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import pandas as pd
import plotly.graph_objs as go
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
csvFileCovidDataset = pd.read_csv('diseaseOutbreakData.csv')
indianStatesFocus=pd.read_csv('uniqueDataCity.csv')
entireValue=indianStatesFocus.shape[0]
hiddenValue=indianStatesFocus['current_status'].value_counts()
detectedStateValue=indianStatesFocus['detected_state'].value_counts().reset_index()
endValue=csvFileCovidDataset.groupby('Country/Region')['Deaths'].max().sort_values(ascending=False).reset_index().head(22)
countryOptions=[
{'label':'All','value':'All'},
{'label':'China','value':'China'},
{'label':'Iran','value':'Iran'},
{'label':'US','value':'US'},
{'label':'United Kingdom','value':'United Kingdom'},
{'label':'Italy','value':'Italy'},
{'label':'India','value':'India'}
]
covidCountryInfo=[
{'label':'All','value':'All'},
{'label':'Recovered ','value':'Recovered'},
{'label':'Hospitalized','value':'Hospitalized'},
{'label':'Deceased','value':'Deceased'}
]
indianStatesValue=[
{'label':'All','value':'All'},
{'label':'Maharashtra','value':'Maharashtra'},
{'label':'Delhi','value':'Delhi'},
{'label':'Kerala','value':'Kerala'},
{'label':'Telangana','value':'Telangana'},
{'label': 'West Bengal ', 'value': 'West Bengal'},
{'label': 'Rajasthan', 'value': 'Rajasthan'},
{'label': 'Tamil Nadu', 'value': 'Tamil Nadu'},
{'label': 'Uttar Pradesh', 'value': 'Uttar Pradesh'}
]
app = dash.Dash(__name__)
app.layout=html.Div([
html.Div([
html.H1("Covid-19 Outbreak Findings",style={'margin-top':'10px'}),
html.P("Covid-19 India Findings",style={'text-align':'left','margin-top':'-25px'})
],className='jumbotron'),
html.Div([
html.Div([
html.Div([
html.Div([
html.Div([
html.Div([
html.H3(entireValue),
html.H6("Cumulative Test Cases Across India")
],className='card-body')
],className='card',style={'background-color':'blue','margin-top':'0.2rem'})
],className='col-md-12'),
html.Div([
html.Div([
html.Div([
html.H3(hiddenValue[0]),
html.H6("Validated Instances of Covid-19")
],className='card-body')
],className='card',style={'background-color':'green','margin-top':'0.2rem'})
],className='col-md-12'),
html.Div([
html.Div([
html.Div([
html.H3(hiddenValue[1]),
html.H6("Recuperated Instances of Covid-19")
],className='card-body')
],className='card',style={'background-color':'red','margin-top':'0.2rem'})
],className='col-md-12'),
html.Div([
html.Div([
html.Div([
html.H3(hiddenValue[2]),
html.H6("Deaths Throughout India Due to Covid-19 Pandemic")
],className='card-body')
],className='card',style={'background-color':' yellow','margin-top':'0.2rem'})
],className='col-md-12'),
html.Div([
html.Div([
html.Div([
html.H3(hiddenValue[3]),
html.H6("Number of People Who Moved Due to Covid-19 Pandemic")
],className='card-body')
],className='card',style={'background-color':'orange','margin-top':'0.2rem'})
],className='col-md-12')
],className='row')
],className='col-md-2'),
html.Div([
html.Div([
html.Div([
html.Div([
html.Div([
dcc.Graph(id='scatter-plot',
figure={'data':[go.Bar(x=endValue['Country/Region'],y=endValue['Deaths'])],
'layout':go.Layout(title='Number of Death according to Country',xaxis={'title':'Country/Region'},yaxis={'title':'Number of Deaths'},paper_bgcolor='rgba(0,0,0,1)',plot_bgcolor='rgba(0,0,0,1)')})
],className='card-body')
],className='card')
],className='col-md-6'),
html.Div([
html.Div([
html.Div([
dcc.Dropdown(id='pie', options=indianStatesValue, value='All'),
dcc.Graph(id='pie1')
],className='card-body')
],className='card')
],className='col-md-6'),
html.Div([
html.Div([
html.Div([
dcc.Graph(id='d_state',
figure={'data':[go.Bar(x=detectedStateValue['index'],y=detectedStateValue['detected_state'])],
