show the same, but allow us to see inspected situation more clearly.","metadata":{}},{"cell_type":"code","source":"import matplotlib as mpl\n\ndef draw_probability_histogram(farba, histogram2D, ns):\n    print('Probabilities to win from different relative positions from trakus index 170')\n    print('relative_position  trakus_index  probability_in_percent')\n    for i in range(1,10):\n        print(i,' ',170,' ',100.*histogram2D[i][170]/ns)\n\n    fig = plt.figure(figsize=(6, 3), dpi=300)\n    ax = plt.gca()\n    X, Y = np.meshgrid( np.arange(0, len(histogram2D[i]), 1), np.arange(0, 20, 1))\n    ax.pcolormesh(X, Y, histogram2D, cmap=farba)\n\n    norm = mpl.colors.Normalize(vmin=0, vmax=100)\n    fig.colorbar(mpl.cm.ScalarMappable(norm=norm, cmap=farba),\n                 #cax=ax,\n                 orientation='vertical', label='Probability [%]')\n\n    plt.xlabel(\"Trakus index [0.25 s]\")\n    plt.ylabel(\"Relative position\")\n    plt.xlim(0,300)\n    plt.ylim(0.5,9.5)\n    plt.yticks(np.arange(1, 10, 1))\n\n    namefig = 'position_histogram_AQU_600_v1.png'\n    display(fig)\n    fig.savefig(namefig, dpi = 300)\n    plt.clf()\n    plt.close(\"all\")\n\n\ndef draw_probability_lines(farba, histogram2D, ns):\n    fig = plt.figure(figsize=(5, 3), dpi=300)\n\n    x = [0]*2\n    y = [0]*2\n\n    for i in range(1,10):\n        tem = i/10\n        plt.plot(100*(np.array(histogram2D[i])/ns),color=farba(tem), label=str(i), lw=0.5)\n\n    plt.legend(title='Relative position',loc='upper left',fontsize=7)\n\n    plt.xlabel(\"Trakus index [0.25 s]\")\n    plt.ylabel(\"Probability [%]\")\n    plt.xlim(0,300)\n\n    namefig = 'position_histogram_AQU_600_cuts_v1.png'\n    display(fig)\n    fig.savefig(namefig, dpi = 300)\n    plt.clf()\n    plt.close(\"all\")\n\nAQU_600 = complete[(complete['track_id'] == \"AQU\") & (complete['distance_id'] == 600)]\n(histogram2D, ns) = prepare_probability_data(AQU_600)\ndraw_probability_histogram(farba, histogram2D, ns)\ndraw_probability_lines(cm.get_cmap('rainbow',250), histogram2D, ns)","metadata":{"execution":{"iopub.status.busy":"2022-11-10T12:19:52.315732Z","iopub.execute_input":"2022-11-10T12:19:52.316444Z","iopub.status.idle":"2022-11-10T12:20:02.217851Z","shell.execute_reply.started":"2022-11-10T12:19:52.316407Z","shell.execute_reply":"2022-11-10T12:20:02.216940Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Statistical model results\n\nThe upper two figures show probability distribution $P_{1,j,k}$ for the winning horse in different moments of the race (i.e. as a function of the trakus index), for 6 furlong races at Aqueduct. The probability to win from the first position in the pack is in dark blue, the probability to finish in the second position in blue, the third in light blue, etc.\n\nWhat Figure tells us :\n\nThe biggest chance to win a race has the horse in the first position, and this is a valid statement for the whole race. The relative chances to win are relatively stable in the first two-thirds of the race, and then they start to spread when horses reach the finishing straight (here, for 6 furlong races at Aqueduct, around trakus index 170).\n\nHowever at the start of the finishing straight (around trakus index 170) summary chances to win from second and third positions are comparable to chances to win from first positions, ~42% to ~37% (see Table 1.).\n\nThe cumulative chance to win from other positions (4th+) at the start of the finish line is relatively small, i.e. there is little chance to win if the horse is not on relative position 1-3 when entering the finishing straight (approximately 1:4 to favor relative positions 1-3 to 4+ ).\n\nThe figure also shows, that the first position rank at the start of the finishing straight was usually gained relatively soon in the race i.e. immediately after the start and in the first 1-2 furlongs, which means the first moments of the race are important to get the first position for the sprint.\n\nWe could also notice that probability $P_{i,j,k}$ does not reach 100% at the end of the race. The reason is that races have different average speeds and the finish line is reached in different trakus indexes. \n\nWe could ask, \"How is the situation presented in probability Figure, which is average from almost three hundred races, depending on track condition?