### Install Development Dependencies

Source: https://github.com/jldbc/pybaseball/blob/master/contributing.md

Installs the package in editable mode for development purposes.

```bash
pip install -e .
```

--------------------------------

### Install pybaseball

Source: https://github.com/jldbc/pybaseball/blob/master/README.md

Installation methods for the pybaseball library using pip or the source repository.

```bash
pip install pybaseball
```

```bash
git clone https://github.com/jldbc/pybaseball
cd pybaseball
pip install -e .
```

--------------------------------

### Retrieve Pitching Stats by Date Range

Source: https://github.com/jldbc/pybaseball/blob/master/docs/pitching_stats_range.md

Use this function to fetch pitching data for a specific start and end date. If the end date is omitted, it defaults to the start date.

```python
from pybaseball import pitching_stats_range

# retrieve all players' pitching stats for the month of May, 2017 
data = pitching_stats_range("2017-05-01", "2017-05-28")

# retrieve pitching stats for only August 24, 2016
data = pitching_stats_range("2016-08-24",)
```

--------------------------------

### GET /pitching_stats

Source: https://github.com/jldbc/pybaseball/blob/master/README.md

Retrieves league-wide season-level pitching data from FanGraphs.

```APIDOC
## GET /pitching_stats

### Description
Retrieves league-wide season-level pitching data from FanGraphs for a specified range of seasons.

### Parameters
#### Query Parameters
- **start_season** (int) - Required - The starting season year.
- **end_season** (int) - Required - The ending season year.

### Request Example
from pybaseball import pitching_stats
data = pitching_stats(2014, 2016)
```

--------------------------------

### Get Salaries Data

Source: https://github.com/jldbc/pybaseball/blob/master/docs/lahman.md

Fetches salary data for players by year.

```python
salaries = salaries()
```

--------------------------------

### Retrieve Pitching Statistics

Source: https://github.com/jldbc/pybaseball/blob/master/docs/pitching_stats.md

Examples of querying pitching data using various parameters like season ranges, qualification thresholds, and aggregation settings.

```python
from pybaseball import pitching_stats

# get all of this season's pitching data so far
data = pitching_stats(2017)

# retrieve data on only players who have pitched 50+ innings this year
data = pitching_stats(2017, qual=50)

# retrieve one row per player per season since 2000 (i.e.: who had the single most dominant season over this period?)
data = pitching_stats(2010, 2016)

# retrieve aggregate player statistics from 2000 to 2016 (i.e.: who has the most wins over this period?)
data = pitching_stats(2010, 2016, ind=0)
```

--------------------------------

### Initialize New Relic Agent

Source: https://github.com/jldbc/pybaseball/blob/master/tests/pybaseball/data/team_pitching.html

Initializes the New Relic agent with license key and application ID. This is typically done once at the start of the application.

```javascript
window.NREUM||(NREUM={});NREUM.info = {"beacon":"bam.nr-data.net","errorBeacon":"bam.nr-data.net","licenseKey":"8c8459e5ba","applicationID":"2284934","transactionName":"ZlMHMEtVDUdTW0ZQC18ZJDdpGw9RU1xXSxcfVxYUQQ==","queueTime":0,"applicationTime":325,"agent":"","atts":""}
```

```javascript
(window.NREUM||(NREUM={})).loader_config={licenseKey:"8c8459e5ba",applicationID:"2284934"}
```

--------------------------------

### Get Fielding Stats

Source: https://github.com/jldbc/pybaseball/blob/master/docs/lahman.md

Fetches fielding statistics for players by year.

```python
fielding = fielding()
```

--------------------------------

### Get All Pitching WAR Stats

Source: https://github.com/jldbc/pybaseball/blob/master/docs/bwar_pitch.md

Fetches all available fields from the war_daily_pitch table, including additional data not typically needed. Set `return_all` to True to use this.

```python
# get war stats plus additional fields from this table 
data = bwar_pitch(return_all=True)
```

--------------------------------

### Get Pitching Stats (Regular Season)

Source: https://github.com/jldbc/pybaseball/blob/master/docs/lahman.md

Fetches historical regular season pitching statistics for players by year.

```python
pitching = pitching()
```

--------------------------------

### Get Pitching Stats Bref for Current Season

Source: https://github.com/jldbc/pybaseball/blob/master/docs/pitching_stats_bref.md

Fetches all pitching data for the current calendar year's season. No arguments are needed.

```python
from pybaseball import pitching_stats_bref

# get all of this season's pitching data so far
data = pitching_stats_bref()
```

--------------------------------

### Get Pitching WAR Stats (Default)

Source: https://github.com/jldbc/pybaseball/blob/master/docs/bwar_pitch.md

Fetches a subset of WAR stats from Baseball Reference. Use this for standard use cases.

```python
from pybaseball import bwar_pitch

# get war stats from baseball reference 
data = bwar_pitch()
```

--------------------------------

### Clone and Configure Repository

Source: https://github.com/jldbc/pybaseball/blob/master/contributing.md

Initializes the local repository and sets the upstream remote for tracking changes.

```bash
git clone git@github.com:<your GitHub handle>/pybaseball.git
cd pybaseball
git remote add upstream git@github.com:jldbc/pybaseball.git
```

--------------------------------

### Get Team Batting Stats (Multiple Seasons)

Source: https://github.com/jldbc/pybaseball/blob/master/docs/team_batting_bref.md

Use this function to retrieve a dataframe of team-level batting stats for a specified team across a range of seasons. Ensure the `pybaseball` library is installed and imported.

```python
from pybaseball import team_batting

# get the Yankees (NYY) seasonal batting stats from 2010 through 2013
data = team_batting_bref('NYY', 2010, 2013)
```

