s=datetime.datetime.now().strftime("%d"),
color="white",
fontsize=8,
ha="center",
va="center",
bbox=dict(boxstyle='round,pad=0.1',
facecolor='red',
alpha=1,
edgecolor='red'),
zorder=10)
plt.axvline(dateCache.today(), color='red', linewidth=0.5)
for event in events:
if 'testsloc' in event and dateCache.parse(
event['testsloc'][0]) > date_range[0]:
anotate(ax1, totaaltests['x'], totaaltests['y'], event['date'],
event['event'], event['testsloc'][0], event['testsloc'][1])
ax1.set_xlabel("Datum")
ax1.set_ylabel("Aantal positief")
ax2.set_ylabel("Percentage positief getest")
ax1.set_ylim([0, 160000])
ax1.set_yticks([20000, 40000, 60000, 80000, 100000, 120000, 140000, 160000])
ax1.set_yticklabels(
['20k', '40k', '60k', '80k', '100k', '120k', '140k', '160k'])
ax2.set_ylim([0, 80])
plt.gca().set_xlim([date_range[0], date_range[-1]])
gegenereerd_op = datetime.datetime.now().strftime("%Y-%m-%d %H:%M")
ax1.plot(rijden['x'],
rijden['y'],
color='coral',
label='Rijden (Apple, gemiddeld)')
ax1.plot(ov['x'], ov['y'], color='lightgreen', label='OV (Apple, gemiddeld)')
ax1.plot(lopen['x'],
lopen['y'],
color='slateblue',
label='Lopen (Apple, gemiddeld)')
for event in events:
if 'mobiliteit' in event\
and dateCache.parse(event['mobiliteit'][0]) > date_range[0]\
and (len(event['mobiliteit']) <= 2 or len(date_range) <= event['mobiliteit'][2]):
anotate(ax1, rijden['x'], rijden['y'], event['date'], event['event'],
event['mobiliteit'][0], event['mobiliteit'][1])
# Put vertical line at current day
plt.text(x=dateCache.today(),
y=0,
s=datetime.datetime.now().strftime("%d"),
color="white",
fontsize=8,
ha="center",
va="center",
bbox=dict(boxstyle='round,pad=0.1',
facecolor='red',
alpha=1,
edgecolor='red'),
zorder=10)
plt.axvline(dateCache.today(), color='red', linewidth=0.5)
baseline='zero')
totaal_prikken = decimalstring(vaccins_delta['totaal'][-1])
ax1.plot(vaccins_delta['x'],
vaccins_delta['totaal'],
color='black',
label='Totaal per dag (nu: %s)' % totaal_prikken)
graphname = 'vaccins'
for event in events:
if graphname in event \
and dateCache.parse(event[graphname][0]) > date_range[0]\
and (len(event[graphname]) <= 2 or len(date_range) <= event[graphname][2]):
anotate(ax1, vaccins_delta['x'], vaccins_delta['totaal'],
event['date'], event['event'], event[graphname][0],
event[graphname][1])
# Put vertical line at current day
plt.text(x=dateCache.today(),
y=0,
s=datetime.now().strftime("%d"),
color="white",
fontsize=8,
ha="center",
va="center",
bbox=dict(boxstyle='round,pad=0.1',
facecolor='red',
alpha=1,
edgecolor='red'),
zorder=10)
geschat_ziek_rna['x'].append(dateCache.parse(datum))
geschat_ziek_rna['y'].append(nieuw_y)
print('Generating daily positive tests graph...')
fig, ax1 = plt.subplots(figsize=(10, 5))
fig.subplots_adjust(top=0.92, bottom=0.13, left=0.09, right=0.91)
ax2 = plt.twinx()
for event in events:
if graphname in event \
and dateCache.parse(event[graphname][0]) > date_range[0]\
and (len(event[graphname]) <= 2 or len(date_range) <= event[graphname][2]):
anotate(ax2, geschat_ziek_rna['x'], geschat_ziek_rna['y'],
event['date'], event['event'], event[graphname][0],
event[graphname][1])
#plt.figure(figsize =(10,5))
ax1.grid(which='both',
axis='both',
linestyle='-.',
color='gray',
linewidth=1,
alpha=0.3)
ax2.grid(which='both',
axis='both',
linestyle='-.',
color='gray',
linewidth=1,
alpha=0.3)
)
averages.legend(loc="upper right")
graphname='heatmap'
for event in events:
if graphname in event \
and dateCache.parse(event[graphname][0]) > date_range[0]\
and (len(event[graphname]) <= 2 or len(date_range) <= event[graphname][2]):
eventDateIndex = (dateCache.parse(event['date']) - startdate).days
textboxIndex = (dateCache.parse(event[graphname][0]) - startdate).days
anotate(
averages,
leeftijdx, gemiddeldeleeftijd['y'],
eventDateIndex, event['event'],
textboxIndex,
event[graphname][1]
)
heatmap.set(
xlim=[x[0], x[-1]+7],
xbound=([x[0], x[-1]+7]),
ylim=[0, 100],
autoscale_on=False
)
averages.set(
xlim=([x[0], x[-1]+7]),
xbound=([x[0], x[-1]+7]),
ylim=[0, 100],
autoscale_on=False