def getAll(start,end):
df1 = bball.team_pitching(start, end)
df2 = bball.team_batting(start_season=start, end_season=end, league='all', ind=1)
dfAll = dc.mergeFramesHow(df1, df2, ["Team", "Season"],'inner')
#print(dfAll.columns)
return dfAll
def get_stat():
if request.method == "POST":
stat = request.json["stat"]
year = request.json["year"]
if stat == "avg":
data = team_batting(year)
best_team = pd.DataFrame(data[data.AVG == data.AVG.max()])
best_team_name = best_team.values[0][2]
return jsonify({"success": True, "best_team": best_team_name})
elif stat == "obp":
data = team_batting(year)
best_team = pd.DataFrame(data[data.OBP == data.OBP.max()])
best_team_name = best_team.values[0][2]
return jsonify({"success": True, "best_team": best_team_name})
elif stat == "slg":
data = team_batting(year)
best_team = pd.DataFrame(data[data.SLG == data.SLG.max()])
best_team_name = best_team.values[0][2]
return jsonify({"success": True, "best_team": best_team_name})
elif stat == "ops":
data = team_batting(year)
best_team = pd.DataFrame(data[data.OPS == data.OPS.max()])
best_team_name = best_team.values[0][2]
return jsonify({"success": True, "best_team": best_team_name})
elif stat == "era":
data = team_pitching(year)
best_team = pd.DataFrame(data[data.ERA == data.ERA.min()])
best_team_name = best_team.values[0][2]
return jsonify({"success": True, "best_team": best_team_name})
elif stat == "fip":
data = team_pitching(year)
best_team = pd.DataFrame(data[data.FIP == data.FIP.min()])
best_team_name = best_team.values[0][2]
return jsonify({"success": True, "best_team": best_team_name})
elif stat == "whip":
data = team_pitching(year)
best_team = pd.DataFrame(data[data.WHIP == data.WHIP.min()])
best_team_name = best_team.values[0][2]
return jsonify({"success": True, "best_team": best_team_name})
def cmd_teambatting_upload(start_year, end_year, db_username, db_password,
db_hostname, db_name, db_tablename):
click.echo('[[[ PULLING TEAMBATTING DATAFRAME ]]]')
engine = initdb_batting(db_username, db_password, db_hostname, db_name,
db_tablename)
click.echo(str('Pulling data...'))
try:
data = team_batting(start_year, end_year)
data.columns = data.columns.str.replace('%', '')
upload_block(data, engine, db_tablename)
except Exception as exc:
click.echo("ERROR pulling down data - Error was = " + str(exc))
else:
click.echo(str('SUCCESS, pulled ' + str(data.shape[0]) + ' records'))
def team_info(): #need to finish!!
if request.method == "POST":
team = request.json["team"]
batting = team_batting(2021)
batting_team = pd.DataFrame(batting[batting.Team == team])
pitching = team_pitching(2021)
pitching_team = pd.DataFrame(pitching[pitching.Team == team])
wins = int(pitching_team.values[0][4])
losses = int(pitching_team.values[0][5])
home_runs = int(batting_team.iloc[0]['HR'])
winp = wins / (wins + losses)
ba = batting_team.iloc[0]["AVG"]
era = pitching_team.iloc[0]["ERA"]
return jsonify({
"success": True,
"wins": wins,
"losses": losses,
"winp": round(winp, 3),
"home_runs": home_runs,
"ba": ba,
"era": era
})
def __init__(self, year: int):
super().__init__(pybaseball.team_batting(year))
def yearGrab(currentSeason):
# Batting Stats
from pybaseball import batting_stats
BattingStats_Year = batting_stats(currentSeason, qual=1)
# print(BattingStats_Year.head()) # Test
BattingStats_Year.to_csv('data/YearlyData/temp/bstats.csv')
