Defining Functions
Defining your own functions in Python allows you to create reusable blocks of code tailored to specific tasks. This is particularly useful in data analytics, where you often need to perform repetitive operations efficiently.
In Python, a function is a block of organized, reusable code that performs a single, related action. Functions help break down complex problems into smaller, manageable parts, making your code more modular and easier to understand.
Why Use Functions?
- Reusability: Write once, use multiple times. Functions allow you to reuse code without rewriting it.
- Modularity: Break down complex tasks into simpler, more manageable pieces.
- Readability: Functions make your code cleaner and easier to read.
To define a function in Python, use the def keyword, followed by the function name and parentheses (). Inside the parentheses, you can specify parameters that the function will accept. The function body is indented and contains the code to be executed. In this example, greet_player is a function that takes one parameter, player_name, and prints a greeting message. To execute a function, you need to call it by its name and provide any required arguments.
1234def greet_player(player_name): print(f"Hello, {player_name}! Welcome to the game.") greet_player("LeBron James")
Imagine you want to calculate the average points scored by a player over several games. You can define a function to perform this calculation.
12345678910def calculate_average(points_list): total_points = sum(points_list) number_of_games = len(points_list) average_points = total_points / number_of_games return average_points # Usage player_points = [25, 30, 22, 28] average = calculate_average(player_points) print(f"Average points per game: {average}")
Swipe to start coding
Your goal is to define count_games_by_season function that counts the total number of games for each NFL season from a list of game data
Input:
games_info: A list of dictionaries, where each dictionary contains information about a game, including a key'season'that indicates the season in which the game was played.
Steps:
-
Define the Function: Start by defining a function named
count_games_by_seasonthat takes one parameter:games_info. -
Initialize an Empty Dictionary: Create an empty dictionary
season_game_countto hold the count of games for each season. -
Iterate Over Each Game: Use a for loop to iterate over each game dictionary in the
games_infolist. -
Update the Dictionary:
- Extract the
'season'value from each game dictionary. - If the season is already a key in
season_game_count, increment its value by 1. - If the season is not a key, add it to the dictionary with an initial count of 1.
- Extract the
-
Return the Dictionary: Ensure the function returns the
season_game_countdictionary with the count of games for each season.
Solução
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Defining your own functions in Python allows you to create reusable blocks of code tailored to specific tasks. This is particularly useful in data analytics, where you often need to perform repetitive operations efficiently.
In Python, a function is a block of organized, reusable code that performs a single, related action. Functions help break down complex problems into smaller, manageable parts, making your code more modular and easier to understand.
Why Use Functions?
- Reusability: Write once, use multiple times. Functions allow you to reuse code without rewriting it.
- Modularity: Break down complex tasks into simpler, more manageable pieces.
- Readability: Functions make your code cleaner and easier to read.
To define a function in Python, use the def keyword, followed by the function name and parentheses (). Inside the parentheses, you can specify parameters that the function will accept. The function body is indented and contains the code to be executed. In this example, greet_player is a function that takes one parameter, player_name, and prints a greeting message. To execute a function, you need to call it by its name and provide any required arguments.
1234def greet_player(player_name): print(f"Hello, {player_name}! Welcome to the game.") greet_player("LeBron James")
Imagine you want to calculate the average points scored by a player over several games. You can define a function to perform this calculation.
12345678910def calculate_average(points_list): total_points = sum(points_list) number_of_games = len(points_list) average_points = total_points / number_of_games return average_points # Usage player_points = [25, 30, 22, 28] average = calculate_average(player_points) print(f"Average points per game: {average}")
Swipe to start coding
Your goal is to define count_games_by_season function that counts the total number of games for each NFL season from a list of game data
Input:
games_info: A list of dictionaries, where each dictionary contains information about a game, including a key'season'that indicates the season in which the game was played.
Steps:
-
Define the Function: Start by defining a function named
count_games_by_seasonthat takes one parameter:games_info. -
Initialize an Empty Dictionary: Create an empty dictionary
season_game_countto hold the count of games for each season. -
Iterate Over Each Game: Use a for loop to iterate over each game dictionary in the
games_infolist. -
Update the Dictionary:
- Extract the
'season'value from each game dictionary. - If the season is already a key in
season_game_count, increment its value by 1. - If the season is not a key, add it to the dictionary with an initial count of 1.
- Extract the
-
Return the Dictionary: Ensure the function returns the
season_game_countdictionary with the count of games for each season.
Solução
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