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'