\n\nFirst, let's look at fast conditions (course type FT). ","metadata":{}},{"cell_type":"code","source":"AQU_600_FT = complete[(complete['track_id'] == \"AQU\") & (complete['distance_id'] == 600) & (complete['track_condition'] == \"FT \")]\n\n(histogram2D, ns) = prepare_probability_data(AQU_600_FT)\ndraw_probability_histogram(farba, histogram2D, ns)\ndraw_probability_lines(cm.get_cmap('rainbow',250), histogram2D, ns)","metadata":{"execution":{"iopub.status.busy":"2022-11-10T12:20:02.219466Z","iopub.execute_input":"2022-11-10T12:20:02.220089Z","iopub.status.idle":"2022-11-10T12:20:07.906598Z","shell.execute_reply.started":"2022-11-10T12:20:02.220055Z","shell.execute_reply":"2022-11-10T12:20:07.905595Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Now we could look to a situation where we expect a slow race. This could be represented by muddy conditions. Then we get the following results.","metadata":{}},{"cell_type":"code","source":"AQU_600_MY = complete[(complete['track_id'] == \"AQU\") & (complete['distance_id'] == 600) & (complete['track_condition'] == \"MY \")]\n\n(histogram2D, ns) = prepare_probability_data(AQU_600_MY)\ndraw_probability_histogram(farba, histogram2D, ns)\ndraw_probability_lines(cm.get_cmap('rainbow',250), histogram2D, ns)","metadata":{"execution":{"iopub.status.busy":"2022-11-10T12:20:07.909109Z","iopub.execute_input":"2022-11-10T12:20:07.909559Z","iopub.status.idle":"2022-11-10T12:20:10.017041Z","shell.execute_reply.started":"2022-11-10T12:20:07.909515Z","shell.execute_reply":"2022-11-10T12:20:10.015953Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"There are only 13 six furlong races at AQU, however, we see a clear indication that the situation here is in favor of the first horse. A slow surface means bigger chances to win from 1st position. \n\nWe could group all slow surfaces, namely YL - Yielding, SY - Sloppy, and  MY - Muddy. The results presented down-here, again support the conclusion that at slow surfaces is better to be in leading positions. The probability to win a race at trakus index 170 (start of finishing straight) of the first horse, versus summed probabilities of the second and third horse is  41 percent versus 31 percent. We can compare it with fast surfaces, where the first horse has the probability to win 39 percent and the summary probability of the second and third is 47 percent.\n\nSummarized in the next table describing the probabilities to win from different relative positions at trakus index 170 for different race track surfaces  (i.e. probability $P_{1,j,170}$ for $j = 1,2,3,4,5$).  \n\n![table_1.png](attachment:f637c828-a4ff-4246-a585-0c17d43eef97.png)\n\nWe could conclude that on a fast surface, the chances to win from the first three positions at the start of finishing straight, are higher than on a slow surface. Also, the chances to win for the third and second horse at the start of finishing straight are higher on a fast surface. \n\n","metadata":{},"attachments":{"f637c828-a4ff-4246-a585-0c17d43eef97.png":{"image/png":"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"}}},{"cell_type":"code","source":"AQU_600_SL = complete[(complete['track_id'] == \"AQU\") & (complete['distance_id'] == 600) & (complete['track_condition'] != \"FM \") & (complete['track_condition'] != \"FT \") & (complete['track_condition'] != \"GD \")]\n\n(histogram2D, ns) = prepare_probability_data(AQU_600_SL)\ndraw_probability_histogram(farba, histogram2D, ns)\ndraw_probability_lines(cm.get_cmap('rainbow',250), histogram2D, ns)    \n\n    ","metadata":{"execution":{"iopub.status.busy":"2022-11-10T12:20:10.018915Z","iopub.execute_input":"2022-11-10T12:20:10.019253Z","iopub.status.idle":"2022-11-10T12:20:13.368843Z","shell.execute_reply.started":"2022-11-10T12:20:10.019215Z","shell.execute_reply":"2022-11-10T12:20:13.367818Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Finish line model\n\nHere we present a model of the position of the finish line of the race track. The stadium model shown and explained in part *Aqueduct race track-stadium model* allows the creation of a simple model to determine a finish line position.