# data[].attributes.body
import pandas as pd
d={"Name":["Rohit","Jadeja","Kohli"],"Wins":[25,42,36],"Lose":[10,14,11]}
Dfrm=pd.DataFrame(d)
Print(Dfrm)

# data[].attributes.body
import pandas as pd
d={"Name":["Kaif", "Virat"," Dhoni"], "Wins": [10, 20,30], "Lose": [5,9,5]}
df=pd.DataFrame(d)
Print(df)

# data[].attributes.body
Simran
import pandas as pd
d={"name": ["dhoni", "virat", "rohit"] , "wins": [5, 6,3] , "lose":[3, 2,5]}
Cricketers=pd.Dataframe(d)
Print(cricketers)

# data[].attributes.body
import pandas as pd
d={"name":["sachin tendulkar","rohit sharma","virat kohli"],"wins":[101,102,201], "lose":[21,12,8]}
df1=pd.DataFrame(d1)
print(df1)

# data[].attributes.body
import pandas as pd
d={"Name":["Virat","Rohit","Dhoni"],"Wins":[5,3,6],"Lose":[2,3,2]}
df=pd.DataFrame(d)
print(df)

# data[].attributes.body
Garima Jain
import pandas as pd
d={"Name":["Virat Kholi","Ms Dhoni","Rohit Sharma"],"Wins":[21,41,12],"Loses":[12,16,9]}
df=pd.DataFrame(d)
print(df)

# data[].attributes.body
import pandas as pd
d={"name":["virat kohli","shikhar dhawan"],"wins":[201,102],
"lose":[21,5]}
df1=pd.DataFrame(d1)
print(df1)

# data[].attributes.body
import pandas as pd
d={"Name":["Virat Kohli","Ms Dhoni"," Hardik Pandya"],"Wins":[2,3,4],"Lose":[5,6,7]}
df=pd.DataFrame(d)
print(df)

# data[].attributes.body
import pandas as pd
d={"name": ["hardik pandya","virat kohli","rohit sharma"], "wins" :[50,90,75], "losses" : [2,4,6]}
df= pd.DataFrame(d)
print(df)

# data[].attributes.body
import pandas as pd
d={"Name":["Rohit Sharma","virat kholi","hardik pandya"], "wins:[30,34,58], "Lose":[10,15,20]}
df=pd.DataFrame(d1)
print(df)

# data[].attributes.body
import pandas as pd
M1 ={"Names ": [" Hardik Pandya", "Virat Kohli" , "Rohit Sharma "]," Wins ": [89,99,67],"Loses  " :[11,1,23]}
M = pd.DataFrame(d1)
print(d1)

# data[].attributes.body
import pandas as pd
d={"name":["virat","rahul","yuzvendra"],"wins":[23,24,25],"lose":[4,5,6]
f=pd.DataFrame(d)
print(f)

# data[].attributes.body
import pandas as pd
d = {"Name" :[ "Kaif" , "Virat" , "Dhoni"] , ["Wins" 10 , 20 , 30 ] , ["Lose" 5 , 8 , 3]}
df = pd.DataFrame(d)
print(df)

# data[].attributes.body
import pandas as pd
dic={"PlayerName":["Virat","Sachin","Dhoni"],"Wins":[5,2,4],"Losses":[3,2,1]}
players=pd.DataFrame(dic)
print(players)

# data[].attributes.body
import pandas as pd
d={"Name":["kaif",ishaan","sachin"],"wins":[2,3,4],"lose":[2,2,4]}
df=pd.DataFrame(d)
print(df)

# data[].attributes.body
import pandas as pd
d1={"Name" : ["Ms Dhoni","Virat Kohli","Virendra Sehwag"], "Wins : [57,62,84], "Lose" : [10,15,20]}
df1=pd.DataFrame(d1)
print(df1)

# data[].attributes.body
import pandas as pd
d={"Names":["Rohit","Virat","Dhoni"],
"Wins":[20,22,25],
"Lose":[10,6,2]}
df=pd.DataFrame(d)
print(d)

# data[].attributes.body
import pandas as pd
d={"Name":["Dhoni","Kohli","Rohit"],
"Wins":[6,7,6],
"Lose":[6,2,2]}

df=pd.DataFrame(d)
print(df)

# data[].attributes.body
import pandas as pd
d={"Name":["Rohit","Dhoni","Hardik"],"Wins":[10,14,15],"Loses":[3,2,0]}
df=pd.DataFrame(d)
print(df)

# data[].attributes.body
import pandas as pd
d={"name":["Sachin","Virat","hardik"],"win":[1,1,1],"lost":[0,1,1]}
cricketers=pd.DataFrame(d)
print(cricketers)

# data[].attributes.body
import pandas as pd
d={"Name":["rahul","virat","rohit"],"Wins":[4,5,6],"Lose":[1,2,3]}
df=pd.DataFrame(d)
print(df)

# data[].attributes.body
import pandas as pd
d={"Name":["Virat","Steve","Kane"],"Wins":[53,52,51], "Lose": [52,65,79]}
df=pd.DataFrame(d)
print(df)