42 lines
2.1 KiB
Python
Executable File
42 lines
2.1 KiB
Python
Executable File
#!/usr/bin/env python3
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from pandas import read_csv
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import matplotlib.pyplot as plt
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import matplotlib.ticker as mtick
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import matplotlib as mpl
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mpl.rcParams['figure.dpi'] = 1200
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import numpy as np
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import pathlib
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class display:
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def __init__(self, filename) -> None:
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"""Start the actual import process. Seperates process and setup."""
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with open(filename, mode='r', encoding='utf-8-sig', newline='') as csv_file:
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reader = read_csv(csv_file)
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plt.style.use('_mpl-gallery')
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for style in ["nom", "real", "realeff"]:
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fig, ax = plt.subplots(figsize=(12, 6))
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ob1 = np.asarray(reader[f"{style}tax2014"].dropna())
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ob2 = np.asarray(reader[f"{style}tax2015"].dropna())
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ob3 = np.asarray(reader[f"{style}tax2016"].dropna())
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ob4 = np.asarray(reader[f"{style}tax2017"].dropna())
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ob5 = np.asarray(reader[f"{style}tax2018"].dropna())
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ob6 = np.asarray(reader[f"{style}tax2019"].dropna())
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ob7 = np.asarray(reader[f"{style}tax2020"].dropna())
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ob8 = np.asarray(reader[f"{style}tax2021"].dropna())
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ob9 = np.asarray(reader[f"{style}tax2022"].dropna())
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ob10 = np.asarray(reader[f"{style}tax2023"].dropna())
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ob11 = np.asarray(reader[f"{style}tax2024"].dropna())
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x = [ob1, ob2, ob3, ob4, ob5, ob6, ob7, ob8, ob9, ob10, ob11]
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ax.boxplot(x, positions=[2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024], patch_artist=True,
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showmeans=False, showfliers=False,
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medianprops={"color": "white", "linewidth": 0.5},
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boxprops={"facecolor": "C0", "edgecolor": "white",
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"linewidth": 0.5},
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whiskerprops={"color": "C0", "linewidth": 1.5},
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capprops={"color": "C0", "linewidth": 1.5})
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ax.yaxis.set_major_formatter(mtick.PercentFormatter(1,0))
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plt.show()
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display(pathlib.Path('/home/user/bachelorarbeit_importer/data/', 'cleaned_st2.csv'))
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