\n\nHorses at first trakus index stand close to the start line. Precisely they stay at a small distance from the start line called run-up distance, let's sign it as  $run_{up}$. Then, the finish line is for $X$ furlong race at distance $X+run_{up}$ from the start line.\n\nTaking into account how the model of the stadium is prepared, where the index of the stadium model array show distance in decimeters, then the index of any horse at first trakus is position on the stadium model where horses start the race. If we add to this array index value $X+run_{up}$ in decimeters we get the array index value for the position of the finish line at the stadium model.\n\nWith the finish line model, we could check, if the horse's finishing position agrees with the evaluated relative positions at the finish line.","metadata":{}},{"cell_type":"code","source":"\"\"\"\nracelength = 600 * 201.168 * 10 / 100.  # length of race in decimeters  \ntemStart = racelength + raceposition2D[1][1] + (run_up_distance[kk]*3.048) \n# 12070 decimeters = 6 furlongs, feet = 3.048 decimeters\n\"\"\"\ndef determine_track_end(AQU_600):\n    flmY = 0\n    flmN = 0\n    flmT = 0\n    histEnd = [0]*500\n    histEndTotal = 0\n    run_up_distance = []\n    namefile = []\n    tracks = AQU_600['track_id'].unique()\n    for track in tracks:\n        analyzed_track_A = AQU_600[AQU_600['track_id'] == track]\n        race_dates = analyzed_track_A['race_date'].unique()\n        for race_date in race_dates:\n            analyzed_track_B = analyzed_track_A[analyzed_track_A['race_date'] == race_date]\n            race_numbers = analyzed_track_B['race_number'].unique()\n            for race_number in race_numbers:\n                uID = track + \"_\" +  race_date + \"_\" + str(race_number)\n                namefile.append(\"/kaggle/working/races_positions_v4/\" + uID + '_positions_v.csv')\n                run_up_distance.append(analyzed_track_B[analyzed_track_B[\"race_number\"] == race_number][\"run_up_distance\"].unique()[0])\n    ns = len(namefile)\n    print('Number of analysed races : ',ns)\n    print('First 10 races:  horse position verification at the finish line')\n    print('OK for positive identification')\n    print('NOT if evaluated relative positions at the finish line is different than the final position')\n\n    for kk in range(0,ns):\n        #print(namefile[kk])\n        n = 0\n        maxposition = 0\n        trakusmax = 0\n        with open(namefile[kk],mode='r') as file:\n            csvFile = csv.reader(file)\n            for lines in csvFile:\n                if int(lines[0])>=maxposition:\n                    maxposition = int(lines[0])\n                if int(lines[1])>=trakusmax:\n                    trakusmax = int(lines[1])\n                n = n + 1\n\n        ntime,npos = (trakusmax+1,maxposition+1)\n\n        raceposition2D = [[0 for j in range(ntime)] for i in range(npos)]\n        raceposition2Dorder = [[1 for j in range(ntime)] for i in range(npos)]\n\n        with open(namefile[kk],mode='r') as file:\n            csvFile = csv.reader(file)\n            for lines in csvFile:\n                i = int(lines[0])\n                j = int(lines[1])\n                raceposition2D[i][j] = int(lines[4])\n                raceposition2Dorder[i][j] = int(lines[5])\n################\n                temStart = 12070 + raceposition2D[1][1] + (run_up_distance[kk]*3.048) # 12070 decimeters = 6 furlongs, feet = 3.048 decimeters\n                if raceposition2D[i][j] > temStart-21 and  raceposition2D[i][j] < temStart+21:\n                    if i != raceposition2Dorder[i][j]:\n                        if kk<11:\n                            #print('NOT ',namefile[kk],' ',i,' ',raceposition2Dorder[i][j],' ',j,' ',temStart,' ',raceposition2D[i][j],' ',trakusmax)\n                            print('NOT ',namefile[kk],' ',i,' ',raceposition2Dorder[i][j],' ',j,' ',trakusmax,'',trakusmax-j)\n                        if