Covid-19 in Italy / Covid-19 in Italia

curl https://raw.githubusercontent.com/pcm-dpc/COVID-19/master/dati-json/dpc-covid19-ita-andamento-nazionale.json > data.json

curl https://raw.githubusercontent.com/pcm-dpc/COVID-19/master/dati-andamento-nazionale/dpc-covid19-ita-andamento-nazionale.csv > data.csv

import pandas as pd

import plotly.graph_objs as go

data = pd.read_csv('data.csv')

fig = go.Figure(data=[

    go.Scatter(mode='lines+markers',name='Recovered / Guariti', x=data['data'], y=data['dimessi_guariti'], marker_color='limegreen'),

    go.Scatter(mode='lines+markers',name='Positive / Positivi', x=data['data'], y=data['totale_positivi'], marker_color='purple'),

  go.Scatter(mode='lines+markers',name='Dead / Deceduti', x=data['data'], y=data['deceduti'], marker_color='tomato')

])

fig

import pandas as pd

import plotly.graph_objs as go

data = pd.read_csv('data.csv')

fig = go.Figure(data=[

    go.Scatter(mode='lines+markers', name='Recovered / Guariti', x=data['data'], y=data['dimessi_guariti'], marker_color='limegreen'),

    go.Scatter(mode='lines+markers', name='Positive / Positivi', x=data['data'], y=data['totale_positivi'], marker_color='purple'),

  go.Scatter(mode='lines+markers', name='Dead / Deceduti', x=data['data'], y=data['deceduti'], marker_color='tomato')

])

fig.update_yaxes(type="log")

fig

import pandas as pd

import plotly.graph_objs as go

data = pd.read_csv('data.csv')

fig = go.Figure(data=[

   go.Scatter(mode='lines+markers',name='House isolation / Isolamento domiciliare', x=data['data'], y=data['isolamento_domiciliare'], marker_color='royalblue'),

    go.Scatter(mode='lines+markers',name='Hospitalised / Ospedalizzati', x=data['data'], y=data['totale_ospedalizzati'], marker_color='peru')

])

fig

import pandas as pd

import plotly.graph_objs as go

data = pd.read_csv('data.csv')

fig = go.Figure(data=[

   go.Scatter(mode='lines+markers',name='ICU / Terapia intensiva', x=data['data'], y=data['terapia_intensiva'], marker_color='orange'),

    go.Scatter(mode='lines+markers',name='Normal hospital care / Normale ricovero', x=data['data'], y=data['ricoverati_con_sintomi'], marker_color='turquoise')

])

fig

import pandas as pd

import numpy as numpy

import plotly.graph_objs as go

data = pd.read_csv('data.csv')

yy = data['variazione_totale_positivi']

dead = data['deceduti']

a=dead.shift()

a[0]=0

new_dead = dead-a

recovered = data['dimessi_guariti']

b = recovered.shift()

b[0] = 0

new_recovered = recovered - b

fig = go.Figure(data=[

   go.Scatter(mode='lines+markers', name='New positive / Nuovi positivi', x=data['data'], y=yy, marker_color='orchid'),

    go.Scatter(mode='lines+markers',name='Deaths / Decessi', x=data['data'], y=new_dead, marker_color='tomato'),

 go.Scatter(mode='lines+markers',name='Recoveries / Guarigioni', x=data['data'], y=new_recovered, marker_color='limegreen')

])

fig

import pandas as pd

import plotly.graph_objs as go

data = pd.read_csv('data.csv')

fig = go.Figure(data=[

   go.Scatter(mode='lines+markers',name='Positive / Positivi', x=data['data'], y=data['totale_casi'], marker_color='purple'),

    go.Scatter(mode='lines+markers',name='Tests / Tamponi', x=data['data'], y=data['tamponi'], marker_color='darkcyan')

])

fig

import pandas as pd

import numpy as numpy

import plotly.graph_objs as go

data = pd.read_csv('data.csv')

yy = data['variazione_totale_positivi']

tests = data['tamponi']

a=tests.shift()

a[0]=0

new_tests = tests-a

fig = go.Figure(data=[

   go.Scatter(mode='lines+markers', name='New positive / Nuovi positivi', x=data['data'], y=yy, marker_color='orchid'),

    go.Scatter(mode='lines+markers', name='Tests / Tamponi', x=data['data'], y=new_tests, marker_color='darkcyan')

])

fig