delete uni-purpose graph file

generate_presi_graphs.py

@@ -1,54 +0,0 @@
-import pandas as pd
-import matplotlib.pyplot as plt
-import matplotlib.dates as mdates
-from matplotlib import rcParams
-
-FONT_COLOR = '#595959'
-SUSCEPTIBLE = '#6399f7'
-INFECTIOUS = '#f56262'
-REMOVED = '#83eb5e'
-
-# rki data
-
-rki_data_path = 'datasets/COVID-19-Todesfaelle_in_Deutschland/COVID-19-Todesfaelle_Deutschland.csv'
-
-rki_data = pd.read_csv(rki_data_path)
-rki_data['Berichtsdatum'] = pd.to_datetime(rki_data['Berichtsdatum'], errors='coerce')
-specific_dates = rki_data[rki_data['Berichtsdatum'].dt.is_quarter_start]['Berichtsdatum']
-
-rcParams['font.family'] = 'Comfortaa'
-rcParams['font.size'] = 12
-
-rcParams['text.color'] = FONT_COLOR
-rcParams['axes.labelcolor'] = FONT_COLOR
-rcParams['xtick.color'] = FONT_COLOR
-rcParams['ytick.color'] = FONT_COLOR
-
-slide3 = plt.figure(figsize=(12,6))
-ax = slide3.add_subplot(111, facecolor='#dddddd', axisbelow=True)
-ax.set_facecolor('xkcd:white')
-
-ax.plot(rki_data['Berichtsdatum'], rki_data['Faelle_gesamt'], label='infections', c=INFECTIOUS, lw=3)
-ax.plot(rki_data['Berichtsdatum'], rki_data['Todesfaelle_gesamt'], label='death cases', c=REMOVED, lw=3)
-
-plt.yscale('log')
-plt.ylabel('amount of poeple')
-plt.xlabel('time')
-plt.title('Accumulated cases (RKI Data)')
-ax.yaxis.set_tick_params(length=0)
-
-leg = plt.legend()
-
-ax.yaxis.set_tick_params(length=0, which='both')
-ax.xaxis.set_tick_params(length=0, which='both')
-ax.grid(which='major', c='black', lw=0.2, ls='-')
-
-for spine in ('top', 'right', 'bottom', 'left'):
-    ax.spines[spine].set_visible(False)
-
-plt.gca().set_xticks(specific_dates)
-plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%b %Y'))
-
-plt.gcf().autofmt_xdate(rotation=45, ha='center')
-
-slide3.savefig('visualizations/slide3.png', transparent=True)