Cricket Score analytics Using Python

DataSet:

1. First open Ms Excel
2. Declare Field name and Data
3. Next save excel file"cricketsports.csv"
4. its need save only comma delimiter(CSV) File

Folder Path:

1. First create project folder cricket
2. folder inside create folder "Match"(Its a function folder)

Program Code:

Folder cricket->cricket.py

import match
from match.teamA import*
match.teamA.teamAScore()
match.teamA.teamAattendbat()
match.teamA.teamAattendball()

Folder cricket->match->teamA.py

def teamAScore():
  import pandas as pd
  df=pd.read_csv("cricketsports.csv")
  x=df["Team A "].sum()
  y=120
  print("Team A Score:",int(x))
def teamAattendbat():
  import pandas as pd
  df=pd.read_csv("cricketsports.csv")
  from sklearn.metrics import accuracy_score 
  batattend=df["batattend"]
  batA=df["batA"]
  print('Bating Accuracy:',accuracy_score(batattend,batA))
def teamAattendball():
  import pandas as pd
  df=pd.read_csv("cricketsports.csv")
  ballA=df["balla"].count()
  print('Ball Accuracy:120 ball/',ballA,"ball")  

Output:

Code & Concept Copyrights@Saravanakumar from psktechnology