import pandas as pd
import matplotlib.pyplot as plt
import sys

def plot_f1_scores(csv_file):
    # Read the CSV file
    df = pd.read_csv(csv_file)
    
    # Get unique methods
    methods = df['Method'].unique()
    
    # Create the plot
    plt.figure(figsize=(10, 6))
    
    # Plot each method
    for method in methods:
        method_data = df[df['Method'] == method]
        # Use row index + 1 as x-axis (to start from 1)
        x_values = method_data.index + 1
        y_values = method_data['F1']
        plt.plot(x_values, y_values, marker='o', label=method, linewidth=2, markersize=4)
    
    # Customize the plot
    plt.xlabel('Row Number')
    plt.ylabel('F1 Score')
    plt.title('F1 Scores by Method')
    plt.legend()
    plt.grid(True, alpha=0.3)
    
    # Show the plot
    plt.tight_layout()
    plt.show()

if __name__ == "__main__":
    if len(sys.argv) != 2:
        print("Usage: python plot_f1_scores.py <csv_file>")
        sys.exit(1)
    
    csv_file = sys.argv[1]
    plot_f1_scores(csv_file)