maxposition==raceposition2Dorder[i][j]:\n                            temi = trakusmax-j\n                            histEnd[temi] = histEnd[temi] + 1\n                            histEndTotal = histEndTotal + 1 \n                        if i<2:\n                            flmT = flmT + 1\n                            flmN = flmN + 1\n                    if i == raceposition2Dorder[i][j]:\n                        if kk<11:\n                            #print('OK ',namefile[kk],' ',i,' ',raceposition2Dorder[i][j],' ',j,' ',temStart,' ',raceposition2D[i][j],' ',trakusmax)\n                            print('OK ',namefile[kk],' ',i,' ',raceposition2Dorder[i][j],' ',j,' ',trakusmax,' ',trakusmax-j)\n                        if maxposition==raceposition2Dorder[i][j]:\n                            temi = trakusmax-j\n                            histEnd[temi] = histEnd[temi] + 1\n                            histEndTotal = histEndTotal + 1\n                        if i<2:\n                            flmT = flmT + 1\n                            flmY = flmY + 1\n    print('Histogram')\n    print('Number of records after last horse crosses finish line :: histogram percents ')\n    for i in range(0,50):\n        if histEnd[i]>0:\n            print(i,' ',100*histEnd[i]/histEndTotal,' [%]')\n    return (flmY, flmN, flmT)\n(flmY, flmN, flmT) = determine_track_end(AQU_600)\nprint('Number of correct identifications ',flmY,' | Number of incorrect identifications ', flmN,' | Number of identifications ', flmT)","metadata":{"execution":{"iopub.status.busy":"2022-11-10T12:20:13.372709Z","iopub.execute_input":"2022-11-10T12:20:13.373049Z","iopub.status.idle":"2022-11-10T12:20:22.759290Z","shell.execute_reply.started":"2022-11-10T12:20:13.373019Z","shell.execute_reply":"2022-11-10T12:20:22.757984Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"We could see, that the model select the finish line for winning horses well in 93 percent of cases. We work on the improvement of this model.\n\n\n**When we look at the trakus index, when the last horse crosses the finish line, it seems, that records of the race often end 19-21 trakus indexes later (in 77% of cases, see histogram up here and the last column of races list from the previous cell ). The trakus device often stops recording approximately 20 trakus indexes ($\\backsim$5 seconds) after the last horse reaches the finish line.**","metadata":{}},{"cell_type":"markdown","source":"# Alternative/cross-checking approach\n\nTo address the problem with $P_{i,j,k}$ not reaching 100% at the end of the race shown in the previous part of the notebook we are working on the alternative evaluation of probability. In this alternative approach, we pair probabilities counting from the finish line backward. The approach is applied in cross-checking version of the model, which crosschecks a couple of algorithms used in the previous part of the notebook, namely\n\n* evaluation of distances by solution from the library h3\n* alternative scheme for searching for the perpendicular (minimal) distance between horse and stadium model points\n\nNote: the second approach runs much longer than the first one.","metadata":{}},{"cell_type":"code","source":"!pip install h3\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nimport os\nfrom matplotlib import cm\nimport matplotlib.pyplot as plt\nimport seaborn as sns #graphing\nimport h3\nimport time, os","metadata":{"execution":{"iopub.status.busy":"2022-11-10T12:20:22.761137Z","iopub.execute_input":"2022-11-10T12:20:22.761695Z","iopub.status.idle":"2022-11-10T12:20:33.578215Z","shell.execute_reply.started":"2022-11-10T12:20:22.761656Z","shell.execute_reply":"2022-11-10T12:20:33.576991Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"aqap = pd.read_csv(\"../input/aqueaduct-stadium-model-approximated-v2/AQap_v2.csv\")\naqap.columns = [ \"longitude\", \"latitude\"]\naqap.tail()","metadata":{"execution":{"iopub.status.busy":"2022-11-10T12:20:33.580112Z","iopub.execute_input":"2022-11-10T12:20:33.580562Z","iopub.status.idle":"2022-11-10T12:20:33.610415Z","shell.execute_reply.started":"2022-11-10T12:20:33.580515Z","shell.execute_reply":"2022-11-10T12:20:33.609601Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"\"\"\"\n# Get