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

def plot_csv_columns(csv_filename, x_column, y_column):
    # Read the CSV file into a DataFrame
    df = pd.read_csv(csv_filename)
    
    # Create the plot
    plt.figure(figsize=(8, 5))
    plt.plot(df[x_column], df[y_column], marker='o', markersize=2, 
        markerfacecolor='white', markeredgewidth=1, linestyle='-',
        linewidth=1)
    
    # Add labels and title
    plt.xlabel(x_column)
    plt.ylabel(y_column)
    plt.title(f'{y_column} vs {x_column}')
    plt.grid(True)
    plt.tight_layout()
    
    # Generate output filename by adding .png to channel name
    output_filename = f"WT_{y_column}.png"
    
    # Save and close the plot
    plt.savefig(output_filename, dpi=300)
    plt.close()
    
    print(f"\n---Plot saved successfully as '{output_filename}'\n")

# Example usage:
plot_csv_columns('WT_Sample_Loads.out', 'Time', 'RootMyc1')