KING_KOHLI:-

a =["Virat Kohli,one of the most of the celebrated cricketers has amassed and numerous awards and records throughout his career."]

print(a)

OUTPUT:-

Virat Kohli,one of the most of the celebrated cricketers has amassed and numerous awardsa nd records throughout his career.

KOHLI_AWARDS_OF_THE_YEAR:-

#import module

from tabulate import tabulate

# assigns data

mydata = [["ICC Cricketer of the year",2017,2018],

          ["ODI Player of the year",2012,2017,2018,2023],

          ["Test Player of the year",2018],

          ["ICC Cricketer of the Decade",2011,2018],

          ["Spirit of cricket",2019],

          ["Wished leading cricketer",2016,2017,2018],

          ["Khel ratna award ",2018]]

# create header

head = ["Awards","Year","Year"]

# display table

print(tabulate(mydata,headers=head,tablefmt="grid"))

OUTPUT:-

+-----------------------------+--------+--------+

| Awards | Year | Year |

+=============================+========+========+

| ICC Cricketer of the year | 2017 | 2018 |

+-----------------------------+--------+--------+

| ODI Player of the year | 2012 | 2017 |

+-----------------------------+--------+--------+

| Test Player of the year | 2018 | |

+-----------------------------+--------+--------+

| ICC Cricketer of the Decade | 2011 | 2018 |

+-----------------------------+--------+--------+

| Spirit of cricket | 2019 | |

+-----------------------------+--------+--------+

| Wished leading cricketer | 2016 | 2017 |

+-----------------------------+--------+--------+

| Khel ratna award | 2018 | |

+---------------------------

STATISTICS:-

import matplotlib.pyplot as plt

fig,ax1 = plt.subplots()

years = [2017,2018,2012,2017,2018,2011,2018,2011,2018,2019,2016,2017,2018]

first = [1,2,1,2,1,2,1,2,1,2,1,2,1]

second = [10,15,17,11,12,18,13,11,15,16,19,20,10]

ax1.plot(years,first,color="blue")

ax2 = ax1.twinx()

ax2.plot(years,first,color="green")

plt.show()

OUTPUT:-


import matplotlib.pyplot as plt
labels=['Test Centuries','Test Fifities','ODIS Centuries','ODIS Fifities','T20s Centuries','T20s Fifities']
sizes=[29,30,54,80,1,38]
plt.pie(sizes,labels=labels,autopct='%1.1f%%',startangle=140)
plt.title('Records')
plt.show()
OUTPUT:-