--------------------------------

### Get Statcast Pitcher Spin Data for a Single Day

Source: https://github.com/jldbc/pybaseball/blob/master/docs/statcast_pitcher_spin.md

Fetch Statcast pitcher spin data for a specific date by providing only the `start_dt`. The `end_dt` parameter should be omitted.

```python
# get data for July 15th, 2017
data = statcast_pitcher_spin('2019-05-03', player_id = 543294)
```

--------------------------------

### Get Park Data

Source: https://github.com/jldbc/pybaseball/blob/master/docs/lahman.md

Fetches data on baseball parks, including their IDs, names, aliases, and geographical locations.

```python
parks = parks()
```

--------------------------------

### Initialize Ad Serving Configuration

Source: https://github.com/jldbc/pybaseball/blob/master/tests/pybaseball/data/team_fielding.html

Configures Prebid.js with price granularity, bid settings, and targeting controls. Use this to set up Prebid's core functionalities before requesting bids.

```javascript
var assertive_entityId = 'icEJRauCAzF8SFWAw';
var assertive_debug = 0;
// append the query string 'assertiveYield=debug' or add this local storage entry 'localStorage.setItem("assertiveYield", "debug")' to enable dynamically
var assertive_sampleRate = 1; // 1 = 100%, 0.2 = 20%...
var assertive_timeout = null;
var assertive_layout = null;
var assertive_userState = null;
assertive_timeout = PREBID_TIMEOUT;
var googletag = googletag || {};
ggoogletag.cmd = googletag.cmd || [];
ggoogletag.cmd.push(function () {
    googletag.pubads().disableInitialLoad();
});
pbjs.que.push(function () {
    pbjs.addAdUnits(adUnits);
    pbjs.setConfig({
        priceGranularity: customConfigObject,
        enableSendAllBids: false,
        targetingControls: {
            alwaysIncludeDeals: true
        }
    });
    pbjs.requestBids({
        bidsBackHandler: sendAdserverRequest
    });
});
```

--------------------------------

### Get All-Star Full Data

Source: https://github.com/jldbc/pybaseball/blob/master/docs/lahman.md

Retrieves data for all-star rosters, including player, year, team, league, and position.

```python
allstar = all_star_full()
```

--------------------------------

### Initialize Environment and Fetch Team Data

Source: https://github.com/jldbc/pybaseball/blob/master/EXAMPLES/comparing_legendary_teams.ipynb

Imports necessary libraries and retrieves historical schedule and record data for specific MLB teams.

```python
from pybaseball import schedule_and_record
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
```

```python
yankees = schedule_and_record(1927, 'NYY')
reds = schedule_and_record(1976, 'CIN')
mariners = schedule_and_record(2001, 'SEA')
```

--------------------------------

### Get Bwar Batting Stats

Source: https://github.com/jldbc/pybaseball/blob/master/docs/bwar_bat.md

Retrieves WAR batting statistics from Baseball Reference. You can choose to get all available fields or a subset of common columns.

```APIDOC
## GET /bwar_bat

### Description
Retrieves Baseball Reference's WAR stats from its `war_daily_bat` table, along with some other data not included in the `batting_stats_bref` function.

### Method
GET

### Endpoint
/bwar_bat

### Parameters
#### Query Parameters
- **return_all** (bool) - Optional - Returns all fields from `war_daily_bat` table if True, returns only a subset of columns if False. Defaults to False.

### Request Example
```python
from pybaseball import bwar_bat

# Get default WAR stats
data = bwar_bat()

# Get WAR stats with all fields
data = bwar_bat(return_all=True)
```

### Response
#### Success Response (200)
- **data** (DataFrame) - A pandas DataFrame containing the WAR batting statistics. The columns included depend on the `return_all` parameter.

#### Response Example
```json
{
  "data": [
    {
      "Player": "Player Name",
      "WAR": 5.2,
      "G": 150,
      "AB": 600
      // ... other columns if return_all=True
    }
  ]
}
```
```

--------------------------------

### Initialize Main Navigation Menu

Source: https://github.com/jldbc/pybaseball/blob/master/tests/pybaseball/data/amateur_draft.html

Sets up the main navigation toggle functionality, including analytics tracking and browser compatibility checks.

```javascript
function sr_menus_setupMainNav_button_inline () { if (sr_detect_operaMini || !("classList" in document.createElement("_"))) { return false; } var nav_trigger = document.getElementById('nav_trigger'); if(!nav_trigger || nav_trigger.triggered) { return false; } nav_trigger.triggered = true; var nav = document.getElementById('nav'); var nav_trigger_a = nav_trigger.querySelector('a'); if (nav_trigger_a) { nav_trigger_a.setAttribute('href','javascript:void(0)'); nav_trigger.onclick = function (event) { nav.classList.toggle('open'); var is_open = nav.classList.contains('open'); if (is_open) { nav_trigger.classList.add('open'); } else { nav_trigger.classList.remove('open'); } event.preventDefault(); try { sr_record_analytics_event('MainNavButtonClick_inline',sr_record_directory(),sr_record_page());} catch(err) {} }; } return true; } sr_menus_setupMainNav_button_inline();
```

--------------------------------

### Get Pitching Stats by Season

Source: https://github.com/jldbc/pybaseball/blob/master/README.md

Retrieves league-wide season-level pitching data from FanGraphs. Returns one row per player per season with all available metrics.

```python
from pybaseball import pitching_stats
data = pitching_stats(2014,2016)
data.columns
Index(['IDfg', 'Season', 'Name', 'Team', 'Age', 'W', 'L', 'WAR', 'ERA', 'G',
       'LA', 'Barrels', 'Barrel%', 'maxEV', 'HardHit', 'HardHit%', 'Events',
       'CStr%', 'CSW%', 'xERA'],
      dtype='object', length=334)
```

