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halo-infinite-statistics.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "view-in-github"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/misterhay/953ec35401e8c9abcfc571da2b1d3c73/halo-infinite-statistics.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "QcdksNkQhP3g"
},
"source": [
"# Accessing Halo Infinite Statistics\n",
"\n",
"### by David Hay\n",
"\n",
"We will use the [Autocode Halo Infinite API](https://autocode.com/lib/halo/infinite/) to look at player statistics.\n",
"\n",
"A version of this notebook is also available as a [GitHub Gist](https://gist.github.com/misterhay/953ec35401e8c9abcfc571da2b1d3c73).\n",
"\n",
"The [Requests](https://docs.python-requests.org/en/latest/) Python library will allow us to access the [API](https://en.wikipedia.org/wiki/API), and [Plotly Express](https://plotly.com/python/plotly-express/) for visualizing the data. If you are logged in and running this notebook on [Google Colab](https://colab.research.google.com/gist/misterhay/ce7afa6d0d6eb334617d95dbc3a2fb4d/halo-infinite-statistics.ipynb) or [Callysto Hub](https://hub.callysto.ca/) then you shouldn't need to install anything."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "qtwW3pen28zi"
},
"source": [
"## Setting up the API and Getting Data\n",
"\n",
"If you'd like to create your own version of the API, follow the [Creating an Endpoint](https://docs.autocode.com/getting-started/creating-your-first-project/creating-an-endpoint/) instructions and use the code found [here](https://gist.github.com/misterhay/3537dde6aeee325975459b246fab52b2).\n",
"\n",
"However you can also use the one that has already been created at [misterhay.api.stdlib.com/halo-infinite-stats@dev](https://misterhay.api.stdlib.com/halo-infinite-stats@dev/?gamertag=mint%20blitz).\n",
"\n",
"In the following code cell you can specify the gamertag to look up stats for that player. You can choose the type of player statistics from the list: `'appearance', 'csrs', 'matches.list', 'matches.retrieve', 'service-record.multiplayer', 'service-record.campaign'`."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "fLShMTUjgqhL",
"outputId": "e1f01a00-ca76-45ae-edfb-406b8b6419c5"
},
"outputs": [],
"source": [
"gamertag = 'Mint Blitz'\n",
"stats = 'service-record.multiplayer' # 'appearance', 'csrs', 'matches.list', 'matches.retrieve', 'service-record.multiplayer', 'service-record.campaign'\n",
"# offset = '' # for matches.list, since it only returns 25 at a time\n",
"# mode = '' # for matches.list, 'matchmade' or 'custom'\n",
"# id = '' # for matches.retrieve\n",
"# filters = '' # optional for service-record.multiplayer: 'matchmade:pvp' or 'matchmade:social' or 'matchmade:ranked' or 'matchmade:ranked' or 'custom'\n",
"\n",
"endpoint_url = 'https://misterhay.api.stdlib.com/halo-infinite-stats@dev/'\n",
"\n",
"import requests\n",
"\n",
"payload = {'gamertag':gamertag,\n",
" 'stats':stats,\n",
" # 'offset':25,\n",
" # 'id':id\n",
" # 'filters':filters,\n",
" } \n",
"\n",
"headers = {'Content-Type': 'application/json'}\n",
"response = requests.post(endpoint_url, headers=headers, params=payload)\n",
"try:\n",
" d = response.json()\n",
" print(d)\n",
"except:\n",
" print(response.text)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Pf-4WNbb9n0K"
},
"source": [
"## Visualizing Data\n",
"\n",
"Now that we've seen how we can access these statistics, let's try a visualization of the summary statistics."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
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"height": 542
},
"id": "70Io9MDYgxHv",
"outputId": "3cd598a0-a617-484d-9560-e122591c82c2"
},
"outputs": [
