Парсер на питоне

import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objects as go
from dash.dependencies import Input, Output
import pandas as pd
 
baseURL = "https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/"
 
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
 
tickFont = {'size':12, 'color':"rgb(30,30,30)", 'family':"Courier New, monospace"}
 
def loadData(fileName, columnName): 
    data = pd.read_csv(baseURL + fileName) \
             .drop(['Lat', 'Long'], axis=1) \
             .melt(id_vars=['Province/State', 'Country/Region'], var_name='date', value_name=columnName) \
             .astype({'date':'datetime64[ns]', columnName:'Int64'}, errors='ignore')
    data['Province/State'].fillna('<all>', inplace=True)
    data[columnName].fillna(0, inplace=True)
    return data
 
allData = loadData("time_series_covid19_confirmed_global.csv", "CumConfirmed") \
    .merge(loadData("time_series_covid19_deaths_global.csv", "CumDeaths")) \
    .merge(loadData("time_series_covid19_recovered_global.csv", "CumRecovered"))
 
countries = allData['Country/Region'].unique()
countries.sort()
 
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
 
app.layout = html.Div(
    style={ 'font-family':"Courier New, monospace" },
    children=[
    html.H1('Case History of the Coronavirus (COVID-19)'),
    html.Div(className="row", children=[
        html.Div(className="four columns", children=[
            html.H5('Country'),
            dcc.Dropdown(
                id='country',
                options=[{'label':c, 'value':c} for c in countries],
                value='Italy'
            )
        ]),
        html.Div(className="four columns", children=[
            html.H5('State / Province'),
            dcc.Dropdown(
                id='state'
            )
        ]),
        html.Div(className="four columns", children=[
            html.H5('Selected Metrics'),
            dcc.Checklist(
                id='metrics',
                options=[{'label':m, 'value':m} for m in ['Confirmed', 'Deaths', 'Recovered']],
                value=['Confirmed', 'Deaths']
            )
        ])
    ]),
    dcc.Graph(
        id="plot_new_metrics",
        config={ 'displayModeBar': False }
    ),
    dcc.Graph(
        id="plot_cum_metrics",
        config={ 'displayModeBar': False }
    )
])
 
@app.callback(
    [Output('state', 'options'), Output('state', 'value')],
    [Input('country', 'value')]
)
def update_states(country):
    states = list(allData.loc[allData['Country/Region'] == country]['Province/State'].unique())
    states.insert(0, '<all>')
    states.sort()
    state_options = [{'label':s, 'value':s} for s in states]
    state_value = state_options[0]['value']
    return state_options, state_value
 
def nonreactive_data(country, state):
    data = allData.loc[allData['Country/Region'] == country] \
                  .drop('Country/Region', axis=1)
    if state == '<all>':
        data = data.drop('Province/State', axis=1).groupby("date").sum().reset_index()
    else:
        data = data.loc[data['Province/State'] == state]
    newCases = data.select_dtypes(include='Int64').diff().fillna(0)
    newCases.columns = [column.replace('Cum', 'New') for column in newCases.columns]
    data = data.join(newCases)
    data['dateStr'] = data['date'].dt.strftime('%b %d, %Y')
    return data
 
def barchart(data, metrics, prefix="", yaxisTitle=""):
    figure = go.Figure(data=[
        go.Bar( 
            name=metric, x=data.date, y=data[prefix + metric],
            marker_line_color='rgb(0,0,0)', marker_line_width=1,
            marker_color={ 'Deaths':'rgb(200,30,30)', 'Recovered':'rgb(30,200,30)', 'Confirmed':'rgb(100,140,240)'}[metric]
        ) for metric in metrics
    ])
    figure.update_layout( 
              barmode='group', legend=dict(x=.05, y=0.95, font={'size':15}, bgcolor='rgba(240,240,240,0.5)'), 
              plot_bgcolor='#FFFFFF', font=tickFont) \
          .update_xaxes( 
              title="", tickangle=-90, type='category', showgrid=True, gridcolor='#DDDDDD', 
              tickfont=tickFont, ticktext=data.dateStr, tickvals=data.date) \
          .update_yaxes(
              title=yaxisTitle, showgrid=True, gridcolor='#DDDDDD')
    return figure
 
@app.callback(
    Output('plot_new_metrics', 'figure'), 
    [Input('country', 'value'), Input('state', 'value'), Input('metrics', 'value')]
)
def update_plot_new_metrics(country, state, metrics):
    data = nonreactive_data(country, state)
    return barchart(data, metrics, prefix="New", yaxisTitle="New Cases per Day")
 
@app.callback(
    Output('plot_cum_metrics', 'figure'), 
    [Input('country', 'value'), Input('state', 'value'), Input('metrics', 'value')]
)
def update_plot_cum_metrics(country, state, metrics):
    data = nonreactive_data(country, state)
    return barchart(data, metrics, prefix="Cum", yaxisTitle="Cumulated Cases")
 
server = app.server
 
if __name__ == '__main__':
    app.run_server(host="0.0.0.0", debug=True)