--------------------------------

### Initializing Projection Models

Source: https://github.com/jldbc/pybaseball/blob/master/EXAMPLES/marcels_projections.ipynb

Load the player database and instantiate the pitching and batting projection objects.

```python
ppl = people()  # for merging player names onto the projections
ppl['Player'] = ppl['nameFirst'].str.cat(ppl['nameLast'], ' ')
marcel_batting = MarcelProjectionsBatting()
marcel_pitching = MarcelProjectionsPitching()
```

--------------------------------

### Get Aggregate Batting Stats Over a Range

Source: https://github.com/jldbc/pybaseball/blob/master/docs/batting_stats.md

Retrieve aggregated batting statistics for players over a specified range of seasons. Set 'ind=0' to get a single row per player with their stats summed or averaged across the period.

```python
from pybaseball import batting_stats

data = batting_stats(2010, 2016, ind=0)
```

--------------------------------

### GET /standings

Source: https://github.com/jldbc/pybaseball/blob/master/README.md

Retrieves division standings for a given season.

```APIDOC
## GET /standings

### Description
Returns division standings for a given season. If the current season is chosen, it returns the most current standings; otherwise, it returns end-of-season standings.

### Parameters
#### Query Parameters
- **season** (int) - Required - The season year.

### Request Example
from pybaseball import standings
data = standings(2016)
```

--------------------------------

### Initialize Assertive Analytics Client

Source: https://github.com/jldbc/pybaseball/blob/master/tests/pybaseball/data/batting_leaders.html

The client initializes by setting up local storage keys and tracking page views or session data.

```javascript
!function(){function w(e){console.error(e);var t=new XMLHttpRequest;t.open("POST",N+"/error.php",!0),t.setRequestHeader("Content-Type","application/json"),t.send(JSON.stringify(e,Object.getOwnPropertyNames(e)))}try{var U="1.9",N="https://api.assertcom.de",t="assertive_analytics_",R=P(),T=[],S=[],n=n||localStorage.getItem("assertiveYield")&&-1!==localStorage.getItem("assertiveYield").indexOf("debug")||-1!==u("assertiveYield").indexOf("debug");function i(e){return t.concat(e)}function a(e,t){return localStorage.setItem(i(e),t)}function D(e){return localStorage.getItem(i(e))}function d(e){return localStorage.removeItem(i(e))}function E(e){e=i(e);var t=Number(localStorage.getItem(e))||0;return localStorage.setItem(e,++t),t}function e(e){if(E(e+"PageViewN"),"client"!==e||!D(e+"UUID")){if("session"===e){if(D(e+"UUID")&&D(e+"Timeout")&&Date.now()<D(e+"Timeout"))return void a(e+"Timeout",Date.now()+18e5);a(e+"Timeout",Date.now()+18e5)}a(e+"UUID",P()),a(e+"Random",Math.random()),document.referrer?a(e+"Referrer",document.referrer):d(e+"Referrer"),a(e+"EntryPathname",window.location.pathname);var t=["utm_source","utm_medium","utm_campaign","utm_term",
```

--------------------------------

### Run Test Suite

Source: https://github.com/jldbc/pybaseball/blob/master/contributing.md

Executes the project tests from the root directory.

```bash
pytest
```

--------------------------------

### GET statcast_batter_percentile_ranks

Source: https://github.com/jldbc/pybaseball/blob/master/docs/statcast_batter.md

Retrieves percentile ranks for each player in a given year.

```APIDOC
## GET statcast_batter_percentile_ranks

### Description
Retrieves percentile ranks for each player in a given year.

### Parameters
#### Query Parameters
- **year** (integer) - Required - The year for data retrieval (YYYY).
```

--------------------------------

### Initialize and Fetch Bids with apstag

Source: https://github.com/jldbc/pybaseball/blob/master/tests/pybaseball/data/pitching_leaders.html

Initializes apstag with publisher ID and ad server, then fetches bids for specified ad slots. Requires apstag to be loaded as a script.

```javascript
apstag.init({
    pubID: '54eeeb9c-d6c6-4712-bb2a-e2aed51c3eb7',
    adServer: 'googletag',
    bidTimeout: 3000
});

apstag.fetchBids({
    slots: [
        {
            slotID: 'div-gpt-ad-1349421924281-9',
            slotName: '/1128006/ROS-BTF-2',
            sizes: [[300, 250]]
        },
        {
            slotID: 'div-gpt-ad-1349421924281-10',
            slotName: '/1128006/ROS-Footer',
            sizes: [[728, 90]]
        },
        {
            slotID: 'div-gpt-ad-1349421924281-13',
            slotName: '/1128006/RoS_300x250',
            sizes: [[300, 250]]
        },
        {
            slotID: 'div-gpt-ad-1349421924281-14',
            slotName: '/1128006/ROS_728x90',
            sizes: [[728, 90], [320, 50]]
        }
    ]
}, function(bids) {
    googletag.cmd.push(function() {
        apstag.setDisplayBids();
    });
});
```

