def update_graph1(selected_state): """Return a graph Update state graph with selected state """ states.set_state(selected_state) # Preparing Data cases = helper.Confirmed(selected_state) trace1 = go.Scatter(x=cases.get_dates_since_start(), y=cases.get_total_state_cases_over_time(), mode='lines', name='Cases') data = [trace1] state_graph = { 'data': data, 'layout': go.Layout(title='Total number of Confirmed Cases in ' + cases.get_state_name(), xaxis={'title': 'Date'}, yaxis={'title': 'Number of confirmed cases'}) } return state_graph
def update_graph2(selected_state, selected_county): """Return a graph Update county graph with selected state and county """ cases = helper.Confirmed(selected_state) states.set_state(selected_state) cases.set_county(selected_county) trace1 = go.Scatter(x=cases.get_dates_since_start(), y=cases.get_county_cases_over_time(), mode='lines', name='Cases') data = [trace1] county_graph = { 'data': data, 'layout': go.Layout(title='Total number of Confirmed Cases in ' + cases.get_county_name() + ' County, ' + cases.get_state_name(), xaxis={'title': 'Date'}, yaxis={'title': 'Number of confirmed cases'}) } return county_graph
def update_figure(selected_state): states.set_state(selected_state) cases = helper.Confirmed(selected_state) trace1 = go.Scatter(x=cases.get_all_counties_unsorted(), y=cases.get_all_counties_total_cases_unsorted(), text=cases.get_county_name(), mode='markers') data = [trace1] scatter_plot = { 'data': data, 'layout': go.Layout(title='Cases by County in ' + cases.get_state_name(), xaxis={'title': 'County Name'}, yaxis={'title': 'Number of confirmed cases'}) } return scatter_plot
def update_graph1(selected_state): """Return a graph Update state graph with selected state """ states.set_state(selected_state) # Preparing Data cases = helper.Confirmed(selected_state) trace1 = go.Bar(x=cases.get_dates_since_start(), y=cases.get_daily_state_cases(), name='Cases') data = [trace1] state_graph = { 'data': data, 'layout': go.Layout(title='New Daily Confirmed Cases in ' + cases.get_state_name(), xaxis={'title': 'Date'}, yaxis={'title': 'Number of confirmed cases'}) } return state_graph
from navbar import Navbar from Plots import helper with urlopen( 'https://raw.githubusercontent.com/plotly/datasets/master/geojson-counties-fips.json' ) as response: counties = json.load(response) cases = pd.read_csv("Datasets/time_series_covid19_confirmed_US.csv", dtype={"FIPS": str}) deaths = pd.read_csv("Datasets/time_series_covid19_deaths_US.csv", dtype={"FIPS": str}) nav = Navbar() LATEST_DATE = helper.Confirmed( "North Carolina").get_latest_data_date() # state doesn't matter FIPS = [] # Remove extra zeroes from FIPS for code in deaths['FIPS']: code = str(code) split_num = code.split(".", 1) FIPS.append(split_num[0].zfill(5)) def calculate_cases_ratio(): ratios = [] for i in range(deaths[LATEST_DATE].__len__()): if deaths['Population'][i] != 0: ratio = cases[LATEST_DATE][i] / (deaths['Population'][i] / 10000) rounded_ratio = math.ceil(ratio * 100) / 100
import dash import dash_core_components as dcc import dash_html_components as html from dash.dependencies import Input, Output import pandas as pd import plotly.graph_objs as go from Plots import helper from navbar import Navbar from app import app nav = Navbar() states = helper.States() states.set_state("North Carolina") date_for_graph = helper.Confirmed("North Carolina").get_latest_data_date() # Line Chart Layout line_chart_layout = html.Div( className='graph-layout', children=[ # Layout for Line Graph html.A(id='total-deaths-state-county'), html.H1(children='Deaths from COVID-19 in Each State and County', style={ 'textAlign': 'center', 'color': 'white' }), html.H3('Interactive Line chart', style={'color': 'white'}), html.Div( 'This chart represents the total number of confirmed deaths in a state'