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},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"summary = d['data']['core']['summary']\n",
"x = list(summary.keys())\n",
"y = list(summary.values())\n",
"\n",
"import plotly.express as px\n",
"px.bar(d, x=x, y=y, title='Halo Infinite Summary for '+gamertag, labels={'x':'Statistic','y':'Number'})"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "9_-xK--SJmDg"
},
"source": [
"Some of the statistics don't show up in the graph. We can look at them separately, and even create a graph without them."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 578
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"id": "KLFyOFZbJmZq",
"outputId": "a31b1cbc-2a92-4f6c-de02-457f67afbb10"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['kills', 'deaths', 'assists', 'betrayals', 'suicides', 'vehicles', 'medals']\n",
"[20801, 8138, 3877, 11, 35, {'destroys': 277, 'hijacks': 78}, 13586]\n"
]
},
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" {\"responsive\": true}\n",
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" \n",
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"</body>\n",
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]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"summary = d['data']['core']['summary']\n",
"x = list(summary.keys())\n",
"y = list(summary.values())\n",
"print(x)\n",
"print(y)\n",
"\n",
"indices = [0, 1, 2, 6]\n",
"import plotly.express as px\n",
"px.bar(d, x=[x[i] for i in indices], y=[y[i] for i in indices], title='Halo Infinite Summary for '+gamertag, labels={'x':'Statistic','y':'Number'})"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "JD9H6QRkBvRn"
},
"source": [
"We can also look at other statistics:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "NTHNlIK6B8uw",
"outputId": "dac3bdfe-3073-41fc-cede-29b71099baea"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Core Stats\n",
"-\n",
"summary :\n",
"kills\n",
"deaths\n",
"assists\n",
"betrayals\n",
"suicides\n",
"vehicles\n",
"medals\n",
"-\n",
"damage :\n",
"taken\n",
"dealt\n",
"average\n",
"-\n",
"shots :\n",
"fired\n",
"landed\n",
"missed\n",
"accuracy\n",
"-\n",
"breakdowns :\n",
"kills\n",
"assists\n",
"matches\n",
"medals\n",
"-\n",
"kda :\n",
"14.082071981163807\n",
"-\n",
"kdr :\n",
"2.556033423445564\n",
"-\n",
"total_score :\n",
"2324605\n",
"---\n",
"Matches Played: 991\n",
"Time Played: {'seconds': 552494, 'human': '6d 09h 28m 14s'}\n",
"Win Rate: 53.784056508577194\n"
]
}
],
"source": [
"print('Core Stats')\n",
"for core_stat in d['data']['core']:\n",
" print('-')\n",
" print(core_stat + ' :')\n",
" try:\n",
" for s in d['data']['core'][core_stat]:\n",
" print(s)\n",
" except:\n",
" print(d['data']['core'][core_stat])\n",
"\n",
"print('---')\n",
"print('Matches Played:', d['data']['matches_played'])\n",
"print('Time Played:', d['data']['time_played'])\n",
"print('Win Rate:', d['data']['win_rate'])"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "mBwdKlaCB9Lw"
},
"source": [
"Let's create another visualization, this time of shots:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 542
},
"id": "GOtJB7_JBtjY",
"outputId": "90edca97-7167-40ad-e0e5-80e91581a7af"
},
"outputs": [
{
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],
"source": [
"summary = d['data']['core']['shots']\n",
"x = list(summary.keys())\n",
"y = list(summary.values())\n",
"\n",
"import plotly.express as px\n",
"px.bar(d, x=x, y=y, title='Halo Infinite Shots for '+gamertag, labels={'x':'Shots','y':'Number'})"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "r0_plUV5EPCx"
},
"source": [
"We can see that accuracy is a much smaller number, so it doesn't show up on the graph.\n",
"\n",
"## Comparing Statistics Between Players\n",
"\n",
"It's also interesting to compare statistics between players."
