In this lab, you'll practice using nested loops to iterate over nested data structures and create new collections. To do this, you'll be using data from a soccer match to practice our nested loops.
You will be able to:
- Use a nested loop when it is appropriate
Use nested loops and the below object, soccer_match, to complete the following prompts and get the desired return values.
# Run this cell without changes
soccer_match = [
{ "home_team": True,
"away_team": False,
"country": "France",
"num_passes": 484,
"passes_completed": 423,
"fouls_committed": 16,
"colors": ["blue", "white", "red"],
"players": [
{
"name": "Hugo LLORIS",
"captain": True,
"shirt_number": 1,
"position": "Goalie"
},
{
"name": "Benjamin PAVARD",
"captain": False,
"shirt_number": 2,
"position": "Defender"
},
{
"name": "Raphael VARANE",
"captain": False,
"shirt_number": 4,
"position": "Defender"
},
{
"name": "Samuel UMTITI",
"captain": False,
"shirt_number": 5,
"position": "Defender"
},
{
"name": "Paul POGBA",
"captain": False,
"shirt_number": 6,
"position": "Midfield"
},
{
"name": "Antoine GRIEZMANN",
"captain": False,
"shirt_number": 7,
"position": "Forward"
},
{
"name": "Kylian MBAPPE",
"captain": False,
"shirt_number": 10,
"position": "Forward"
},
{
"name": "Ousmane DEMBELE",
"captain": False,
"shirt_number": 11,
"position": "Forward"
},
{
"name": "Corentin TOLISSO",
"captain": False,
"shirt_number": 12,
"position": "Midfield"
},
{
"name": "Ngolo KANTE",
"captain": False,
"shirt_number": 13,
"position": "Midfield"
},
{
"name": "Lucas HERNANDEZ",
"captain": False,
"shirt_number": 21,
"position": "Defender"
}
],
},
{ "home_team": False,
"away_team": True,
"country": "Australia",
"num_passes": 390,
"passes_completed": 332,
"fouls_committed": 19,
"colors": ["green", "gold"],
"players": [
{
"name": "Mathew RYAN",
"captain": False,
"shirt_number": 1,
"position": "Goalie"
},
{
"name": "Mark MILLIGAN",
"captain": False,
"shirt_number": 5,
"position": "Defender"
},
{
"name": "Mathew LECKIE",
"captain": False,
"shirt_number": 7,
"position": "Forward"
},
{
"name": "Robbie KRUSE",
"captain": False,
"shirt_number": 10,
"position": "Forward"
},
{
"name": "Andrew NABBOUT",
"captain": False,
"shirt_number": 11,
"position": "Forward"
},
{
"name": "Aaron MOOY",
"captain": False,
"shirt_number": 13,
"position": "Midfield"
},
{
"name": "Mile JEDINAK",
"captain": True,
"shirt_number": 15,
"position": "Midfield"
},
{
"name": "Aziz BEHICH",
"captain": False,
"shirt_number": 16,
"position": "Defender"
},
{
"name": "Joshua RISDON",
"captain": False,
"shirt_number": 19,
"position": "Defender"
},
{
"name": "Trent SAINSBURY",
"captain": False,
"shirt_number": 20,
"position": "Defender"
},
{
"name": "Tom ROGIC",
"captain": False,
"shirt_number": 23,
"position": "Midfield"
}
]
}
]Let's take a look at some properties of this nested data structure:
# Run this cell without changes
print("Information about soccer_match")
print("Type:", type(soccer_match))
print("Length:", len(soccer_match))
print()
print("Information about soccer_match[0]:")
print("Type:", type(soccer_match[0]))
print("Length:", len(soccer_match[0]))
print("Keys:", soccer_match[0].keys())
print("Values:", soccer_match[1].values())Before looking at the answer below, try to identify: what does soccer_match represent overall, and what does each record within soccer_match represent?
.
.