--------------------------------

### GET get_splits

Source: https://github.com/jldbc/pybaseball/blob/master/docs/split_stats.md

Retrieves split statistics for a specified player from baseball-reference.

```APIDOC
## GET get_splits

### Description
Look up a player's split stats from baseball-reference. Either batting or pitching splits can be returned and splits can be provided for any season or for career.

### Parameters
#### Arguments
- **playerid** (String) - Required - The player's bbref playerid (e.g., 'troutmi01').
- **year** (Integer) - Optional - The year to get split stats for. Leaving this out will provide career split stats.
- **player_info** (Boolean) - Optional - If set to True, returns both the split stats dataframe and a dictionary of player info.
- **pitching_splits** (Boolean) - Optional - If set to True, returns pitching splits. Otherwise, returns batting splits.

### Request Example
get_splits('troutmi01', year=2023, player_info=True, pitching_splits=False)

### Response
- **df** (DataFrame) - A multi-index dataframe containing split stats by split category and split.
- **player_info_dict** (Dictionary) - Returned if player_info=True; contains player position, handedness, height, weight, and team.
```

--------------------------------

### Get Schools Data

Source: https://github.com/jldbc/pybaseball/blob/master/docs/lahman.md

Retrieves data on the schools attended by each player.

```python
schools = schools()
```

--------------------------------

### Initialize pybaseball Environment

Source: https://github.com/jldbc/pybaseball/blob/master/EXAMPLES/2018_NL_Central_Analysis.ipynb

Imports necessary libraries for data manipulation and visualization, and enables inline plotting for Jupyter notebooks.

```python
import pybaseball as pyball
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

%matplotlib inline
```

--------------------------------

### Initialize Analytics Client

Source: https://github.com/jldbc/pybaseball/blob/master/tests/pybaseball/data/team_fielding.html

Initializes the Assertive Analytics client, setting up error handling and local storage for analytics data. Includes options for debug mode.

```javascript
function w(e){console.error(e);var t=new XMLHttpRequest;t.open("POST",N+"/error.php",!0),t.setRequestHeader("Content-Type","text/plain"),t.send(JSON.stringify(e,Object.getOwnPropertyNames(e)))}
```

```javascript
!function(){function w(e){console.error(e);var t=new XMLHttpRequest;t.open("POST",N+"/error.php",!0),t.setRequestHeader("Content-Type","text/plain"),t.send(JSON.stringify(e,Object.getOwnPropertyNames(e)))}try{var U="1.9",N="https://api.assertcom.de",t="assertive_analytics_",R=P(),T=[],S=[],n=n||localStorage.getItem("assertiveYield")&&-1!==localStorage.getItem("assertiveYield").indexOf("debug")||-1!==u("assertiveYield").indexOf("debug")
```

--------------------------------

### Get Managers Data

Source: https://github.com/jldbc/pybaseball/blob/master/docs/lahman.md

Fetches data on managers by team and year.

```python
managers = managers()
```

--------------------------------

### New Relic API Initialization

Source: https://github.com/jldbc/pybaseball/blob/master/tests/pybaseball/data/team_pitching.html

