feat: Added annotation for AstraZeneca stop for multiple plots

plot.py

@@ -37,7 +37,7 @@ print_today = today.isoformat()
 
 filename_now = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
 
-force_renew_plots = False
+force_renew_plots = True
 force_renew_dashboard = True
 
 # https://www.tagesschau.de/ausland/europa/ursula-von-der-leyen-zu-corona-impfstoffen-101.html
@@ -309,6 +309,15 @@ def save_plot(plot_name):
 	print('Created plot {} as {}'.format(plot_name, file_formats))
 
 
+def add_annotations(ax):
+	ax.axvspan(datetime.datetime(2021, 3, 15), datetime.datetime(2021, 3, 19), color='lightgrey', alpha=0.5)
+	ax.text(datetime.datetime(2021, 3, 17), ax.get_ylim()[1], 'AZ-Stopp', bbox={
+		'boxstyle': 'square',
+		'fc': 'white',
+		'ec': 'black'
+	},
+	ha='center')
+
 def plot_vaccination_bar_graph_total_time():
 
 	plot_name = 'vaccination_bar_graph_total_time'
@@ -338,6 +347,8 @@ def plot_vaccination_bar_graph_total_time():
 	ax.set_xlabel('Datum')
 	ax.set_ylabel('Tägliche Impfungen')
 
+	add_annotations(ax)
+
 	save_plot(plot_name)
 	plt.close()
 
@@ -390,7 +401,7 @@ def plot_vaccination_bar_graph_total_time_by_week():
 
 		if i == 12:
 			# Woche der AstraZeneca-Aussetzung
-			plt.annotate('AstraZeneca-Aussetzung', (x, hg * 1000 + 50000),
+			plt.annotate('AZ-Stopp', (x, hg * 1000 + 50000),
 				xytext=(x, ax.get_ylim()[1]),
 				arrowprops={
 					'arrowstyle': '->'
@@ -399,7 +410,9 @@ def plot_vaccination_bar_graph_total_time_by_week():
 					'boxstyle': 'square',
 					'fc': 'white',
 					'ec': 'black'
-				})
+				},
+				ha='center')
+
 
 		i = i + 1
 
@@ -449,6 +462,8 @@ def plot_vaccination_bar_graph_total_time_two_bars():
 	ax.set_xlabel('Datum')
 	ax.set_ylabel('Tägliche Impfungen')
 
+	add_annotations(ax)
+
 	save_plot(plot_name)
 	plt.close()
 
@@ -525,6 +540,8 @@ def plot_cumulative_two_vaccinations():
 	ax.set_xlabel('Datum')
 	ax.set_ylabel('Kumulative Impfungen')
 
+	add_annotations(ax)
+
 	save_plot(plot_name)
 	plt.close()
 
@@ -565,6 +582,8 @@ def plot_cumulative_two_vaccinations_percentage():
 	ax.set_xlabel('Datum')
 	ax.set_ylabel('Kumulative Impfungen')
 
+	add_annotations(ax)
+
 	save_plot(plot_name)
 	plt.close()
 
@@ -607,6 +626,8 @@ def plot_people_between_first_and_second():
 	ax.set_xlabel('Datum')
 	ax.set_ylabel('Personen zwischen Erst- und Zweitimpfung')
 
+	add_annotations(ax)
+
 	save_plot(plot_name)
 	plt.close()
 
@@ -649,6 +670,8 @@ def plot_vaccination_rate():
 	ax.set_xlabel('Datum')
 	ax.set_ylabel('Impfrate [Impfungen/Tag]')
 
+	add_annotations(ax)
+
 	save_plot(plot_name)
 	plt.close()
 
@@ -688,6 +711,8 @@ def plot_vaccination_done_days():
 	ax.set_xlabel('Datum')
 	ax.set_ylabel('Tage, bis 70 % erreicht sind')
 
+	add_annotations(ax)
+
 	save_plot(plot_name)
 	plt.close()
 
@@ -737,6 +762,8 @@ def plot_vaccination_done_dates():
 	ax.set_xlabel('Datum')
 	ax.set_ylabel('Datum, an dem 70 % erreicht sind')
 
+	add_annotations(ax)
+
 	save_plot(plot_name)
 	plt.close()