covid-panel-python-in-progress.py

import dash
from dash import dcc
from dash import html
from dash.dependencies import Input, Output
import dash_bootstrap_components as dbc

import plotly_express as px
import plotly.graph_objects as go

import numpy as np
import pandas as pd
import json

# li = []
# df = pd.read_csv("HIST_PAINEL_COVIDBR_2020_Parte1_21dez2021.csv", sep=";")
# li.append(df)
# df = pd.read_csv("HIST_PAINEL_COVIDBR_2020_Parte2_21dez2021.csv", sep=";")
# li.append(df)
# df = pd.read_csv("HIST_PAINEL_COVIDBR_2021_Parte1_21dez2021.csv", sep=";")
# li.append(df)
# df = pd.read_csv("HIST_PAINEL_COVIDBR_2021_Parte2_21dez2021.csv", sep=";")
# li.append(df)
# df = pd.concat(li, axis=0, ignore_index=True)

# df_states = df[(~df["estado"].isna())& (df["codmun"].isna())]
# df_brasil = df[df["regiao"]=="Brasil"]
# df_states.to_csv("df_states.csv")
# df_brasil.to_csv("df_brasil.csv")


df_states = pd.read_csv("df_states.csv", sep=",")

brazil_states = json.load(open("geojson/brazil_geo.json", "r"))
df_data = df_states[df_states["estado"]== "RJ"]

# CRIAÇÃO DO MAPA
# Instaciação do Dash

app = dash.Dash(__name__, external_stylesheets=[dbc.themes.CYBORG])

fig = px.choropleth_mapbox(df_states, locations="estado", color="casosNovos", center={"lat":-16.95, "lon": -47.78}, zoom=4, geojson=brazil_states, color_continuous_scale="Redor", opacity=0.4, hover_data={"casosAcumulado": True, "casosNovos": True, "obitosNovos": True, "estado": True})

fig.update_layout(paper_bgcolor="#242424", mapbox_style="carto-darkmatter")
fig2 = go.Figure(layout={"template": "plotly_dark"})
fig2.add_trace(go.Scatter(x=df_data["data"], y=df_data["casosAcumulado"]))
fig2.update_layout(paper_bgcolor="#242424", plot_bgcolor="#242424", autosize=True, margin=dict(l=10, r=10, t=10, b=10))


#Layout 

# app.layout = dbc.Container(
#     dbc.Row(
#         [dbc.Col(
#             [html.Div(
#                 [html.Img(
#                     id="logo",
#                     src=app.get_asset_url("logo_dark.png"),
#                     height=50,html.H5("Evolução COVID-19"),
#                     dbc.Button("BRASIL", color="primary", id="location_button",
#                     size="lg")
#                 ],
#                 style={}),
#                 html.P("Informe a data na qual deseja obter informações:", style={"margin-top": "40px"}), html.Div(id="div-test", children=[dcc.DatePickerSingle(
# id="date-picker",min_date_allowed=df_brasil["data"].min(),max_date_allowed=df_brasil["data"].max(),initial_visible_month=df_brasil["data"].min(),date=df_brasil["data"].max(),display_format="MMMM D, YYYY",style={"border": "0px solid black"}])
# dcc.Graph(id="line-graph", figure=fig2)]),dbc.Col([dcc.Graph(id="choropleth-map",figure=fig))

if __name__ == "__main__":
    app.run_server(debug=True)