We have seen how to manipulate a dataset using the following tools of the numpy library:
- Indexing and Selection
- Slicing
- Filters
- Pandas
By the completing this Assignment you will get hands-on practice with advanced techniques like creating, manipulating and accessing the information needed from data structures.
This assignment continues with the same IPL dataset we have been using. Let's get our hands dirty!
By completing this project you have an opportunity to win 650 points
Tip:
A good way to get the integer indexes for columns is to enumerate() them
cols = ['match_code', 'date', 'city', 'team1', 'team2', 'toss_winner', 'toss_decision', 'winner','win_type',
'win_margin', 'inning', 'delivery', 'batting_team', 'batsman', 'non_striker', 'bowler', 'runs', 'extras',
'total', 'extras_type', 'player_out', 'wicket_kind', 'wicket_fielders']
list(enumerate(cols))