Gabi

import sys
import csv
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.lines as mlines


def csv_to_list(file):
    with open(file, 'r') as f:
        reader = csv.reader(f)
        data = list(map(float, list(reader)[0]))
        return data


def main(argv):
    boxplot_data = []
    for arg in argv:
        boxplot_data.append(csv_to_list(arg))

    temperature = [0.0, 30.0, 50.0, 100.0]
    fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(30, 30))
    box = plt.boxplot(boxplot_data, vert=False, patch_artist=True, widths=0.35)

    plt.rcParams.update({'font.size': 16, 'axes.titleweight': 'bold'})

    colors = ['orange', 'magenta', 'yellowgreen']
    for patch, color in zip(box['boxes'], colors):
        patch.set_facecolor(color)

    ax.yaxis.grid(True)
    ax.set_title('Zależność wielkości cząstek od temperatury')
    ax.set_xlabel('Wielkość [nm]')
    ax.set_ylabel('Temperatura [°C]')

    plt.xlim([0.00, 4.3])
    plt.xticks(np.arange(0, 4.3, 0.1))
    plt.boxplot(boxplot_data, 0, 'rD', 0, 0.6)
    plt.yticks(np.arange(4), temperature)

    for label in ([ax.xaxis.label, ax.yaxis.label]):
        label.set_fontsize(16)

    for label in (ax.get_xticklabels() + ax.get_yticklabels()):
        label.set_fontsize(10)

    lines = []
    for i, color in enumerate(colors):
        lines.append(mlines.Line2D([], [], color=color, marker='_',
                                   markersize=8, label=f'próbki nr {i+1}'))
    plt.legend(handles=lines, loc='lower right')
    plt.grid(True)
    plt.show()


if __name__ == '__main__':
    main(sys.argv[1:])