Sets up the New Relic API with essential configuration like license key and application ID. This code is part of the New Relic JavaScript agent.

```javascript
window.NREUM||(NREUM={}),__nr_require=function(e,n,t){function r(t){if(!n[t]){var i=n[t]={exports:{}};e[t][0].call(i.exports,function(n){var i=e[t][1][n];return r(i||n)},i,i.exports)}return n[t].exports}if("function"==typeof __nr_require)return __nr_require;for(var i=0;i<t.length;i++)r(t[i]);return r}({1:[function(e,n,t){function r(){}function i(e,n,t){return function(){return o(e,[u.now()].concat(c(arguments)),n?null:this,t),n?void 0:this}}var o=e("handle"),a=e(5),c=e(6),f=e("ee").get("tracer"),u=e("loader"),s=NREUM;"undefined"==typeof window.newrelic&&(newrelic=s);var d=["setPageViewName","setCustomAttribute","setErrorHandler","finished","addToTrace","inlineHit","addRelease"],p="api-",l=p+"ixn-";a(d,function(e,n){s[n]=i(p+n,!0,"api")}),s.addPageAction=i(p+"addPageAction",!0),s.setCurrentRouteName=i(p+"routeName",!0),n.exports=newrelic,s.interaction=function(){return(new r).get()};var m=r.prototype={createTracer:function(e,n){var t={},r=this,i="function"==typeof n;return o(l+"tracer",[u.now(),e,t],r),function(){if(f.emit((i?"":"no-")+"fn-start",[u.now(),r,i],t),i)try{return n.apply(this,arguments)}catch(e){throw f.emit("fn-err",[arguments,this,e],t),e}finally{f.emit("fn-end",[u.now()],t)}}}};a("actionText,setName,setAttribute,save,ignore,onEnd,getContext,end,get".split(","),function(e,n){m[n]=i(l+n)}),newrelic.noticeError=function(e,n){"string"==typeof e&&(e=new Error(e)),o("err",[e,u.now(),!1,n])}}},{}]}),2:[function(e,n,t){function r(e,n){var t=e.getEntries();t.forEach(function(e){"first-paint"===e.name?d("timing",["fp",Math.floor(e.startTime)]):"first-contentful-paint"===e.name&&d("timing",["fcp",Math.floor(e.startTime)])})}function i(e,n){var t=e.getEntries();t.length>0&&d("lcp",[t[t.length-1]])}function o(e){e.getEntries().forEach(function(e){e.hadRecentInput||d("cls",[e])})}function a(e){if(e instanceof m&&!g){var n=Math.round(e.timeStamp),t={type:e.type};n<=p.now()?t.fid=p.now()-n:n>p.offset&&n<=Date.now()?(n-=p.offset,t.fid=p.now()-n):n=p.now(),g=!0,d("timing",["fi",n,t])}}function c(e){d("pageHide",[p.now(),e])}if(!("init"in NREUM&&"page_view_timing"in NREUM.init&&"enabled"in NREUM.init.page_view_timing&&NREUM.init.page_view_timing.enabled===!1)){var f,u,s,d=e("handle"),p=e("loader"),l=e(4),m=NREUM.o.EV;if("PerformanceObserver"in window&&"function"==typeof window.PerformanceObserver){f=new PerformanceObserver(r);try{f.observe({entryTypes:["paint"]})}catch(v){}u=new PerformanceObserver(i);try{u.observe({entryTypes:["largest-contentful-paint"]})}catch(v){}s=new PerformanceObserver(o);try{s.observe({type:"layout-shift",buffered:!0})}catch(v){}}}if("addEventListener"in document){var g=!1,y=["click","keydown","mousedown","pointerdown","touchstart"];y.forEach(function(e){document.addEventListener(e,a,!1)})}l(c)}},{}]}),3:[function(e,n,t){function r(e,n){if(!i)return!1;if(e!==i)return!1;if(!n)return!0;if(!o)return!1;for(var t=o.split("."),r=n.split("."),a=0;a<r.length;a++)if(r[a]!==t[a])return!1;return!0}var i=null,o=null,a=/Version\/(\S+)\s+Safari/;if(navigator.userAgent){var c=navigator.userAgent,f=c.match(a);f&&c.indexOf("Chrome")===-1&&c.indexOf("Chromium")===-1&&(i="Safari",o=f[1])}n.exports={agent:i,version:o,match:r}},{}
],4:[function(e,n,t){function r(e){function n(){e(a&&document[a]?document[a]:document[i]?
```

```javascript
window.NREUM||(NREUM={}),__nr_require=function(e,n,t){function r(t){if(!n[t]){var i=n[t]={exports:{}};e[t][0].call(i.exports,function(n){var i=e[t][1][n];return r(i||n)},i,i.exports)}return n[t].exports}if("function"==typeof __nr_require)return __nr_require;for(var i=0;i<t.length;i++)r(t[i]);return r}({1:[function(e,n,t){function r(){}function i(e,n,t){return function(){return o(e,[u.now()].concat(c(arguments)),n?null:this,t),n?void 0:this}}var o=e("handle"),a=e(5),c=e(6),f=e("ee").get("tracer"),u=e("loader"),s=NREUM;"undefined"==typeof window.newrelic&&(newrelic=s);var d=["setPageViewName","setCustomAttribute","setErrorHandler","finished","addToTrace","inlineHit","addRelease"],p="api-",l=p+"ixn-";a(d,function(e,n){s[n]=i(p+n,!0,"api")}),s.addPageAction=i(p+"addPageAction",!0),s.setCurrentRouteName=i(p+"routeName",!0),n.exports=newrelic,s.interaction=function(){return(new r).get()};var m=r.prototype={createTracer:function(e,n){var t={},r=this,i="function"==typeof n;return o(l+"tracer",[u.now(),e,t],r),function(){if(f.emit((i?"":"no-")+"fn-start",[u.now(),r,i],t),i)try{return n.apply(this,arguments)}catch(e){throw f.emit("fn-err",[arguments,this,e],t),e}finally{f.emit("fn-end",[u.now()],t)}}}};a("actionText,setName,setAttribute,save,ignore,onEnd,getContext,end,get".split(","),function(e,n){m[n]=i(l+n)}),newrelic.noticeError=function(e,n){"string"==typeof e&&(e=new Error(e)),o("err",[e,u.now(),!1,n])}}},{}]}),2:[function(e,n,t){function r(e,n){var t=e.getEntries();t.forEach(function(e){"first-paint"===e.name?d("timing",["fp",Math.floor(e.startTime)]):"first-contentful-paint"===e.name&&d("timing",["fcp",Math.floor(e.startTime)])})}function i(e,n){var t=e.getEntries();t.length>0&&d("lcp",[t[t.length-1]])}function o(e){e.getEntries().forEach(function(e){e.hadRecentInput||d("cls",[e])})}function a(e){if(e instanceof m&&!g){var n=Math.round(e.timeStamp),t={type:e.type};n<=p.now()?t.fid=p.now()-n:n>p.offset&&n<=Date.now()?(n-=p.offset,t.fid=p.now()-n):n=p.now(),g=!0,d("timing",["fi",n,t])}}function c(e){d("pageHide",[p.now(),e])}if(!("init"in NREUM&&"page_view_timing"in NREUM.init&&"enabled"in NREUM.init.page_view_timing&&NREUM.init.page_view_timing.enabled===!1)){var f,u,s,d=e("handle"),p=e("loader"),l=e(4),m=NREUM.o.EV;if("PerformanceObserver"in window&&"function"==typeof window.PerformanceObserver){f=new PerformanceObserver(r);try{f.observe({entryTypes:["paint"]})}catch(v){}u=new PerformanceObserver(i);try{u.observe({entryTypes:["largest-contentful-paint"]})}catch(v){}s=new PerformanceObserver(o);try{s.observe({type:"layout-shift",buffered:!0})}catch(v){}}}if("addEventListener"in document){var g=!1,y=["click","keydown","mousedown","pointerdown","touchstart"];y.forEach(function(e){document.addEventListener(e,a,!1)})}l(c)}},{}]}),3:[function(e,n,t){function r(e,n){if(!i)return!1;if(e!==i)return!1;if(!n)return!0;if(!o)return!1;for(var t=o.split("."),r=n.split("."),a=0;a<r.length;a++)if(r[a]!==t[a])return!1;return!0}var i=null,o=null,a=/Version\/(\S+)\s+Safari/;if(navigator.userAgent){var c=navigator.userAgent,f=c.match(a);f&&c.indexOf("Chrome")===-1&&c.indexOf("Chromium")===-1&&(i="Safari",o=f[1])}n.exports={agent:i,version:o,match:r}},{}
],4:[function(e,n,t){function r(e){function n(){e(a&&document[a]?document[a]:document[i]?
```

```javascript
hidden":"visible")}
```

