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cb8f609 e6fcad6 cb8f609 e6fcad6 cb8f609 a850062 669de7f cb8f609 e6fcad6 cb8f609 669de7f cb8f609 669de7f cb8f609 669de7f cb8f609 e6fcad6 cb8f609 e6fcad6 cb8f609 fbbcb3c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 | import pandas as pd
import plotly.graph_objs as go
import dash
from dash import dcc
from dash import 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='uniqueDataCity',
figure={'data':[go.Bar(x=indianStatesFocus['id'],y=indianStatesFocus['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 = detectedStateValue.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 = detectedStateValue[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['id'],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['id'], 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)
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