horses data [program_number, lat, lon, position] and sort them based on position,\n# position is determined based on distance from stadium location points\n\"\"\"\ndef get_position_data(curr_datas, aqap):\n    middle_idx = get_probable_middle_idx(curr_datas.iloc[0].latitude, curr_datas.iloc[0].longitude, aqap)\n    possible_aqap_positions = aqap[middle_idx-200:middle_idx+800:3]\n    position_data = curr_datas[['program_number', 'latitude', 'longitude']].copy()\n    idxes = []\n    # traverse through all horses at specific trakus time\n    for i in range(len(curr_datas)):\n        curr = curr_datas.iloc[i]\n        min_idx = get_idx_of_aqap_idx2(curr.latitude, curr.longitude, possible_aqap_positions)\n        idxes.append(min_idx)\n        \n        if min_idx > middle_idx+798:\n            print('possible problem', min_idx, middle_idx+800)\n    position_data.loc[:,'positions'] = idxes\n    sorted_position_data = position_data.sort_values('positions', ascending=False)\n    return sorted_position_data\n\n\"\"\"\n# Get index in array of filtered aqap with minimal distance from specified lat-lon point \n\"\"\"\ndef get_idx_of_aqap_idx2(lat, lon, filtered_aqap_data):\n    prev_distance = 10000\n    for idx in range(0, len(filtered_aqap_data), 2):\n        coords_1 = (filtered_aqap_data.iloc[idx].latitude, filtered_aqap_data.iloc[idx].longitude)\n        coords_2 = (lat, lon)\n        distance_in_m = h3.point_dist(coords_1, coords_2, unit='m') # to get distance in meters\n        if prev_distance > distance_in_m:\n            prev_distance = distance_in_m\n        else:\n            return idx\n    return len(filtered_aqap_data)\n\n\"\"\"\n# Fast method to determine approximate point in aqap stadium points array with lowest distance from lat-lon point\n\"\"\" \ndef get_probable_middle_idx(lat, lon, aqap):\n    step = 80\n    distances = []\n    for idx in range(0, len(aqap), step):\n        coords_1 = (aqap.iloc[idx].latitude, aqap.iloc[idx].longitude)\n        coords_2 = (lat, lon)\n        distance_in_m = h3.point_dist(coords_1, coords_2, unit='m') # to get distance in meters\n        distances.append(distance_in_m)\n    \n    distances_arr = np.array(distances)\n    arr_idx_min = np.where(distances_arr == distances_arr.min())[0][0]\n    approx_idx = arr_idx_min*step\n    return approx_idx","metadata":{"execution":{"iopub.status.busy":"2022-11-10T12:20:33.611561Z","iopub.execute_input":"2022-11-10T12:20:33.611914Z","iopub.status.idle":"2022-11-10T12:20:33.627166Z","shell.execute_reply.started":"2022-11-10T12:20:33.611885Z","shell.execute_reply":"2022-11-10T12:20:33.625865Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"np_arr = np.zeros([9, 151])\n\n\"\"\"\n# Get program number of the first finisher, 'position_at_finish' is the column with finish position\n\"\"\"\ndef get_who_finished_first(all_data, finish_trakus):\n    return all_data[all_data['position_at_finish'] == 1].iloc[0].program_number\n\n\"\"\"\n# Determine finish trakus index of the horse\n\"\"\"\ndef get_finish_trakus(all_data, any_program_num, verbose):\n    # get one trace\n    n1_finisher_trace = all_data[all_data['position_at_finish'] == 1].sort_values(by='trakus_index')\n    \n    # add runup distance ?\n    distance_in_m = -n1_finisher_trace.iloc[0].run_up_distance*0.3048\n    #distance_in_m = 0\n    program_num = n1_finisher_trace.iloc[0].program_number\n    race_distance = n1_finisher_trace.iloc[0].distance_id / 100\n    finish_dist_in_m = race_distance*201.168 # furlongs to m\n    finish_trakus = 0\n    finish_coords = None\n    \n    # compute lon lat of the finish line\n    for i in range(1, len(n1_finisher_trace)):\n        coords_1 = (n1_finisher_trace.iloc[i-1].latitude, n1_finisher_trace.iloc[i-1].longitude)\n        coords_2 = (n1_finisher_trace.iloc[i].latitude, n1_finisher_trace.iloc[i].longitude)\n        distance = h3.point_dist(coords_1, coords_2, unit='m') # to get distance in meters\n        distance_in_m = distance_in_m + distance\n        \n        if distance_in_m > finish_dist_in_m: # passed finish line\n            finish_coords = coords_2\n            finish_trakus = n1_finisher_trace.iloc[i].trakus_index\n            break\n\n    if finish_trakus == 0:\n        print('pruser')\n        finish_trakus = n1_finisher_trace.iloc[-1].trakus_index\n    if finish_coords == None:\n        finish_coords = coords_2\n    \n    if verbose:\n        print('finish coords:', finish_coords, distance_in_m, finish_trakus, program_num)\n    return finish_trakus\n\n\"\"\"\n# Get position history for the particular #1 horse, interval <100 trakus indexes before the finish, finish>\n\"\"\" \ndef get_last_150_trakus_position_history(all_data, tracked_program_number, finish_trakus):\n    idx = 0\n    position_of_tracked = list()\n    for trakus_idx in range(finish_trakus-150, finish_trakus+1):\n        finishers = all_data[all_data['trakus_index'] == trakus_idx]\n        position_data = get_position_data(finishers, aqap).reset_index()\n\n        try:\n            position_of_tracked.insert(idx, int(position_data[position_data['program_number']==tracked_program_number].index[0]) + 1)\n            idx += 1\n        except IndexError:\n            position_of_tracked.insert(idx, int(position_data[position_data['program_number']==int(tracked_program_number)].index[0]) + 1)\n            idx += 1\n    return position_of_tracked\n\n\"\"\"\n# Increase number of position occurence in numpy arr\n\"\"\"\ndef increase_np_arr(np_arr, arr_of_tracked):\n    for trakus_idx in range(len(arr_of_tracked)):\n        #np_arr[arr_of_tracked[trakus_idx]-1][100-trakus_idx] += 1\n        np_arr[arr_of_tracked[trakus_idx]-1][trakus_idx] += 1\n    return np_arr\n\n# todo: convert to probab\ndef draw_heatmap(np_arr):\n    plt.figure(figsize = (32, 16))\n    y_ticks = []\n    x_ticks = []\n    for i in range(len(np_arr)):\n        y_ticks.insert(i,i+1)\n        \n    for i in range(len(np_arr[0])):\n        x_ticks.insert(i,-(150-i))\n    \n    ax = sns.heatmap(np_arr, vmin=0, yticklabels=y_ticks, xticklabels=x_ticks)\n    ax.set_xlabel('Distance from finish [trakus index]', fontsize=10)\n    ax.set_ylabel('Relative position', fontsize=10)\n    ax.set_title('Heatmap of the probabilities to win from relative positions for ' + selected_track_id_for_heatmap)\n    #print(np_arr)\n    plt.show()\n    \ndef get_filtered_races(selected_track_id, furlong_lengths):\n    if furlong_lengths == None:\n        return complete[(complete['track_id'] == selected_track_id)]\n    return complete[(complete['track_id'] == selected_track_id) & (complete['distance_id'] == furlong_lengths)]","metadata":{"execution":{"iopub.status.busy":"2022-11-10T12:20:33.628805Z","iopub.execute_input":"2022-11-10T12:20:33.629131Z","iopub.status.idle":"2022-11-10T12:20:33.650684Z","shell.execute_reply.started":"2022-11-10T12:20:33.629103Z","shell.execute_reply":"2022-11-10T12:20:33.649380Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"selected_track_id_for_heatmap = 'AQU'\n#furlong_lengths = None\nfurlong_lengths = 600\nverbose = False\n\nfiltered_race_data = get_filtered_races(selected_track_id_for_heatmap, furlong_lengths)\n\n# Get distinct race dates and race number\nraces = filtered_race_data[['race_date', 'race_number']]\nraces = races.groupby(['race_date', 'race_number']).first().reset_index()\nraces_count = len(races)\n\nprint('computing..')\n\nstart = time.time() # benchmark\nfor i in range(races_count):\n    race = races.iloc[i]\n    race_date = race.race_date\n    race_number = race.race_number\n    sample_data = filtered_race_data[(filtered_race_data['race_number'] == race_number) & (filtered_race_data['race_date'] == race_date)]\n    \n    if(sample_data.empty):\n        continue\n    any_program_num = sample_data.iloc[1].program_number\n    program_number = sample_data[sample_data['position_at_finish'] == 1].sort_values('trakus_index')\n    \n    finish_trakus = get_finish_trakus(sample_data, any_program_num, verbose)\n\n    try:\n        who_finished_first = get_who_finished_first(sample_data, finish_trakus)\n        last_150 = get_last_150_trakus_position_history(sample_data, who_finished_first, finish_trakus)\n        increase_np_arr(np_arr, last_150)\n    except IndexError:\n        if verbose:\n            print(\"error \", len(program_number), finish_trakus)\n    if i % 40 == 0:\n        print('...',round(i/races_count * 100,0),'%...')