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2 changed files with 110 additions and 117 deletions
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@ -173,124 +173,21 @@
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</section>
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<section>
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<h1>Plots</h1>
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{% for fig in figures %}
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<figure>
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<a href="extrapolated_to_10_percent.png">
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<a href="{{ fig['filename'] }}.png">
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<img
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src="extrapolated_to_10_percent.png"
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alt="" />
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src="{{ fig['filename'] }}.png"
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alt="{{ fig['caption'] }}" />
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</a>
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<figcaption>
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<a name="figure-001"><span class="ref">Abbildung 1:</span></a>
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Tägliche Impfquote, kumulierte Impfungen und lineare Extrapolation bis 10 % der Bevölkerung Deutschlands<br />
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<a href="extrapolated_to_10_percent.png" download="extrapolated_to_10_percent.png">Download als PNG</a>
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<a href="extrapolated_to_10_percent.pdf" download="extrapolated_to_10_percent.pdf">Download als PDF</a>
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</figcaption>
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</figure>
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<figure>
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<a href="extrapolated_to_70_percent.png">
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<img
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src="extrapolated_to_70_percent.png"
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alt="" />
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</a>
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<figcaption>
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<a name="figure-002"><span class="ref">Abbildung 2:</span></a>
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Tägliche Impfquote, kumulierte Impfungen und lineare Extrapolation bis 70 % der Bevölkerung Deutschlands<br />
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<a href="extrapolated_to_70_percent.png" download="extrapolated_to_70_percent.png">Download als PNG</a>
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<a href="extrapolated_to_70_percent.pdf" download="extrapolated_to_70_percent.pdf">Download als PDF</a>
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</figcaption>
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</figure>
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<figure>
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<a href="extrapolated_to_100_percent.png">
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<img
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src="extrapolated_to_100_percent.png"
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alt="" />
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</a>
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<figcaption>
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<a name="figure-003"><span class="ref">Abbildung 3:</span></a>
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Tägliche Impfquote, kumulierte Impfungen und lineare Extrapolation bis 100 % der Bevölkerung Deutschlands<br />
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<a href="extrapolated_to_100_percent.png" download="extrapolated_to_100_percent.png">Download als PNG</a>
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<a href="extrapolated_to_100_percent.pdf" download="extrapolated_to_100_percent.pdf">Download als PDF</a>
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</figcaption>
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</figure>
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<figure>
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<a href="vaccination_bar_graph_total_time.png">
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<img
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src="vaccination_bar_graph_total_time.png"
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alt="" />
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</a>
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<figcaption>
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<a name="figure-004"><span class="ref">Abbildung 4:</span></a>
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Tägliche Impfrate (Erst- und Zweitimpfung übereinander)<br />
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<a href="vaccination_bar_graph_total_time.png" download="vaccination_bar_graph_total_time.png">Download als PNG</a>
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<a href="vaccination_bar_graph_total_time.pdf" download="vaccination_bar_graph_total_time.pdf">Download als PDF</a>
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</figcaption>
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</figure>
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<figure>
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<a href="vaccination_bar_graph_total_time_two_bars.png">
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<img
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src="vaccination_bar_graph_total_time_two_bars.png"
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alt="" />
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</a>
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<figcaption>
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<a name="figure-005"><span class="ref">Abbildung 5:</span></a>
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Tägliche Impfrate (Erst- und Zweitimpfung nebeneinander)<br />
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<a href="vaccination_bar_graph_total_time_two_bars.png" download="vaccination_bar_graph_total_time_two_bars.png">Download als PNG</a>
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<a href="vaccination_bar_graph_total_time_two_bars.pdf" download="vaccination_bar_graph_total_time_two_bars.pdf">Download als PDF</a>
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</figcaption>
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</figure>
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<figure>
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<a href="vaccination_bar_graph_compare_both_vaccinations.png">
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<img
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src="vaccination_bar_graph_compare_both_vaccinations.png"
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alt="" />
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</a>
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<figcaption>
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<a name="figure-006"><span class="ref">Abbildung 6:</span></a>
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Tägliche Impfrate (Erst- und Zweitimpfung nebeneinander)<br />
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<a href="vaccination_bar_graph_compare_both_vaccinations.png" download="vaccination_bar_graph_compare_both_vaccinations.png">Download als PNG</a>
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<a href="vaccination_bar_graph_compare_both_vaccinations.pdf" download="vaccination_bar_graph_compare_both_vaccinations.pdf">Download als PDF</a>
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</figcaption>
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</figure>
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<figure>
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<a href="cumulative_two_vaccinations.png">
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<img
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src="cumulative_two_vaccinations.png"
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alt="" />
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</a>
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<figcaption>
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<a name="figure-007"><span class="ref">Abbildung 7:</span></a>
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Kumulative Impfrate (Erst- und Zweitimpfung)<br />
