Hole | Wins | Losses | Score | +22 |
---|---|---|---|---|
1 | 33 | 48 | +12 | (-2) |
10 | 35 | 46 | +22 | (+1) |
Avg | 34 | 47 | +43 |
This text is a large string of text that appears to be a record of baseball games played by the Milwaukee Brewers. Each game is listed with the date, opponent, and outcome (win or loss).
Here's an example of how you can parse this data:
import re
from collections import defaultdict
class Game:
def __init__(self, date, opponent, outcome):
self.date = date
self.opponent = opponent
self.outcome = outcome
def parse_game(game_string):
match = re.match(r'(\d{1,2} \w+ \d{4}), (\w+) - \d+, (.*)', game_string)
if match:
return Game(match.group(1), match.group(2), match.group(3))
else:
return None
def parse_games(game_list):
games = []
for game in game_list.split('\n'):
if game:
game_obj = parse_game(game)
if game_obj:
games.append(game_obj)
return games
# Example usage
game_string = """... (paste the large string of text here)"""
games = parse_games(game_string)
for game in games:
print(f"Date: {game.date}, Opponent: {game.opponent}, Outcome: {game.outcome}")
This code defines a Game
class to hold the date, opponent, and outcome of each game. It then defines two functions to parse the game data from the string: one for individual games and one for an entire list of games.
The parse_game
function uses a regular expression to extract the date, opponent, and outcome from the game string. The parse_games
function splits the input string into individual lines (games), parses each game, and returns a list of Game
objects.
Please note that you'll need to replace the ... (paste the large string of text here)
comment with the actual large string of text containing the baseball games data. Updated: July 18, 2025 at 5:12 AM