Italy

import os,sys
sys.path.insert(0, os.path.normpath(os.path.join(os.path.abspath(''), '../../Code')))
import hedera_covid as hc

# for plotly
from plotly.offline import iplot
from plotly.offline import init_notebook_mode, plot
from IPython.core.display import display, HTML
import plotly as py
import plotly.tools as tls

import datetime
import numpy as np
import pandas as pd


IT = hc.DataHandlerItaly()

all_r = IT.get_all_region_names()


    

new_cases = []

for r in all_r:
    new_cases.append(
        IT.get_plot_data(r, 'nuovi_positivi',n_smooth=7)
        )


deaths = []
for r in all_r:
    deaths.append(
        IT.get_plot_data(r, 'deceduti',n_smooth=7)
        )


tests = []
for r in all_r:
    tests.append(
        IT.get_plot_data(r, 'tamponi',n_smooth=7)
        )

death_rate = []
for r in all_r:
    death_rate.append(
        IT.get_plot_data(r, 'death_rate',n_smooth=7)
        )
    


#hc.plot_structure(new_cases,title="New cases")

#hc.plot_structure(deaths,title="Total deaths")


#hc.plot_structure(tests,title="Tested")


names = ['Lombardia','Veneto','Emilia-Romagna','Piemonte',
         'Liguria', 'Lazio','Toscana','Abruzzo', 'Basilicata', 'Calabria', 'Campania',
         'Friuli Venezia Giulia',   'Marche',
         'Molise', 'P.A. Bolzano', 'P.A. Trento', 'Puglia',
         'Sardegna', 'Sicilia',  'Umbria', "Valle d'Aosta",
       ]

import plotly.graph_objects as go
init_notebook_mode(connected=True)



plot_data = []
for r in names:
    region = IT.get_region_by_name(r)
    plot_data.append(
        go.Bar(name=r, x=region['dates'], y=region['nuovi_positivi'])
    )
    

fig = go.Figure(data=plot_data)

# Change the bar mode
fig.update_layout(barmode='stack')
    
fig.update_layout(xaxis_tickangle=-90)
#fig.update_layout(legend=dict(x=0.1, y=1.2),legend_orientation="h",font_size=10)

plot(fig, filename = 'figure.html')
display(HTML('figure.html'))

import plotly.graph_objects as go
init_notebook_mode(connected=True)

relative_variation = []
for r in all_r:
    region = IT.get_region_by_name(r)
    p = np.array(region['totale_casi'])
    v = []
    v.append(0.)
    for k in range(1,len(p)):
        if p[k-1]<=10:
            v.append(0.)
        else:
            tmp = 100*( p[k] - p[k-1] ) / p[k-1]
            v.append(round( tmp,2 ))
    plot_data = {
        "type": 'scatter',
        "name": r,
        "x": region['dates'],
        "y": hc.smooth_data(v,n=7)
    }
    relative_variation.append(plot_data)
    
fig = {
    "data": relative_variation
    }
plot(fig, filename = 'figure.html')
display(HTML('figure.html'))

import plotly.graph_objects as go
init_notebook_mode(connected=True)



plot_data = []
for r in names:
    region = IT.get_region_by_name(r)
    plot_data.append(
        go.Bar(name=r, x=region['dates'], y=region['deceduti'])
    )
    

fig = go.Figure(data=plot_data)

# Change the bar mode
fig.update_layout(barmode='stack')
    
fig.update_layout(xaxis_tickangle=-90)
#fig.update_layout(legend=dict(x=0.1, y=1.2),legend_orientation="h",font_size=10)

plot(fig, filename = 'figure.html')
display(HTML('figure.html'))

import plotly.graph_objects as go
init_notebook_mode(connected=True)


names = ['Lombardia','Veneto','Emilia-Romagna','Piemonte',
         'Abruzzo', 'Basilicata', 'Calabria', 'Campania',
         'Friuli Venezia Giulia', 'Lazio', 'Liguria', 'Marche',
         'Molise', 'P.A. Bolzano', 'P.A. Trento', 'Puglia',
         'Sardegna', 'Sicilia', 'Toscana', 'Umbria', "Valle d'Aosta",
       ]
plot_data = []
for r in names:
    region = IT.get_region_by_name(r)
    nuovi_deceduti = []
    nuovi_deceduti.append(0.)
    p = np.array(region['deceduti'])
    for k in range(1,len(p)):
        nuovi_deceduti.append( (p[k]-p[k-1]))
    
    plot_data.append(
        go.Bar(name=r, x=region['dates'], y=hc.smooth_data(nuovi_deceduti,n=7))
    )
    

fig = go.Figure(data=plot_data)

# Change the bar mode
fig.update_layout(barmode='stack')
    
fig.update_layout(xaxis_tickangle=-90)
#fig.update_layout(legend=dict(x=0.1, y=1.2),legend_orientation="h",font_size=10)

plot(fig, filename = 'figure.html')
display(HTML('figure.html'))

import plotly.graph_objects as go
init_notebook_mode(connected=True)

fig = {
    "data": death_rate,
    "layout": {"title": {"text": ""}}
}

plot(fig, filename = 'figure.html')
display(HTML('figure.html'))