--------------------------------

### GET bwar_pitch

Source: https://github.com/jldbc/pybaseball/blob/master/docs/bwar_pitch.md

Retrieves WAR statistics for pitchers from Baseball Reference.

```APIDOC
## GET bwar_pitch

### Description
Retrieves Baseball Reference's WAR stats from the war_daily_pitch table, including additional data not found in pitching_stats_bref().

### Parameters
#### Query Parameters
- **return_all** (bool) - Optional - If True, returns all fields from the war_daily_pitch table. If False, returns a subset of columns. Defaults to False.

### Request Example
```python
from pybaseball import bwar_pitch

# Get standard subset
data = bwar_pitch(return_all=False)

# Get all fields
data = bwar_pitch(return_all=True)
```
```

--------------------------------

### GET statcast_batter_pitch_arsenal

Source: https://github.com/jldbc/pybaseball/blob/master/docs/statcast_batter.md

Retrieves outcome data for batters split by pitch type.

```APIDOC
## GET statcast_batter_pitch_arsenal

### Description
Retrieves outcome data for batters split by the pitch type in a given year.

### Parameters
#### Query Parameters
- **year** (integer) - Required - The year for data retrieval (YYYY).
- **minPA** (integer) - Optional - Minimum number of plate appearances. Defaults to 25.
```

--------------------------------

### Configure Prebid.js and GPT Ad Slots

Source: https://github.com/jldbc/pybaseball/blob/master/tests/pybaseball/data/batting_leaders.html

Initializes Prebid.js settings and defines Google Publisher Tag ad slots for the page.

```javascript
var assertive_entityId = 'icEJRauCAzF8SFWAw'; var assertive_debug = 0; // append the query string 'assertiveYield=debug' or add this local storage entry 'localStorage.setItem("assertiveYield", "debug")' to enable dynamically var assertive_sampleRate = 1; // 1 = 100%, 0.2 = 20%... var assertive_timeout = null; var assertive_layout = null; var assertive_userState = null; assertive_timeout = PREBID_TIMEOUT; var googletag = googletag || {}; googletag.cmd = googletag.cmd || []; googletag.cmd.push(function () { googletag.pubads().disableInitialLoad(); }); pbjs.que.push(function () { pbjs.addAdUnits(adUnits); pbjs.setConfig({ priceGranularity: customConfigObject, enableSendAllBids: false, targetingControls: { alwaysIncludeDeals: true } }); pbjs.requestBids({ bidsBackHandler: sendAdserverRequest }); }); function sendAdserverRequest() { if (pbjs.adserverRequestSent) return; pbjs.adserverRequestSent = true; googletag.cmd.push(function () { pbjs.que.push(function () { pbjs.setTargetingForGPTAsync(); googletag.pubads().refresh(); }); }); } setTimeout(function () { sendAdserverRequest(); }, PREBID_TIMEOUT);
```

```javascript
googletag.cmd.push(function () { googletag.defineSlot('/1128006/ROS-BTF-2', [[300, 250]], 'div-gpt-ad-1349421924281-9').addService(googletag.pubads()); googletag.defineSlot('/1128006/ROS-Footer', [[728, 90]], 'div-gpt-ad-1349421924281-10').addService(googletag.pubads()); googletag.defineSlot('/1128006/RoS_300x250', [[300, 250]], 'div-gpt-ad-1349421924281-13').addService(googletag.pubads()); var admapsize14 = googletag.sizeMapping().addSize([800, 600], [728, 90]).addSize([0, 0], [320, 50]).build(); googletag.defineSlot('/1128006/ROS_728x90', [[728, 90], [320, 50]], 'div-gpt-ad-1349421924281-14').defineSizeMapping(admapsize14).addService(googletag.pubads()); googletag.pubads().enableSingleRequest(); googletag.enableServices(); });
```

--------------------------------

### Initialize Web Environment and Browser Detection

Source: https://github.com/jldbc/pybaseball/blob/master/tests/pybaseball/data/amateur_draft.html

