Diff two csv files with two columns of name/value pairs

diff.py

import csv
import sys

# Function to check if a value is numeric
def is_numeric(value):
    try:
        int(value)
        return True
    except ValueError:
        return False

# Load CSV data into a dictionary, ignoring non-numeric values
def load_csv(file_name):
    data = {}
    with open(file_name, 'r') as f:
        reader = csv.reader(f)
        next(reader)  # Skip the header if it exists
        for row in reader:
            name = row[0]
            value = row[1]
            if is_numeric(value):
                data[name] = int(value)
    return data

# Compare the two datasets and output differences to stdout
def compare_csv(file1, file2):
    data1 = load_csv(file1)
    data2 = load_csv(file2)

    print(f"{'Name':<10}\t{'Value1':<10}\t{'Value2':<10}\t{'Difference':<10}")

    # Iterate through the names and calculate differences
    for name in data1:
        if name in data2:
            value1 = data1[name]
            value2 = data2[name]
            if value1 != value2:  # Only output rows where there is a difference
                diff = value2 - value1
                print(f"{name:<10}\t{value1:<10}\t{value2:<10}\t{diff:<10}")

if __name__ == "__main__":
    if len(sys.argv) != 3:
        printf("Usage: python {sys.argv[0]} <file1.csv> <file2.csv>")
        sys.exit(1)

    file1 = sys.argv[1]  # First CSV file path
    file2 = sys.argv[2]  # Second CSV file path

    compare_csv(file1, file2)