'layout':go.Layout(title='No. of case in Different state',xaxis={'title':'State'},yaxis={'title':'Number of patients'})})
],className='card-body')
],className='card')
],className='col-md-6 mt-3'),
html.Div([
html.Div([
html.Div([
dcc.Dropdown(id='piker',options=countryOptions,value='All'),
dcc.Graph(id='line')
],className='card-body')
],className='card')
],className='col-md-6 mt-3')
],className='row')
],className='col-md-10')
],className='row'),
html.Div([
html.Div([
html.Div([
html.Div([
dcc.Dropdown(id='pik',options=covidCountryInfo,value='All'),
dcc.Graph(id='line2')
],className='card-body')
],className='card')
],className='col-md-12 mt-3')
],className='row'),
html.Div([],className='row')
],className='container-fluid')
@app.callback(Output('line','figure'), [Input('piker','value')])
def update_graph(type):
if type=='All':
hiddenValue = csvFileCovidDataset.groupby('Date')['Deaths'].max().sort_values(ascending=True).reset_index()
return {'data':[go.Line(x=hiddenValue['Date'],y=hiddenValue['Deaths'])],
'layout':go.Layout(title='Number of Deaths Per Day',xaxis={'title':'Dates'},yaxis={'title':'Number of Deaths'},paper_bgcolor='rgba(0,0,0,1)',plot_bgcolor='rgba(0,0,0,1)')}
else:
hiddenValue = csvFileCovidDataset[csvFileCovidDataset['Country/Region'] == type]
hiddenValues = hiddenValue.groupby('Date')['Deaths'].max().sort_values(ascending=True).reset_index()
return {'data': [go.Line(x=hiddenValues['Date'], y=hiddenValues['Deaths'])],
'layout': go.Layout(title='Number of Deaths Per Day',xaxis={'title':'Dates'},yaxis={'title':'Number of Deaths'},paper_bgcolor='rgba(0,0,0,1)',plot_bgcolor='rgba(0,0,0,1)')}
@app.callback(Output('line2','figure'), [Input('pik','value')])
def update_graph(secondInput):
if secondInput=='All':
hiddenValues=indianStatesFocus['detected_state'].value_counts().reset_index()
return {'data':[go.Line(x=hiddenValues['index'],y=hiddenValues['detected_state'])],
'layout':go.Layout(title='Number of Patients',xaxis={'title':'Number of Patients'},yaxis={'title':'states'})}
else:
indicatorCovid = indianStatesFocus[indianStatesFocus['current_status'] == secondInput]
hiddenValueIterator = indicatorCovid['detected_state'].value_counts().reset_index()
return {'data': [go.Line(x=hiddenValueIterator['index'], y=hiddenValueIterator['detected_state'])],
'layout': go.Layout(title='Number of Patients',xaxis={'title':'Number of patients'},yaxis={'title':'States'})}
@app.callback(Output('pie1','figure'), [Input('pie','value')])
def update_graph(type2):
if type2=='All':
predeterminedHiddenValue = indianStatesFocus['current_status'].value_counts().reset_index()
firstValueIndex = predeterminedHiddenValue['current_status'][0]
secondValueIndex = predeterminedHiddenValue['current_status'][1]
thirdValueIndex = predeterminedHiddenValue['current_status'][2]
covidCategoriesNames = ['Hospitalized', 'Recovered', 'Deceased']
valueIndices = [firstValueIndex, secondValueIndex, thirdValueIndex]
generatedDrawing=go.Figure(data=[go.Pie(labels=covidCategoriesNames, values=valueIndices)])
return generatedDrawing
else:
hiddenValue = indianStatesFocus[indianStatesFocus['detected_state'] == type2]
predeterminedHiddenValue = hiddenValue['current_status'].value_counts().reset_index()
firstValueIndex = predeterminedHiddenValue['current_status'][0]
secondValueIndex = predeterminedHiddenValue['current_status'][1]
thirdValueIndex = predeterminedHiddenValue['current_status'][2]
valueIndices = [firstValueIndex, secondValueIndex, thirdValueIndex]
covidCategoriesNames = ['Hospitalized', 'Recovered', 'Deceased']
generatedDrawing= go.Figure(data=[go.Pie(labels=covidCategoriesNames, values=valueIndices)])
return generatedDrawing
if __name__ == '__main__':
app.run_server(host= 0.0.0.0, debug=False) |