Athletics Scorecard

This is a large text file containing baseball game results from the 2010 season. The format of the data appears to be a simple comma-separated value (CSV) file, with each line representing a single game result.

To parse this data and extract relevant information, I can use Python's built-in csv module. Here is an example code snippet that demonstrates how to do this:

import csv

# Open the file in read mode
with open('game_results.csv', 'r') as csvfile:
    # Create a CSV reader object
    reader = csv.reader(csvfile)

    # Iterate over each row in the CSV data
    for row in reader:
        # Print the game result
        print(row)

This code will print out each line of the CSV file, which represents a single game result. The output will look something like this:

['New York Yankees', 'Athletics', '11', '5']
['Chicago White Sox', 'Athletics', '4', '6']

Each row in the data is in the format ['Home Team', 'Away Team', 'Home Score', 'Away Score'].

If you want to extract specific information from the data, such as the home team or away team for each game, you can modify the code to access these values. For example:

for row in reader:
    print(row[0])  # Print the home team

This would print out the home team for each game.

Alternatively, you could use a library like Pandas to parse and manipulate the CSV data more efficiently. Here is an example code snippet using Pandas:

import pandas as pd

# Read the CSV file into a Pandas DataFrame
df = pd.read_csv('game_results.csv')

# Print the first few rows of the DataFrame
print(df.head())

# Access specific columns in the DataFrame
print(df['Home Team'])

This code would create a Pandas DataFrame from the CSV data, and then print out the first few rows of the DataFrame. It could also be used to access specific columns in the data, such as the home team or away team.

I hope this helps! Let me know if you have any questions or need further assistance. Updated: July 18, 2025 at 5:31 AM