]
},
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"gamertag1 = 'Mint Blitz'\n",
"gamertag2 = 'Fissa'\n",
"\n",
"stats = 'service-record.multiplayer' # 'appearance', 'csrs', 'matches.list', 'matches.retrieve', 'service-record.multiplayer', 'service-record.campaign'\n",
"# mode = '' # for matches.list\n",
"# id = '' # for matches.retrieve\n",
"# filters = '' # optional for service-record.multiplayer: 'matchmade:pvp' or 'matchmade:social' or 'matchmade:ranked' or 'matchmade:ranked' or 'custom'\n",
"\n",
"endpoint_url = 'https://misterhay.api.stdlib.com/halo-infinite-stats@dev/'\n",
"\n",
"import requests\n",
"\n",
"def get_stats(gamertag):\n",
" payload = {'gamertag':gamertag,\n",
" 'stats':stats,\n",
" # 'mode':mode,\n",
" # 'id':id\n",
" # 'filters':filters,\n",
" } \n",
"\n",
" headers = {'Content-Type': 'application/json'}\n",
" response = requests.post(endpoint_url, headers=headers, params=payload)\n",
" try:\n",
" d = response.json()\n",
" except:\n",
" d = ''\n",
" print(response.text)\n",
" return d\n",
"\n",
"d1 = get_stats(gamertag1)\n",
"d2 = get_stats(gamertag2)\n",
"print(d1)\n",
"print(d2)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "_IH_7Bb4IImJ"
},
"source": [
"We can make a double bar graph to compare these two players."
]
},
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"outputs": [
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],
"source": [
"stat = 'summary'\n",
"how_many_stats = 3\n",
"\n",
"x = list(d1['data']['core'][stat].keys())[:how_many_stats]\n",
"y1 = list(d1['data']['core'][stat].values())[:how_many_stats]\n",
"y2 = list(d2['data']['core'][stat].values())[:how_many_stats]\n",
"\n",
"import plotly.graph_objects as go\n",
"fig = go.Figure()\n",
"fig.add_trace(go.Bar(x=x, y=y1, name=gamertag1))\n",
"fig.add_trace(go.Bar(x=x, y=y2, name=gamertag2))\n",
"fig.update_layout(title_text='Halo Infinite '+ stat.capitalize() +' Statistics Comparison')"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "jfSuqO9sfSOX"
},
"source": [
"## Comparing Among Multiple Players\n",
"\n",
"Let's pull data from multiple players and compare their [KDA](https://kotaku.com/how-halo-infinite-calculates-your-kill-death-assist-rat-1847810384) statistics."
]
},
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"source": [
"gamertags = ['Fissa','Ay Jakobe','Shokoye','ZABENHAWK','t1 Faded']\n",
"stats = 'service-record.multiplayer'\n",
"\n",
"stat_list = []\n",
"for gamertag in gamertags:\n",
" endpoint_url = 'https://misterhay.api.stdlib.com/halo-infinite-stats@dev/'\n",
" import requests\n",
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" try:\n",
" d = response.json()\n",
" s = d['data']['core']['kda']\n",
" except:\n",
" s = ''\n",
" print(gamertag, response.text)\n",
" stat_list.append(s)\n",
"\n",
"import plotly.express as px\n",
"px.bar(x=gamertags, y=stat_list, title='KDA Statistics', labels={'x':'Gamertag','y':'KDA'})"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "VgnlKjgksy8V"
},
"source": [
"Or we can compare their time played."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 542
},
"id": "WmH0JGBis3FF",
"outputId": "fd403b19-6a8e-4217-c9ee-566f0137bdc6"
},