import pybaseball
#Team Batting Stats
BattingStats_Team_Year = pybaseball.team_batting(currentSeason)
BattingStats_Team_Year.to_csv('data/YearlyData/temp/team_bstats.csv')
# Pitching Stats
from pybaseball import pitching_stats
PitchingStats_Year = pitching_stats(currentSeason)
# print(PitchingStats_Year.head()) # Test
PitchingStats_Year.to_csv('data/YearlyData/temp/pstats.csv')
print(str(currentSeason) + " : Stats Grab: Successful")
# Team Pitching Stats
PitchingStats_Team_Year = pybaseball.team_pitching(currentSeason)
PitchingStats_Team_Year.to_csv('data/YearlyData/temp/team_pstats.csv')
"""
# Year Standings
if currentSeason >=1969:
from pybaseball import standings
# get the end-of-season division standings for each season
Standings = standings(currentSeason)
Standings.insert(0, 'Season', currentSeason)
Standings.to_csv('data/YearlyData/temp/team_standings.csv')
"""
"""
# Amateur Draft Data
if currentSeason >= 1965:
from pybaseball import amateur_draft
# Get amateur Draft Results
Number_Rounds = 30
RoundRange = list(range(1, Number_Rounds + 1))
for i in RoundRange:
#Pull season draft data 1 round at a time
Amateur_Draft = amateur_draft(currentSeason, i)
#Add Draft Year
Amateur_Draft.insert(0, 'Draft_Year', currentSeason)
# print(Amateur_Draft.head()) # Test
# Read file with all draft files so far
A_Draft = pd.read_csv('data/YearlyData/temp/amateur_draft.csv')
# Add New Round
A_Draft = A_Draft.append(Amateur_Draft, ignore_index=True)
#Save new round to File
A_Draft.to_csv('data/YearlyData/temp/amateur_draft.csv', sep=',', index=False, encoding='utf-8')
"""
# Exit Veolocity Data
from pybaseball import statcast_batter_exitvelo_barrels
Exit_Velocity = statcast_batter_exitvelo_barrels(currentSeason)
Exit_Velocity.insert(0, 'Season', currentSeason)
Exit_Velocity.to_csv('data/YearlyData/temp/statcast_exit_velocity.csv')
# FanGraph Data
import pybaseball
# Individual Batting Stats
fan_bat = pybaseball.batting_stats(currentSeason)
fan_bat.to_csv('data/YearlyData/temp/fan_bat.csv')
# Individual Pitching Stats
fan_pit = pybaseball.pitching_stats(currentSeason)
fan_pit.to_csv('data/YearlyData/temp/fan_pit.csv')
# Team Batting Stats
fan_team_bat = pybaseball.team_batting(currentSeason)
fan_team_bat.to_csv('data/YearlyData/temp/fan_team_bat.csv')
# Team Pitching Stats
fan_team_pit = pybaseball.team_pitching(currentSeason)
fan_team_pit.to_csv('data/YearlyData/temp/fan_team_pit.csv')
from pybaseball import top_prospects
# Get top overall prospects leaguewide
topProspects = top_prospects()
topProspects.to_csv('data/YearlyData/Top_Prospects.csv')
def profile_team_batting():
team_batting(2019)
import numpy as np
import pandas as pd
from pybaseball import schedule_and_record
from pybaseball import standings
import requests
from bs4 import BeautifulSoup
cyear = 2018
pyear = 2017
p_records = schedule_and_record(pyear, 'BOS')
standingsdata = standings(2016)
# unique Teams from batting stats
from pybaseball import team_batting
bsTeams = team_batting(2010, cyear)['Team'].unique()
#or
#list(set(team_batting(2010, cyear)['Team']))
# unique Teams from standings
from pybaseball import standings
sTeams = pd.concat(standings(pyear))['Tm'].unique()
import pandas as pd
import requests
from bs4 import BeautifulSoup
def gethtmltable(urlstring, tableindex=0):
page = requests.get(urlstring)
soup = BeautifulSoup(page.text, 'lxml')