Hole | Wins | Losses | Score | +9 |
---|---|---|---|---|
1 | 43 | 38 | +2 | (+1) |
10 | 38 | 43 | +9 | (+3) |
Avg | 41 | 41 | +37 |
This appears to be a log of all the games played by a baseball team in the 2010 season. The log includes the date, opponent, and final score for each game.
To extract specific information from this log, you could use regular expressions to parse the data. Here's an example code snippet that demonstrates how to do this:
import re
# Define a function to parse the log data
def parse_log(log_data):
games = []
for line in log_data.split('\n'):
# Use regular expression to extract date, opponent, and score from each line
match = re.match(r'(\d{4}-\d{1,2}-\d{1,2}) (\w+)-(\w+) (\d+-\d+)', line)
if match:
date = match.group(1)
home_team = match.group(2)
away_team = match.group(3)
score = match.group(4)
games.append({
'date': date,
'home_team': home_team,
'away_team': away_team,
'score': score
})
return games
# Example usage:
log_data = """
2010-09-01 Dodgers 15-9 Phillies
...
"""
games = parse_log(log_data)
for game in games:
print(game['date'], game['home_team'], game['away_team'], game['score'])
This code defines a function parse_log
that takes the log data as input, splits it into individual lines, and uses regular expressions to extract the date, home team, away team, and score from each line. The extracted data is then stored in a list of dictionaries, where each dictionary represents a single game.
You can modify this code to suit your specific needs, such as extracting additional information or performing further analysis on the data. Updated: July 18, 2025 at 4:58 AM