"outputs": [
{
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"source": [
"gamertags = ['Fissa','Ay Jakobe','Shokoye','ZABENHAWK','t1 Faded']\n",
"stats = 'service-record.multiplayer'\n",
"\n",
"stat_list = []\n",
"for gamertag in gamertags:\n",
" endpoint_url = 'https://misterhay.api.stdlib.com/halo-infinite-stats@dev/'\n",
" import requests\n",
" payload = {'gamertag':gamertag,'stats':stats}\n",
" headers = {'Content-Type': 'application/json'}\n",
" response = requests.post(endpoint_url, headers=headers, params=payload)\n",
" try:\n",
" d = response.json()\n",
" s = d['data']['time_played']['seconds']/3600 # to convert seconds to hours\n",
" except:\n",
" s = ''\n",
" print(gamertag, response.text)\n",
" stat_list.append(s)\n",
"\n",
"import plotly.express as px\n",
"px.bar(x=gamertags, y=stat_list, title='Multiplayer Time Played Statistics')"
]
},
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"metadata": {
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"source": [
"## Comparing Players in a Game\n",
"\n",
"It's also interesting to look at statistics from a single game.\n",
"\n"
]
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\"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Halo Infinite Possession Statistics Comparison for Oddball at 2022-01-02T22:28:43.560Z\"}, \"yaxis\": {\"title\": {\"text\": \"seconds\"}}},\n",
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"source": [
"id = 'c3dd1b1e-05a4-444d-8e7a-32dae65b7685'\n",
"payload = {'gamertag':'OrganizedTitan0','stats':'matches.retrieve','id':id}\n",
"endpoint_url = 'https://misterhay.api.stdlib.com/halo-infinite-stats@dev/'\n",
"import requests\n",
"import plotly.graph_objects as go\n",
"headers = {'Content-Type': 'application/json'}\n",
"response = requests.post(endpoint_url, headers=headers, params=payload)\n",
"d = response.json()\n",
"fig = go.Figure()\n",
"for player in d['data']['players']:\n",
" x = list(player['stats']['core']['shots'].keys())\n",
" y = list(player['stats']['core']['shots'].values())\n",
" fig.add_trace(go.Bar(x=x, y=y, name=player['gamertag']+' '+player['outcome']))\n",
"gametype = d['data']['details']['category']['name']\n",
"map_name = d['data']['details']['map']['name']\n",
"played_at = d['data']['played_at']\n",
"fig.update_layout(title_text='Halo Infinite Shots Statistics Comparison for '+gametype+' at '+played_at)\n",
"fig.show()\n",
"\n",
"fig2 = go.Figure()\n",
"x = []\n",
"y = []\n",
"for player in d['data']['players']:\n",
" x.append(player['gamertag'])\n",
" y.append(player['stats']['mode']['oddballs']['possession']['durations']['total']['seconds'])\n",
"fig2.add_trace(go.Bar(x=x, y=y)).update_layout(yaxis_title='seconds',title_text='Halo Infinite Possession Statistics Comparison for '+gametype+' at '+played_at)\n",
"fig2.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "rCWG2cVzRuVH"
},
"source": [
"## Combining Statistics with Multiple API Calls\n",
"\n",
"Let's try requesting stats for the most recent game played by a player, and then visualizing the number of games played by each participant. We'll use the [pandas](https://pandas.pydata.org) library to make a dataframe of player data."