\n        \nend = time.time() # benchmark\nprint(end - start)","metadata":{"execution":{"iopub.status.busy":"2022-11-10T12:20:33.651865Z","iopub.execute_input":"2022-11-10T12:20:33.652252Z","iopub.status.idle":"2022-11-10T13:17:39.436223Z","shell.execute_reply.started":"2022-11-10T12:20:33.652214Z","shell.execute_reply":"2022-11-10T13:17:39.435003Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"ns = 0\nnormed_arr = np.copy(np_arr)\n\nfor i in range(len(np_arr)):\n    ns += np_arr[i][0]\n    \n# Normovanie\nfor i in range(len(np_arr)):\n    for j in range(0, len(np_arr[i])):\n        normed_arr[i][j] = np_arr[i][j]*100/ns\n\nnp.set_printoptions(formatter={'float': lambda x: \"{0:0.3f}\".format(x)})\nprint(normed_arr)","metadata":{"execution":{"iopub.status.busy":"2022-11-10T13:17:39.437580Z","iopub.execute_input":"2022-11-10T13:17:39.438414Z","iopub.status.idle":"2022-11-10T13:17:39.447811Z","shell.execute_reply.started":"2022-11-10T13:17:39.438377Z","shell.execute_reply":"2022-11-10T13:17:39.446448Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"color_palette = cm.get_cmap('rainbow',250)\nx = [0]*2\ny = [0]*2\nplt.figure(figsize = (16, 8))\n\nfor i in range(len(normed_arr)):\n    for j in range(0, len(normed_arr[i])-1):\n            x[0] = -(150-j)\n            x[1] = -(150-j-1)\n            y[0] = normed_arr[i][j]\n            y[1] = normed_arr[i][j+1]\n            tem = i/10\n            plt.plot(x,y,color=color_palette(tem))\n                \nplt.title(\"Graph\")\nplt.xlabel(\"Trakus index <-150,0> from finish [0.25 s]\")\nplt.ylabel(\"Probability\")\nplt.xlim(-150,0)\nplt.ylim(0,100.0)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-11-10T13:17:39.449350Z","iopub.execute_input":"2022-11-10T13:17:39.449797Z","iopub.status.idle":"2022-11-10T13:17:41.570294Z","shell.execute_reply.started":"2022-11-10T13:17:39.449748Z","shell.execute_reply":"2022-11-10T13:17:41.569063Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print('Trakus index = -100')\nfor idx in range(len(normed_arr)):\n    print(idx+1, ':', normed_arr[idx][50], '%')\n","metadata":{"execution":{"iopub.status.busy":"2022-11-10T13:20:30.331266Z","iopub.execute_input":"2022-11-10T13:20:30.331721Z","iopub.status.idle":"2022-11-10T13:20:30.339021Z","shell.execute_reply.started":"2022-11-10T13:20:30.331686Z","shell.execute_reply":"2022-11-10T13:20:30.337484Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print('Trakus index = -90')\nfor idx in range(len(normed_arr)):\n    print(idx+1, ':', normed_arr[idx][60], '%')","metadata":{"execution":{"iopub.status.busy":"2022-11-10T13:19:48.778931Z","iopub.execute_input":"2022-11-10T13:19:48.779386Z","iopub.status.idle":"2022-11-10T13:19:48.786836Z","shell.execute_reply.started":"2022-11-10T13:19:48.779350Z","shell.execute_reply":"2022-11-10T13:19:48.785677Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"In this alternative approach, we pair probabilities counting from the finish line backward. Usually, 6 furlong race ends close to trakus index 270 (the time when the winner crosses the finish line). Counting backward in time, position trakus index 170, when horses are close to the start of finishing straight, is equivalent to trakus between -100 and -90 in the alternative approach.  \n\nWe could compare both approaches' results at the start of finishing straight for 6 furlong races at Aqueduct. As we could see from the next table, the results from an alternative approach (2nd approach) are similar to the results from the first approach. \n\n![table_2.png](attachment:418a6f0a-2c04-4625-a534-11a0ac9979ef.png)","metadata":{},"attachments":{"418a6f0a-2c04-4625-a534-11a0ac9979ef.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"# Instead of Conclusion\n\nIt was really fun to work on this topic. The deeper we go, the more we see how much work could be done :) ","metadata":{}}]}