This script initializes global variables for production status, language settings, and detects browser types including Opera Mini, Firefox, IE, and Safari.

```javascript
var sr_is_production = true; function vjs_getUrlParameter(e){e=e.replace(/[\[]/,"\\[").replace(/[\]]/,"\\]");e=new RegExp("[\\?&]"+e+"=([^&#]*)").exec(location.search);return null===e?"":decodeURIComponent(e[1].replace(/\+/g," "))}document.lang="","/es/"===window.location.pathname.substr(0,4)?document.lang="es":"/pt/"===window.location.pathname.substr(0,4)?document.lang="pt":"/fr/"===window.location.pathname.substr(0,4)?document.lang="fr":"/it/"===window.location.pathname.substr(0,4)?document.lang="it":"/de/"===window.location.pathname.substr(0,4)?document.lang="de":(window.location.pathname.substr(0,4),document.lang="en"),vjs_getUrlParameter("lang")&&(document.lang=vjs_getUrlParameter("lang")),document.srdev=null,vjs_getUrlParameter("srdev")&&(document.srdev=vjs_getUrlParameter("srdev"));var el,log_performance=!0,is_new_jscss_version=!1,sr_detect_operaMini=-1<navigator.userAgent.indexOf("Opera Mini"),sr_detect_firefox=(sr_detect_operaMini&&((el=document.querySelector("html")).className=el.className.concat(" operamini")),-1<navigator.userAgent.indexOf("Firefox")),sr_detect_firefoxMobile=(sr_detect_firefox&&((el=document.querySelector("html")).className=el.className.concat(" firefox")),-1<navigator.userAgent.indexOf("Firefox")&&(-1<navigator.userAgent.indexOf("Mobile")||-1<navigator.userAgent.indexOf("Tablet"))),sr_detect_ie=(sr_detect_firefoxMobile&&((el=document.querySelector("html")).className=el.className.concat(" firefox-mobile")),function(){var e=window.navigator.userAgent;if(0<e.indexOf("Trident/7.0"))return 11;if(0<e.indexOf("Trident/6.0"))return 10;if(0<e.indexOf("Trident/5.0"))return 9;for(var t=3,n=document.createElement("div"),r=n.getElementsByTagName("i");n.innerHTML="\x3c!--[if gt IE "+ ++t+"]><i></i><![endif]--\x3e",r[0];);return 4<t&&t}()),sr_detect_edge=!sr_detect_ie&&!!window.StyleMedia,sr_detect_safari=/Safari/.test(navigator.userAgent)&&/Apple Computer/.test(navigator.vendor),className="no-js",patt=((el=document.querySelector("html")).classList?el.classList.remove(className):el.className=el.className.replace(new RegExp("(^|\\b)"+className.split(" ").join("|")+"(\\b|$)","gi")," "),el.className=el.className.concat(" js"),!function(a,d,S){function E(e,t){return typeof e===t}function T(e){return"function"!=typeof d.createElement?d.createElement(e):m?d.createElementNS.call(d,"http://www.w3.org/2000/svg",e):d.createElement.apply(d,arguments)}function R(e,t,n,r){var o,i,a,s,l="modernizr",c=T("div");(s=d.body)||((s=T(m?"svg":"body")).fake=!0);if(parseInt(n,10))for(;n--;)(i=T("div")).id=r?r[n]:l+(n+1),c.appendChild(i);return(o=T("style")).type="text/css",o.id="s"+l,(s.fake?s:c).appendChild(o),s.appendChild(c),o.id=l,s.fake&&(s.style.background="",s.style.overflow="hidden",a=u.style.overflow,u.style.overflow="hidden",u.appendChild(s)),o=t(c,e),s.fake?(s.parentNode.removeChild(s),u.style.overflow=a,u.offsetHeight):c.parentNode.removeChild(c),!!o}function U(e){return e.replace(/([a-z])-([a-z])/g,function(e,t,n){return t+n.toUpperCase()}).replace(/^-/,"")}function D(e){return e.replace(/([A-Z])/g,function(e,t){return"-"+t.toLowerCase()}).replace(/^ms-/,"-ms-")}function q(e,t){var n=e.length;if("CSS"in a&&"supports"in a.CSS){for(;n--;)if(a.CSS.supports(D(e[n]),t))return!0;return!1}if("CSSSupportsRule"in a){for(var r=[];n--;)r.push("("+D(e[n])+":"+t+")");return R("@supports ("+(r=r.join(" or "))+") { #modernizr { position: absolute; } }",function(e){return"absolute"==(e=e,t=null,n="position","getComputedStyle"in a?(r=getComputedStyle.call(a,e,t),o=a.console,null!==r?n&&(r=r.getPropertyValue(n)):o&&o[o.error?"error":"log"].call(o,"getComputedStyle returning null, its possible modernizr test results are inaccurate")):r=!t&&e.currentStyle&&e.currentStyle[n],r);var t,n,r,o})}return S}function r(e,t,n,r,o){var i,a,s=e.charAt(0).toUpperCase()+e.slice(1),l=(e+" "+re.join(s+" ")+s).split(" ");if(E(t,"string")||void 0===t){var c=l,d=t,u=r,m=o;function f(){p&&(delete L.style,delete L.modElem)}if(m=void 0!==m&&m,void 0!==u){r=q(c,u);if(void 0!==r)return r}for(var p,h,g,v,_,y=["modernizr","tspan","samp"];!L.style&&y.length;)p=!0,L.modElem=T(y.shift()),L.style=L.modElem.style;for(g=c.length,h=0;h<g;h++)if(v=c[h],_=L.style[v],~(""+v).indexOf("-")&&(v=U(v)),L.style[v]!==S){if(m||void 0===u)return f(),"pfx"!=d||v;try{L.style[v]=u}catch(e){}if(L.style[v]!=_)return f(),"pfx"!=d||v}return f(),!1}var w=l=(e+" "+P.join(s+" ")+s).split(" "),b=t,x=n;for(a in w)if(w[a]in b)if(!1===x)return w[a];else{i=b[w[a]];if(E(i,"function")){var M=i;var z=x||b;return function(){return M.apply(z,arguments)};return}else return i}return!1}function F(e,t,n){return r(e,S,S,t,n)}var $=[],o=[],e={_version:"3.6.0",_config:{classPrefix:"",enableClasses:!0,enableJSClass:!0,usePrefixes:!0},_q:[],on:function(e,t){var n=this;setTimeout(function(){t(n[e])},0)},addTes
```

--------------------------------

### GET statcast_batter_exitvelo_barrels

Source: https://github.com/jldbc/pybaseball/blob/master/docs/statcast_batter.md

Retrieves batted ball data for all batters in a given year.

```APIDOC
## GET statcast_batter_exitvelo_barrels

### Description
Retrieves batted ball data for all batters in a given year, filtered by minimum batted ball events.

### Parameters
#### Query Parameters
- **year** (integer) - Required - The year for data retrieval (YYYY).
- **minBBE** (integer) - Optional - Minimum number of batted ball events.
```

--------------------------------

### GET batting_stats_bref

Source: https://github.com/jldbc/pybaseball/blob/master/docs/batting_stats_bref.md

