Created
August 29, 2020 12:46
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@app.callback( | |
Output("count_graph", "figure"), | |
[ | |
Input("model_selector", "value"), | |
Input("country_names", "value"), | |
Input("year_selector", "value"), | |
], | |
) | |
def make_histogram(model, countries, years): | |
cases = {} | |
for year in years: | |
for country in countries: | |
for index, row in df[country].iterrows(): | |
if(row['week'][:4] == year): | |
if(row['date'] in cases): | |
cases[row['date']] += row['estimate_'+model] | |
else: | |
cases[row['date']] = row['estimate_'+model] | |
weeks = [] | |
estimates = [] | |
for key in cases: | |
weeks.append(datetime.strptime(key, '%Y-%m-%d')) | |
estimates.append(cases[key]) | |
estimates = [x for _, x in sorted(zip(weeks, estimates))] | |
weeks.sort() | |
dff = {'week': weeks, 'cases': estimates} | |
fig = px.bar(dff, x='week', y='cases', | |
hover_data=['cases'], color='cases', | |
labels={'cases': 'number of Influenza cases', 'week': 'Date'}, | |
title='Cases over the years',) | |
return fig |
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