import matplotlib.pyplot as plt
from pathlib import Path
from os import makedirs
import numpy as np


def plot_diagonal(outpath, xs, predictions:list):

    makedirs(Path(outpath).parent, exist_ok=True)

    # Create scatter plot
    plt.figure(figsize=(10, 10))
    plt.xlim(0, 1)
    plt.ylim(0, 1)
    plt.plot([0, 1], [0, 1], color='black', linestyle='--')

    for method_name, ys in predictions:
        pear_cor = np.corrcoef(xs, ys)[0, 1]
        plt.scatter(xs, ys, label=f'{method_name} {pear_cor:.2f}')

    plt.legend()

    # Add labels and title
    plt.xlabel('True Accuracy')
    plt.ylabel('Estimated Accuracy')

    # Display the plot
    # plt.show()
    plt.savefig(outpath)