def districtPie():
df = allDistrictstabel()
# fig = px.pie(df, values='Confirmed', names='District', color='District',
# color_discrete_map={'Thur':'lightcyan',
# 'Fri':'cyan',
# 'Sat':'royalblue',
# 'Sun':'darkblue'})
# df = px.data.gapminder().query("year == 2007").query("continent == 'Americas'")
fig = px.pie(df,
values='Confirmed',
names='District',
hover_data=['Confirmed'],
labels={'Confirmed': 'Confirmed'})
fig.update_traces(textposition='inside', textinfo='percent+label')
fig.layout.plot_bgcolor = '#002b36'
fig.layout.paper_bgcolor = '#002b36'
fig.update_layout(showlegend=False, font_color="white", font_size=18)
return fig
import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import requests
import json
import pandas as pd
from COVID_Predictior import logoisticGrowthPredictor
from Get_KA_COVID_Data import get_KA_covid_data, getKAADistrictDropDownValue, get_districtWise, allDistrictstabel
from app_figures import values, statepredictorGraph, stateDeseased, stateRecovered, stateActive, statePie, districtPie
PLOTLY_LOGO = "https://www.codrindia.org/assets/images/logo/codr-icon-1.jpg"
import dash_table
df = allDistrictstabel()
from Get_KA_COVID_Data import get_KA_covid_data
import base64
#BS = "https://stackpath.bootstrapcdn.com/bootstrap/4.4.1/css/bootstrap.min.css"
#app = dash.Dash(external_stylesheets=[BS])
def generate_table(dataframe, max_rows=15):
return html.Table(
# Header
[html.Tr([html.Th(col) for col in dataframe.columns])] +
# Body
[
html.Tr(
[html.Td(dataframe.iloc[i][col]) for col in dataframe.columns])
for i in range(min(len(dataframe), max_rows))