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team_covid_game.py
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team_covid_game.py
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# Run this app with `python team_covid_game.py` and
# visit http://127.0.0.1:8050/ in your web browser.
# Authors: Maria Gorbunova, Ben Lublin, Caetano Brito, Julian Pearson Rickenbach
# Date: 2/20/2021 11:51 PM
# pip install dash
# pip install dash_bootstrap_components
# pip install wget
# pip install plotly --upgrade
import dash
import dash_core_components as dcc
import dash_html_components as html
import dash_bootstrap_components as dbc
import plotly.express as px
import plotly.graph_objects as go
import pandas as pd
from pathlib import Path
import wget
#-----------------------------------------
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
colors = {
'background': 'rgba(0,0,0,0)',
'text': '#7FDBFF',
'dashbg' : 'rgb(39, 39, 74)',
'dashcompbg' : 'rgb(158, 158, 163)'
}
#------------------------------------------------
# Check if file exists. Get from site if doesn't.
_file = 'daily.csv'
data_file = Path(_file)
if not data_file.exists():
# Get CSV file
url = f"https://api.covidtracking.com/v1/states/{_file}"
wget.download(url)
# Convert CSV file to panda DataFrame
fh = pd.read_csv(_file,
usecols=['date',
'deathConfirmed',
'hospitalizedCurrently',
'negative',# unused
'positive',
'recovered',# unused
'state',
'totalTestResults' # unused
],
index_col='state'
)
# Remove territories
fh = fh.drop( labels=['AS','GU','MP','PR','VI'] )
# Convert dates to string and separate into year-month-day
fh['date'] = fh['date'].astype(str)
fh['date'].replace(to_replace="(202[0-1])([0-1][0-9])([0-3][0-9])", value=r"\1-\2-\3", regex=True, inplace=True)
# Replace NULL with 0
fh['deathConfirmed'] = fh['deathConfirmed'].fillna(0)
fh['hospitalizedCurrently'] = fh['hospitalizedCurrently'].fillna(0)
# Sort by Descending dates
fh = fh.sort_values(by='date', ascending=True)
# Create Choropleth map
fig = px.choropleth(fh,
locations=fh.index,
scope="usa",
locationmode="USA-states",
color='positive',
hover_data=['positive','hospitalizedCurrently','deathConfirmed'],
animation_frame=fh['date'],
color_continuous_scale=px.colors.sequential.thermal)
# Set title
fig.update_layout(title_text='Spread of Coronavirus in Continental United States',
height=800,
plot_bgcolor=colors['background'],
paper_bgcolor=colors['background'],
geo={
'bgcolor':colors['background']
},
font_color=colors['text']
)
# Set resolution (world scale) to 1:110
fig.update_geos(resolution=110)
# Change frame time and transition time (in milliseconds)
fig.layout.updatemenus[0].buttons[0].args[1]['frame']['duration'] = 20
fig.layout.updatemenus[0].buttons[0].args[1]['transition']['duration'] = 5
# fig.show()
#-----------------------------------------------------------
state_dd = dcc.Dropdown(
id='demo-dropdown',
options=[
{'label':'Alabama', 'value': 'AL'},
{'label':'Alaska', 'value': 'AK'},
{'label':'Arizona', 'value': 'AZ'},
{'label':'Arkansas', 'value': 'AR'},
{'label':'California', 'value': 'CA'},
{'label':'Colorado', 'value': 'CO'},
{'label':'Connecticut', 'value': 'CT'},
{'label':'Delaware', 'value': 'DE'},
{'label':'Florida', 'value': 'FL'},
{'label':'Georgia', 'value': 'GA'},
{'label':'Hawaii', 'value': 'HI'},
{'label':'Idaho', 'value': 'ID'},
{'label':'Illinois', 'value': 'IL'},
{'label':'Indiana', 'value': 'IN'},
{'label':'Iowa', 'value': 'IA'},
{'label':'Kansas', 'value': 'KS'},
{'label':'Kentucky', 'value': 'KY'},
{'label':'Louisiana', 'value': 'LA'},
{'label':'Maine', 'value': 'ME'},
{'label':'Maryland', 'value': 'MD'},
{'label':'Massachusetts', 'value': 'MA'},
{'label':'Michigan', 'value': 'MI'},
{'label':'Minnesota', 'value': 'MN'},
{'label':'Mississippi', 'value': 'MS'},
{'label':'Missouri', 'value': 'MO'},
{'label':'Montana', 'value': 'MT'},
{'label':'Nebraska', 'value': 'NE'},
{'label':'Nevada', 'value': 'NV'},
{'label':'New Hampshire', 'value': 'NH'},
{'label':'New Jersey', 'value': 'NJ'},
{'label':'New Mexico', 'value': 'NM'},
{'label':'New York', 'value': 'NY'},
{'label':'North Carolina', 'value': 'NC'},
{'label':'North Dakota', 'value': 'ND'},
{'label':'Ohio', 'value': 'OH'},
{'label':'Oklahoma', 'value': 'OK'},
{'label':'Oregon', 'value': 'OR'},
{'label':'Pennsylvania', 'value': 'PA'},
{'label':'Rhode Island', 'value': 'RI'},
{'label':'South Carolina', 'value': 'SC'},
{'label':'South Dakota', 'value': 'SD'},
{'label':'Tennessee', 'value': 'TN'},
{'label':'Texas', 'value': 'TX'},
{'label':'Utah', 'value': 'UT'},
{'label':'Vermont', 'value': 'VT'},
{'label':'Virginia', 'value': 'VA'},
{'label':'Washington', 'value': 'WA'},
{'label':'West Virginia', 'value': 'WV'},
{'label':'Wisconsin', 'value': 'WI'},
{'label':'Wyoming', 'value': 'WY'}
],
style={
'backgroundColor' : colors['dashbg'],
'color': colors['text']
},
value="Select a state to modify variables"
)
switches = dbc.FormGroup(
[
dbc.Checklist(
options=[
{"label": "Goverment enforces masks in stores", "value": "gems"},
{"label": "Goverment enforces masks in stores", "value": "gemo"},
{"label": "Government enforces Stay-At-Home order", "value": "gesah"},
{"label": "Government does PSA about CDC's recommendations", "value": "gcdc"},
{"label": "Citizens wear disposable masks", "value": "cdm"},
{"label": "Citizens wear reusable masks", "value": "crm"},
{"label": "Citizens wear gloves", "value": "cg"},
{"label": "Citizens use hand sanitizer", "value": "chs"},
{"label": "Citizens care about social distancing", "value": "csd"},
],
id="df-checklist",
value=[],
style={
'textAlign': 'center',
'color': colors['text']
},
labelStyle={"display": "inline-block"},
switch=True,
inline=True,
),
]
)
app.layout = html.Div(
style={
'backgroundColor': colors['dashbg']
},
children=[
html.H1(
children='The Covid Game',
style={
'textAlign': 'center',
'color': colors['text']
}
),
dcc.Graph(
id='COVID timeline map',
figure=fig
),
state_dd,
switches
]
)
if __name__ == '__main__':
app.run_server(debug=False)