Hole | Wins | Losses | Score | +4 |
---|---|---|---|---|
1 | 47 | 34 | -2 | (-1) |
10 | 39 | 42 | +4 | (-1) |
Avg | 43 | 38 | +34 |
This appears to be a collection of baseball game results for the 2010 MLB season. Each result is in the format "Team A score - Team B score", where Team A and Team B are the two teams playing each other.
To parse this data, I can extract the relevant information into a structured format. Here's an example using Python:
import re
class GameResult:
def __init__(self, date=None, team1=None, team2=None):
self.date = date
self.team1 = team1
self.team2 = team2
self.score = None
@classmethod
def parse_result(result_str):
# Regular expression to match the score format (e.g. "3-2")
pattern = r"(\d+)-(\d+)"
# Extract scores using regular expressions
score_match = re.match(pattern, result_str)
if score_match:
team1_score, team2_score = map(int, score_match.groups())
return GameResult(team1=team1_score, team2=team2_score)
def __str__(self):
if self.score:
return f"{self.team1} {self.score[0]} - {self.score[1]} {self.team2}"
else:
return f"{self.team1} vs. {self.team2}"
game_results = [
# ... (insert game result strings here)
]
for result_str in game_results:
game_result = GameResult.parse_result(result_str)
print(game_result)
This script defines a GameResult
class to represent each baseball game, with attributes for the date, team names, and scores. The parse_result
method uses regular expressions to extract the score from the input string.
Note that this is just one possible way to parse the data. Depending on the specific requirements of your project, you may need to modify the script or use a different approach. Updated: July 18, 2025 at 4:43 AM