diff --git a/plot.py b/plot.py
index 682dd2f..b9ccc86 100644
--- a/plot.py
+++ b/plot.py
@@ -752,8 +752,8 @@ def categories_timeseries(vaccines, area, cumulate=False):
'orientation': "v",
'yanchor': "bottom",
'y': .58, # top
- 'xanchor': "right",
- 'x': .4,
+ 'xanchor': "left",
+ 'x': .0,
}
return plot_fill([data_list[i] for i in order], [names[i] for i in order], cumulate=cumulate, subplot_title=f'{area}: Somministrazioni vaccino per categoria', legend=legend)
@@ -784,7 +784,7 @@ def fornitori_timeseries(vaccines, area, cumulate=False):
def age_timeseries(vaccines, area, fascia_anagrafica, demography, dose, unita=100, cumulate=False):
PALETTE = itertools.cycle(plotly.colors.qualitative.Plotly)#itertools.cycle(get_matplotlib_cmap('tab10', bins=8))
- title = f'{area}: Percentuale popolazione che ha ricevuto la {dose}
nella fascia {fascia_anagrafica}'
+ title = f'{area}: Percentuale popolazione che ha ricevuto
la {dose} nella fascia {fascia_anagrafica}'
dose = dose.replace(' ', '_')
if area == 'Italia':
plot_data = vaccines[vaccines.fascia_anagrafica == fascia_anagrafica]
@@ -825,8 +825,8 @@ def cum(data):
'orientation': "v",
'yanchor': "bottom",
'y': .70, # top
- 'xanchor': "right",
- 'x': .2,
+ 'xanchor': "left",
+ 'x': .0,
}, barmode='stack', hovermode="x unified"
)
fig.update_layout(
@@ -954,10 +954,10 @@ def plot_category(vaccines, area):
fig.update_layout(legend={
'orientation': 'h',
'yanchor': "bottom",
- 'y': -.65, # top
+ 'y': -.55, # top
'xanchor': "center",
'x': .5,
- }, height=550
+ }, height=500
)
return fig
@@ -1113,8 +1113,8 @@ def plot_fill(data_list, names, population_list=None, unita=100000, cumulate=Tru
'orientation': "v",
'yanchor': "bottom",
'y': .85, # top
- 'xanchor': "right",
- 'x': .5,
+ 'xanchor': "left",
+ 'x': .0,
}
fig.update_layout(
legend=legend
@@ -1196,8 +1196,8 @@ def plot_deliveries(deliveries, population, unita=100, subplot_title='', start=N
'orientation': "v",
'yanchor': "bottom",
'y': .70, # top
- 'xanchor': "right",
- 'x': .5,
+ 'xanchor': "left",
+ 'x': .0,
}, barmode='stack', hovermode="x unified"
)
fig.update_layout(