#!/usr/bin/env python3
from pandas import read_csv
import matplotlib.pyplot as plt
import matplotlib.ticker as mtick
import matplotlib as mpl
mpl.rcParams['figure.dpi'] = 1200
import numpy as np
import pathlib

class display:
    def __init__(self, filename) -> None:
        """Start the actual import process. Seperates process and setup."""
        with open(filename, mode='r', encoding='utf-8-sig', newline='') as csv_file:
            reader = read_csv(csv_file)
            plt.style.use('_mpl-gallery')
            for style in ["nom", "real", "realeff"]:
                fig, ax = plt.subplots(figsize=(12, 6))
                ob1 = np.asarray(reader[f"{style}tax2014"].dropna())
                ob2 = np.asarray(reader[f"{style}tax2015"].dropna())
                ob3 = np.asarray(reader[f"{style}tax2016"].dropna())
                ob4 = np.asarray(reader[f"{style}tax2017"].dropna())
                ob5 = np.asarray(reader[f"{style}tax2018"].dropna())
                ob6 = np.asarray(reader[f"{style}tax2019"].dropna())
                ob7 = np.asarray(reader[f"{style}tax2020"].dropna())
                ob8 = np.asarray(reader[f"{style}tax2021"].dropna())
                ob9 = np.asarray(reader[f"{style}tax2022"].dropna())
                ob10 = np.asarray(reader[f"{style}tax2023"].dropna())
                ob11 = np.asarray(reader[f"{style}tax2024"].dropna())
                x = [ob1, ob2, ob3, ob4, ob5, ob6, ob7, ob8, ob9, ob10, ob11]
                ax.boxplot(x, positions=[2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024], patch_artist=True,
                           showmeans=False, showfliers=False,
                    medianprops={"color": "white", "linewidth": 0.5},
                    boxprops={"facecolor": "C0", "edgecolor": "white",
                              "linewidth": 0.5},
                    whiskerprops={"color": "C0", "linewidth": 1.5},
                    capprops={"color": "C0", "linewidth": 1.5})
                ax.yaxis.set_major_formatter(mtick.PercentFormatter(1,0))
                plt.show()


display(pathlib.Path('/home/user/bachelorarbeit_importer/data/', 'cleaned_st2.csv'))