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<a href="cumulative_two_vaccinations.png" download="cumulative_two_vaccinations.png">Download als PNG</a>
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<a href="cumulative_two_vaccinations.pdf" download="cumulative_two_vaccinations.pdf">Download als PDF</a>
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</figcaption>
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</figure>
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<figure>
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<a href="cumulative_two_vaccinations_percentage.png">
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<img
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src="cumulative_two_vaccinations_percentage.png"
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alt="" />
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</a>
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<figcaption>
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<a name="figure-008"><span class="ref">Abbildung 8:</span></a>
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Kumulative Impfrate (Erst- und Zweitimpfung) in Prozent der Bevölkerung Deutschlands<sup><a href="#footnote-002">2</a></sup><br />
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<a href="cumulative_two_vaccinations_percentage.png" download="cumulative_two_vaccinations_percentage.png">Download als PNG</a>
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<a href="cumulative_two_vaccinations_percentage.pdf" download="cumulative_two_vaccinations_percentage.pdf">Download als PDF</a>
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</figcaption>
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</figure>
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<figure>
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<a href="people_between_first_and_second.png">
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<img
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src="people_between_first_and_second.png"
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alt="" />
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</a>
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<figcaption>
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<a name="figure-009"><span class="ref">Abbildung 9:</span></a>
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Anzahl der Personen zwischen Erst- und Zweitimpfung, also Personen, die die erste Impfung erhalten haben, die zweite aber noch nicht<br />
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<a href="people_between_first_and_second.png" download="people_between_first_and_second.png">Download als PNG</a>
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<a href="people_between_first_and_second.pdf" download="people_between_first_and_second.pdf">Download als PDF</a>
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<a name="figure-{{ '{:03d}'.format(fig['index']) }}"><span class="ref">Abbildung {{ fig['index'] }}:</span></a>
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{{ fig['caption'] }}<br />
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<a href="{{ fig['filename'] }}.png" download="{{ fig['filename'] }}.png">Download als PNG</a>
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<a href="{{ fig['filename'] }}.pdf" download="{{ fig['filename'] }}.pdf">Download als PDF</a>
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</figcaption>
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</figure>
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{% endfor %}
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</section>
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<section>
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106
plot.py
106
plot.py
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@ -14,6 +14,7 @@ import requests as req
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import locale
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import os.path
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import shutil
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import math
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from matplotlib.dates import date2num
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import matplotlib.ticker as mtick
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@ -67,7 +68,6 @@ dates = impfungen['Datum']
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start_of_reporting_date = dates.iloc[0].date()
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def calculate_vaccination_data(data):
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cumulative = np.cumsum(data)
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total = int(np.sum(data))
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total_percentage = float(total) / einwohner_deutschland * 100
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@ -80,7 +80,11 @@ def calculate_vaccination_data(data):
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days_since_start_of_vaccination = (last_date - start_of_vaccination_date).days
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days_since_start_of_reporting = (last_date - start_of_reporting_date).days
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mean_all_time = np.mean(data[start_of_vaccination_index:])
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valid_data = data[start_of_vaccination_index:]
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cumulative = np.concatenate(([math.nan] * (days_since_start_of_reporting - days_since_start_of_vaccination), np.cumsum(valid_data)))
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mean_all_time = np.mean(valid_data)
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mean_seven_days = np.mean(data[-7:])
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def extrapolate(rate, to_be_vaccinated):
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@ -110,7 +114,7 @@ def calculate_vaccination_data(data):
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extrapolation_mean_seven_days = extrapolate(mean_seven_days, to_be_vaccinated)
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mean_vaccination_rates_daily = np.round(cumulative / range(1, len(cumulative) + 1))
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vaccination_rates_daily_rolling_average = data.rolling(7).mean()
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vaccinations_missing_until_target = einwohner_deutschland * 0.7 - total
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vaccination_rate_needed_for_target = vaccinations_missing_until_target / days_until_target
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@ -131,6 +135,7 @@ def calculate_vaccination_data(data):
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'extrapolation_last_rate': extrapolation_last_rate,
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'extrapolation_mean_seven_days': extrapolation_mean_seven_days,
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'mean_vaccination_rates_daily': mean_vaccination_rates_daily,
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'vaccination_rates_daily_rolling_average': vaccination_rates_daily_rolling_average,
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'vaccinations_missing_until_target': int(np.floor(vaccinations_missing_until_target)),
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'vaccination_rate_needed_for_target': int(np.floor(vaccination_rate_needed_for_target)),
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'vaccination_rate_needed_for_target_percentage': vaccination_rate_needed_for_target_percentage
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@ -506,7 +511,7 @@ def plot_cumulative_two_vaccinations():
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ax.fill_between(dates, first_vaccinations_cumulative, label='Erstimpfungen', color='blue')
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ax.fill_between(dates, second_vaccinations_cumulative, label='Zweitimpfungen', color='lightblue')
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ax.set_ylim([0, first_vaccinations_cumulative.iloc[-1]])
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ax.set_ylim([0, first_vaccinations_cumulative[-1]])
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ax.legend(loc='upper left')
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ax.xaxis_date()
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@ -597,7 +602,7 @@ def plot_people_between_first_and_second():
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ax.grid()
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first_vaccinations_cumulative = data_first_vaccination['cumulative']