Fetches batting statistics from Baseball Reference for a specified season.

```APIDOC
## GET batting_stats_bref

### Description
Retrieves batting statistics from Baseball Reference for a given season. Note that data is only available from 2008 to the present.

### Parameters
#### Query Parameters
- **season** (integer) - Optional - The season to retrieve data for. If omitted, defaults to the current calendar year.

### Request Example
```python
from pybaseball import batting_stats_bref

# Retrieve data for the 2009 season
data = batting_stats_bref(2009)
```

### Response
#### Success Response (200)
- **data** (DataFrame) - A pandas DataFrame containing the batting statistics for the requested season.
```

--------------------------------

### HTML5 Shiv: Initialization and CSS Handling

Source: https://github.com/jldbc/pybaseball/blob/master/tests/pybaseball/data/amateur_draft_by_team.html

This function initializes the HTML5 Shiv, ensuring that necessary CSS rules for HTML5 elements are applied. It handles shivCSS and shivMethods configurations.

```javascript
function i(e){var t,n,r=p(e=e||l);return!y.shivCSS||c||r.hasCSS||(r.hasCSS=!!I(e,"article,aside,dialog,figcaption,figure,footer,header,hgroup,main,nav,section{display:block}mark{background:#FF0;color:#000}template{display:none}")),h||(t=e,(n=r).cache||(n.cache={},n.createElem=t.createElement,n.createFrag=t.createDocumentFragment,n.frag=n.createFrag()),t.createElement=function(e){return y.shivMethods?W(e,t,n):n.createElem(e)},t.createDocumentFragment=Function("h,f","return function(){var n=f.cloneNode(),c=n.createElement;h.shivMethods&&("+f().join().replace(/[\[\\w\\-: ]+/g,function(e){return n.createElem(e),n.frag.createElement(e),'c("'+e+'")'})+") ;return n}")(y,n.frag)),e}
```

--------------------------------

### Initialize Quantcast Choice Script

Source: https://github.com/jldbc/pybaseball/blob/master/tests/pybaseball/data/amateur_draft.html

This script initializes the Quantcast Choice CMP (Consent Management Platform) by dynamically creating and inserting a script tag into the document. It handles host detection, URL construction, and ensures the script is loaded asynchronously. It also sets up a stub for the TCF API and USP API to manage consent signals.

```javascript
(function() { var host = window.location.hostname; var element = document.createElement('script'); var firstScript = document.getElementsByTagName('script')[0]; var url = 'https://cmp.quantcast.com' .concat('/choice/', 'XwNYEpNeFfhfr', '/', host, '/choice.js?tag_version=V2'); var uspTries = 0; var uspTriesLimit = 3; element.async = true; element.type = 'text/javascript'; element.src = url; firstScript.parentNode.insertBefore(element, firstScript); function makeStub() { var TCF_LOCATOR_NAME = '__tcfapiLocator'; var queue = []; var win = window; var cmpFrame; function addFrame() { var doc = win.document; var otherCMP = !!(win.frames[TCF_LOCATOR_NAME]); if (!otherCMP) { if (doc.body) { var iframe = doc.createElement('iframe'); iframe.style.cssText = 'display:none'; iframe.name = TCF_LOCATOR_NAME; doc.body.appendChild(iframe); } else { setTimeout(addFrame, 5); } } return !otherCMP; } function tcfAPIHandler() { var gdprApplies; var args = arguments; if (!args.length) { return queue; } else if (args[0] === 'setGdprApplies') { if ( args.length > 3 && args[2] === 2 && typeof args[3] === 'boolean' ) { gdprApplies = args[3]; if (typeof args[2] === 'function') { args[2]('set', true); } } } else if (args[0] === 'ping') { var retr = { gdprApplies: gdprApplies, cmpLoaded: false, cmpStatus: 'stub' }; if (typeof args[2] === 'function') { args[2](retr); } } else { if(args[0] === 'init' && typeof args[3] === 'object') { args[3] = Object.assign(args[3], { tag_version: 'V2' }); } queue.push(args); } } function postMessageEventHandler(event) { var msgIsString = typeof event.data === 'string'; var json = {}; try { if (msgIsString) { json = JSON.parse(event.data); } else { json = event.data; } } catch (ignore) {} var payload = json.__tcfapiCall; if (payload) { window.__tcfapi( payload.command, payload.version, function(retValue, success) { var returnMsg = { __tcfapiReturn: { returnValue: retValue, success: success, callId: payload.callId } }; if (msgIsString) { returnMsg = JSON.stringify(returnMsg); } if (event && event.source && event.source.postMessage) { event.source.postMessage(returnMsg, '*'); } }, payload.parameter ); } } while (win) { try { if (win.frames[TCF_LOCATOR_NAME]) { cmpFrame = win; break; } } catch (ignore) {} if (win === window.top) { break; } win = win.parent; } if (!cmpFrame) { addFrame(); win.__tcfapi = tcfAPIHandler; win.addEventListener('message', postMessageEventHandler, false); } }; makeStub(); var uspStubFunction = function() { var arg = arguments; if (typeof window.__uspapi !== uspStubFunction) { setTimeout(function() { if (typeof window.__uspapi !== 'undefined') { window.__uspapi.apply(window.__uspapi, arg); } }, 500); } }; var checkIfUspIsReady = function() { uspTries++; if (window.__uspapi === uspStubFunction && uspTries < uspTriesLimit) { console.warn('USP is not accessible'); } else { clearInterval(uspInterval); } }; if (typeof window.__uspapi === 'undefined') { window.__uspapi = uspStubFunction; var uspInterval = setInterval(checkIfUspIsReady, 6000); } })();
```