.
soccer_match represents a soccer match (game) containing a home team and an away team. Each record within soccer_match represents a team that participated in the match, and their associated stats.
In the cell below, iterate over the soccer_match list to create a new list with the name of the country for each team.
countries = []
# Your code here
countries # ['France', 'Australia']In the cell below, iterate over the soccer_match list to create a new list with the colors for each team.
This should be only one list containing strings for each of the country's colors, not a list of lists.
colors = []
# Your code here
colors # ['blue', 'white', 'red', 'green', 'gold']This time, iterate over the soccer_match list to create a new list with the players from each team. players should be a single list containing the dictionaries for each of the country's players.
players = []
# Your code here
print(players) # [{'name': 'Hugo LLORIS', 'captain': True, 'shirt_number': 1, 'position': 'Goalie'}, {'name': 'Benjamin PAVARD',...}, ...]Iterate over the soccer_match list to create a new list with the captains from each team.
This should be a single list containing the dictionaries for each of the countries' captains.
captains = []
# Your code here
captains # One captain per team:
# [{'name': 'Hugo LLORIS',
# 'captain': True,
# 'shirt_number': 1,
# 'position': 'Goalie'},
# {'name': 'Mile JEDINAK',
# 'captain': True,
# 'shirt_number': 15,
# 'position': 'Midfield'}]Iterate over the soccer_match list to create a new list with the players from ONLY the home team.
Do not "hard-code" which team this is; use the 'home_team' key.
home_team_players = []
# Your code here
home_team players
# [{'name': 'Hugo LLORIS',
# 'captain': True,
# 'shirt_number': 1,
# 'position': 'Goalie'},
# ...
# {'name': 'Lucas HERNANDEZ',
# 'captain': False,
# 'shirt_number': 21,
# 'position': 'Defender'}]Iterate over the soccer_match list to create a new list with the information for each of the away team players whose position is "Forward".
away_team_forwards = []
# Your code here
away_team_forwards
# [{'name': 'Mathew LECKIE',
# 'captain': False,
# 'shirt_number': 7,
# 'position': 'Forward'},
# {'name': 'Robbie KRUSE',
# 'captain': False,
# 'shirt_number': 10,
# 'position': 'Forward'},
# {'name': 'Andrew NABBOUT',
# 'captain': False,
# 'shirt_number': 11,
# 'position': 'Forward'}]Iterate over the soccer_match list and find the player with the highest shirt_number.
Store this player's information in the player_with_highest_num variable.
player_with_highest_num = None
# Your code here
player_with_highest_num
# {'name': 'Tom ROGIC',
# 'captain': False,
# 'shirt_number': 23,
# 'position': 'Midfield'}Notice that the players oddly have their last names in all caps. Create a list of all the names of the players in this match. Be sure to make sure their first and last names are properly capitalized (first letter upper case, proceeding letters lower case), as opposed to how they are currently formatted.
player_names = []
# Your code here
player_names
# ['Hugo Lloris',
# 'Benjamin Pavard',
# 'Raphael Varane',
# 'Samuel Umtiti',
# 'Paul Pogba',
# 'Antoine Griezmann',
# 'Kylian Mbappe',
# 'Ousmane Dembele',
# 'Corentin Tolisso',
# 'Ngolo Kante',
# 'Lucas Hernandez',
# 'Mathew Ryan',
# 'Mark Milligan',
# 'Mathew Leckie',
# 'Robbie Kruse',
# 'Andrew Nabbout',
# 'Aaron Mooy',
# 'Mile Jedinak',
# 'Aziz Behich',
# 'Joshua Risdon',
# 'Trent Sainsbury',
# 'Tom Rogic']In this lab, you practiced using nested loops to iterate through a nested data structure using data from a soccer match. Nested data structures can be quite complicated and it can become difficult to access more nested data. With nested loops, you are able to dynamically access this nested data and work with it as you would with a flatter data structure. It is important to think about the structure of the data before and while you're working so you know exactly what data you are working with at each level.