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second_vaccinations_cumulative = data_second_vaccination['cumulative']
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second_vaccinations_cumulative = np.nan_to_num(data_second_vaccination['cumulative'], nan=0)
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people_between = first_vaccinations_cumulative - second_vaccinations_cumulative
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@ -625,6 +630,54 @@ def plot_people_between_first_and_second():
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plot_people_between_first_and_second()
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def plot_vaccination_rate():
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archive_plot_filename = '{}/vaccination_rate'.format(archive_folder)
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latest_plot_filename = '{}/vaccination_rate'.format(site_folder)
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#if os.path.isfile(archive_plot_filename + '.pdf'):
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#print('Plot {} already exists'.format(archive_plot_filename))
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#return
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fig, ax = plt.subplots(1)
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plt.title(
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'Tägliche Impfrate sowie durchschnittliche Impfrate\n'
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'Datenquelle: RKI, Stand: {}. Erstellung: {}, Ersteller: Benedikt Bastin, Lizenz: CC BY-SA 4.0\n'.format(
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print_stand, print_today
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)
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)
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ax.plot(dates, data_first_vaccination['daily'], label='Tägliche Erstimpfrate', color='blue', linewidth=0.5)
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ax.plot(dates, data_second_vaccination['daily'], label='Tägliche Zweitimpfrate', color='lightblue', linewidth=0.5)
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ax.plot(dates, data_first_vaccination['vaccination_rates_daily_rolling_average'], color='blue', linewidth=2, label='Erstimpfrate über sieben Tage')
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ax.plot(dates, data_second_vaccination['vaccination_rates_daily_rolling_average'], color='lightblue', linewidth=2, label='Zweitimpfrate über sieben Tage')
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ax.plot(dates, data_first_vaccination['mean_vaccination_rates_daily'], color='violet', label='Durchschnittliche Erstimpfrate\nbis zu diesem Tag (inkl.)')
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ax.plot(dates, data_second_vaccination['mean_vaccination_rates_daily'], color='magenta', label='Durchschnittliche Zweitimpfrate\nbis zu diesem Tag (inkl.)')
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ax.grid(True)
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ax.legend(loc='upper left')
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ax.get_yaxis().get_major_formatter().set_scientific(False)
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ax.set_xlabel('Datum')
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ax.set_ylabel('Impfrate [Impfungen/Tag]')
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plt.savefig(archive_plot_filename + '.pdf')
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plt.savefig(archive_plot_filename + '.png')
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plt.savefig(latest_plot_filename + '.pdf')
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plt.savefig(latest_plot_filename + '.png')
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plt.close()
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print('Created plot {} as pdf and png'.format(archive_plot_filename))
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plot_vaccination_rate()
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def render_dashboard():
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dashboard_filename = 'site/index.xhtml'
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@ -664,6 +717,49 @@ def render_dashboard():
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data_second_vaccination = data_second_vaccination,
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#details_per_land = dict(sorted(details_per_land_formatted.items(), key=lambda item: item[0])),
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#details_total = details_total_formatted
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figures = [
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{
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'index': 1,
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'filename': 'extrapolated_to_10_percent',
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'caption': 'Tägliche Impfquote, kumulierte Impfungen und lineare Extrapolation bis 10 % der Bevölkerung Deutschlands'
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},{
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'index': 2,
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'filename': 'extrapolated_to_70_percent',
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'caption': 'Tägliche Impfquote, kumulierte Impfungen und lineare Extrapolation bis 70 % der Bevölkerung Deutschlands'
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},{
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'index': 3,
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'filename': 'extrapolated_to_100_percent',
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'caption': 'Tägliche Impfquote, kumulierte Impfungen und lineare Extrapolation bis 100 % der Bevölkerung Deutschlands'
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},{
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'index': 4,
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'filename': 'vaccination_bar_graph_total_time',
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'caption': 'Tägliche Impfrate (Erst- und Zweitimpfung übereinander)'
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},{
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'index': 5,
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'filename': 'vaccination_bar_graph_total_time_two_bars',
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'caption': 'Tägliche Impfrate (Erst- und Zweitimpfung nebeneinander)'
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},{
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'index': 6,
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'filename': 'vaccination_bar_graph_compare_both_vaccinations',
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'caption': 'Tägliche Impfrate (Erst- und Zweitimpfung nebeneinander)'
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},{
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'index': 7,
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'filename': 'cumulative_two_vaccinations',
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'caption': 'Kumulative Impfrate (Erst- und Zweitimpfung)'
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},{
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'index': 8,
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'filename': 'cumulative_two_vaccinations_percentage',
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'caption': 'Kumulative Impfrate (Erst- und Zweitimpfung) in Prozent der Bevölkerung Deutschlands'
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},{
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'index': 9,
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'filename': 'people_between_first_and_second',
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'caption': 'Anzahl der Personen zwischen Erst- und Zweitimpfung, also Personen, die die erste Impfung erhalten haben, die zweite aber noch nicht'
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},{
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'index': 10,
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'filename': 'vaccination_rate',
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'caption': 'Tägliche Impfrate sowie durchschnittliche Impfrate'
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}
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]
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).dump('site/index.xhtml')
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shutil.copyfile(dashboard_filename, dashboard_archive_filename)
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