| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354 | import csv# Define the input and output file namesinput_file = 'nba.txt'output_file = 'nba_roster.csv'# Initialize lists to store dataroster_data = []current_team = None# Open the input filewith open(input_file, 'r') as file:    for line in file:        # Remove leading and trailing whitespaces from the line        line = line.strip()                # Check if the line starts with 'https', skip it        if line.startswith('https'):            continue                # Check if the line contains the team name        if 'Roster' in line:            current_team = line.split(' Roster ')[0]        elif line and "NAME" not in line:  # Skip empty lines and header lines            # Split the line using tabs as the delimiter            player_info = line.split('\t')                        # Remove any numbers from the player's name and set Jersey accordingly            name = ''.join([c for c in player_info[0] if not c.isdigit()])            jersey = ''.join([c for c in player_info[0] if c.isdigit()])                        # If no number found, set Jersey to "NA"            if not jersey:                jersey = "NA"                        # Append the team name, name, and jersey to the player's data            player_info = [current_team, name, jersey] + player_info[1:]                        # Append the player's data to the roster_data list            roster_data.append(player_info)# Write the data to a CSV filewith open(output_file, 'w', newline='') as csvfile:    writer = csv.writer(csvfile)        # Write the header row    writer.writerow(['Team', 'NAME', 'Jersey', 'POS', 'AGE', 'HT', 'WT', 'COLLEGE', 'SALARY'])        # Write the player data    writer.writerows(roster_data)print(f'Conversion completed. Data saved to {output_file}')
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