For example:
Team | User |
---|---|
USA | Mark |
England | Sean |
India | Sri |
assigning users to different teams randomly
CodePudding user response:
You could use shuffle
to shuffle a user list;
from random import shuffle
teams = ['USA', 'England', 'India']
users = ['Mark', 'Sean', 'Sri']
shuffle(users)
print([(t,u) for t,u in zip(teams, users)])
To assign multiple teams to a player, you can use iter()
to ensure there are no duplicates
from random import shuffle
teams = ['USA', 'England', 'India','France', 'Brazil', 'Australia']
users = ['Mark', 'Sean', 'Sri']
shuffle(teams)
teams_iter = iter(teams)
print([(u,(t1,t2)) for u,t1,t2 in zip(users, teams_iter, teams_iter )])
CodePudding user response:
In random module use choice
from random import choice
choice(['USA','England','India'])
'India'
For a dataframe of users you could use lambda to get a random choice for each user:
df.apply (lambda x: choice(['USA','England','India']))
CodePudding user response:
Here a posible solution
from random import randrange
User = ['Mark', 'Sean', 'Sri']
Team = ['USA', 'England', 'India']
_range = len(User)
new_list = []
while len(new_list) != _range:
try:
rr = randrange( len(Team) );
new_list.append( [Team.pop(), User.pop( rr ) ] )
except:
""
print(new_list)