def map_today_data(usa_only, scale):
# We should connect the last expensive data querying steps needed to render the graphs with this data
# Get Today's Date
date = str(datetime.date.today() - datetime.timedelta(days=1))
# Create Variable = Async Data Fetch requesting only today's dataframe
data = fetch_today.main(date=date, value=scale, usa_only=usa_only)
# Does this graph only want to be focused on the US?
if usa_only == True:
usa_only = data['countryRegion'].str.contains('US')
data = data[usa_only]
df = data
print('check df')
print(df)
redis_instance.set(
f'today-dataframe',
json.dumps(
df.to_dict(),
# This JSON Encoder will handle things like numpy arrays
# and datetimes
cls=plotly.utils.PlotlyJSONEncoder,
),
)
def query_today(usa_only, scale):
date = str(datetime.date.today() - datetime.timedelta(days=1))
data = fetch_today.main(date=date, value=scale, usa_only=usa_only)
if usa_only == True:
usa_only = data['countryRegion'].str.contains('US')
data = data[usa_only]
data['confirmed_size'] = data.loc[:, 'confirmed'].apply(
lambda x: int(x) / scale)
data['death_size'] = data.loc[:, 'deaths'].apply(lambda x: int(x) / scale)
data['recovered_size'] = data.loc[:, 'recovered'].apply(
lambda x: int(x) / scale)
print('why you acting up data?')
print(data)
print(type(data))
print(conn.setex('USA_Today', TIMEOUT, zlib.compress(pickle.dumps(data))))
return conn.setex('USA_Today', TIMEOUT, zlib.compress(pickle.dumps(data)))
layout = go.Layout(height=800,
autosize=True,
mapbox_accesstoken=token,
mapbox_style="stamen-watercolor",
mapbox_center={
"lat": float(location['geoplugin_latitude'][0]),
"lon": float(location['geoplugin_longitude'][0])
},
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
font=dict(family="Courier New, monospace",
size=18,
color="#7f7f7f"),
mapbox=dict(
center=dict(
lat=float(location['geoplugin_latitude'][0]),
lon=float(location['geoplugin_longitude'][0])),
pitch=0,
zoom=3,
))
data = [map_confirmed, map_recovered, map_deaths]
fig = go.Figure(data=data, layout=layout)
return fig
if __name__ == '__main__':
data = fetch_today.main(value=1000)
request_usa_map(data, location=grab_users_geo()).show()
def slider_scale_rate(value):
data = fetch_today.main(value=value, usa_only=True)
return dcc.Graph(figure=request_usa_map(data), style={'height': '85vh'})