Twins Scorecard

This is a large text file containing the results of all MLB games played in a given season. The format of each line is "Date Game Team A Score Team B Score".

To parse this data, we can use a combination of Python and regular expressions. Here's an example code snippet that extracts the game date, team names, score, and other relevant information:

import re

# Define a function to extract game info from a line
def extract_game_info(line):
    # Regular expression pattern to match game data
    pattern = r"(\d{4}-\d{2}-\d{2}) (\w+) \s*(\w+)\s*\((\d+)-(\d+)\)"
    
    # Match the pattern against the line
    match = re.match(pattern, line)
    
    if match:
        date = match.group(1)
        team_a = match.group(3)
        score_a = int(match.group(4))
        team_b = match.group(5)
        score_b = int(match.group(6))
        
        # Extract other relevant information (e.g., game type, venue)
        game_type = re.search(r"\((\w+)\)", line).group(1) if "((" in line else None
        venue = re.search(r"(\w+)", line).group(0) if "at" not in line else None
        
        return {
            "date": date,
            "team_a": team_a,
            "score_a": score_a,
            "team_b": team_b,
            "score_b": score_b,
            "game_type": game_type,
            "venue": venue
        }
    else:
        return None

# Example usage
with open("games.txt", "r") as file:
    for line in file:
        game_info = extract_game_info(line)
        if game_info:
            print(game_info)

This code defines a function extract_game_info that takes a single line from the file and extracts relevant information using regular expressions. The extracted data is then printed to the console.

Note that this is just one possible way to parse the data, and you may need to adjust the regular expression pattern or add additional processing steps depending on your specific requirements. Updated: June 4, 2025 at 4:50 AM