BlueSCar

import cfbd
import matplotlib.pyplot as plt
from matplotlib.offsetbox import OffsetImage, AnnotationBbox
import matplotlib.cbook as cbook
import matplotlib.image as image
import pandas as pd


from PIL import Image

BlueSCar

import cfbd
import numpy as np
import pandas as pd

configuration = cfbd.Configuration()
configuration.api_key['Authorization'] =  'YOUR_API_KEY'
configuration.api_key_prefix['Authorization'] = 'Bearer'
api_config = cfbd.ApiClient(configuration)

games_api = cfbd.GamesApi(api_config)

BlueSCar

class PermutationImportance():
  def __init__(self, learn:Learner, df=None, bs=None):
    "Initialize with a test dataframe, a learner, and a metric"
    self.learn = learn
    self.df = df
    bs = bs if bs is not None else learn.dls.bs
    if self.df is not None:
      self.dl = learn.dls.test_dl(self.df, bs=bs)
    else:
      self.dl = learn.dls[1]

BlueSCar

import cfbd
import matplotlib.pyplot as plt
from matplotlib.offsetbox import OffsetImage, AnnotationBbox
import pandas as pd

# Grab some stats from the CFBD API
stats = cfbd.StatsApi().get_advanced_team_season_stats(year=2020)
df = pd.DataFrame.from_records([dict(team=s.team, o_line_yards=s.offense.line_yards, d_line_yards=s.defense.line_yards) for s in stats])

# Need to grab team ids

BlueSCar

import cfbd
import pandas as pd

games = cfbd.GamesApi().get_team_game_stats(year=2020, week=1)

stats = []
for g in games:
    for t in g.teams:
        for s in t.stats:
            stats.append(dict(game_id=g.id, team=t.school, conference=t.conference, category=s.category, stat=s.stat))

BlueSCar

import numpy as np
import pandas as pd
import requests

pd.set_option('display.float_format', lambda x: '%.8f' % x)

season = 2
day = 3

response = requests.get('https://collegefootballrisk.com/api/territories', params={'season': season, 'day': day})

BlueSCar

import pandas as pd
import requests

response = requests.get(
    "https://api.collegefootballdata.com/games/players",
    params={"year": 2019, "week": "1"}
)

records = pd.io.json.json_normalize(
    response.json(),

BlueSCar

[{
    typeId: 3,
    regex: /(?:Fumble by [^,]+, )?(?:([A-Z][^,\s]+(?: [A-Z][^,\s]+)+)|(?:N\/A))(?:(?: pass incomplete(?: to )*)([A-Z][^,\s]+(?: [A-Z'][^,\s]*)+)*)*(?:(?:, broken up by )([A-Z][^,\s]+(?: [A-Z][^,\s]+)+))*/g,
    types: [{
        id: 1,
        isOffense: true,
        yardageStat: false
    }, {
        id: 2,
        isOffense: true,