]
},
{
"cell_type": "code",
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"metadata": {
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"id": "gjgDlwh-EdVx",
"outputId": "e66b25b9-0a79-4292-df14-aa2e863a1b6d"
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"outputs": [
{
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"text/plain": [
" gamertag assists deaths ... time_played total_score win_rate\n",
"0 OrganizedTitan0 1000.0 3668.0 ... 189491.0 430040.0 52.978056\n",
"1 MrOptic17 811.0 2417.0 ... 132311.0 306275.0 45.701357\n",
"2 Snnz Sublimed 136.0 418.0 ... 22628.0 54515.0 50.000000\n",
"3 Mulderscully955 698.0 2009.0 ... 121878.0 244485.0 49.009901\n",
"4 TotalingDart367 135.0 315.0 ... 23969.0 48230.0 50.000000\n",
"5 floodnebula 169.0 654.0 ... 33431.0 65085.0 23.214286\n",
"6 Mr noruego117 1395.0 4008.0 ... 233400.0 542755.0 49.081365\n",
"7 Moist Pug 593.0 1859.0 ... 110314.0 220450.0 46.022727\n",
"\n",
"[8 rows x 11 columns]"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"player = 'OrganizedTitan0'\n",
"\n",
"import requests\n",
"endpoint_url = 'https://misterhay.api.stdlib.com/halo-infinite-stats@dev/'\n",
"headers = {'Content-Type': 'application/json'}\n",
"\n",
"# get all the games\n",
"games = requests.post(endpoint_url, headers=headers, params={'gamertag':player,'stats':'matches.list'}).json()\n",
"# get the ID of the most recent game\n",
"last_game_id = games['data'][0]['id']\n",
"# get stats for that game\n",
"game_stats = requests.post(endpoint_url, headers=headers, params={'gamertag':player,'stats':'matches.retrieve','id':last_game_id}).json()\n",
"gametype = game_stats['data']['details']['category']['name']\n",
"map_name = game_stats['data']['details']['map']['name']\n",
"played_at = game_stats['data']['played_at']\n",
"print(gametype +' on '+map_name+' at '+played_at)\n",
"# get stats for each player in the game\n",
"import pandas as pd\n",
"df = pd.DataFrame(columns=['gamertag']) # so that gamertag is the first column\n",
"for player in game_stats['data']['players']:\n",
" gamertag = player['gamertag']\n",
" print(gamertag)\n",
" if gamertag[:3] != '343':\n",
" try:\n",
" response = requests.post(endpoint_url, headers=headers, params={'gamertag':gamertag,'stats':'service-record.multiplayer'})\n",
" gamer_stats = response.json()\n",
" df = df.append({\n",
" 'gamertag':gamertag,\n",
" 'outcome':player['outcome'],\n",
" 'kills':gamer_stats['data']['core']['summary']['kills'],\n",
" 'deaths':gamer_stats['data']['core']['summary']['deaths'],\n",
" 'assists':gamer_stats['data']['core']['summary']['assists'],\n",
" 'kda':gamer_stats['data']['core']['kda'],\n",
" 'medals':gamer_stats['data']['core']['summary']['medals'],\n",
" 'total_score':gamer_stats['data']['core']['total_score'],\n",
" 'matches_played':gamer_stats['data']['matches_played'],\n",
" 'time_played':gamer_stats['data']['time_played']['seconds'],\n",
" 'win_rate':gamer_stats['data']['win_rate'],\n",
" }, ignore_index=True)\n",
" except:\n",
" print('Stats not available')\n",
"from IPython.display import clear_output\n",
"clear_output()\n",
"# display the dataframe\n",
"df"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "e9TAXOT2piIq"
},
"source": [
"### Visualization\n",
"\n",
"And again we can visualize the data with Plotly Express. We'll choose the `time_played` column to go on the y-axis, but you can try any column from the above dataframe we just built."
]
},
{
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},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"y = 'total_score'\n",
"import plotly.express as px\n",
"played_at = game_stats['data']['played_at']\n",
"px.bar(df, x='gamertag', y=y, color='outcome', title='Total Stats from Players Who Played '+ gametype +' on '+map_name +' '+ played_at)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "DaqsU1bBxaFx"
},
"source": [
"### Correlation\n",
"\n",
"Let's graph win rate versus KDA for these players, and add a trendline."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 615
},
"id": "G59JVijGxhzX",
"outputId": "1b83a847-695c-4d09-bbe3-56fa939245ed"
},
"outputs": [],
"source": [
"x = 'kda'\n",
"y = 'win_rate'\n",
"px.scatter(df, x=x, y=y, trendline='ols', text='gamertag', title=y+' vs '+x)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "JZ7zDnmTIqC6"
},
"source": [
"## Conclusion\n",
"\n",
"Hopefully that can help you get you started with analysis of Halo Infinite statistics, feel free to reach out on [Twitter](https://twitter.com/misterhay) or check out [Callysto Courses](https://www.callysto.ca/distance-learning) and [other resources](https://www.callysto.ca)."
]
}
],
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"name": "Halo Infinite Statistics.ipynb",
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