def all_territories(df_week, df_day, territory_key, window = 3, plot_height = 550,
plot_width = 550, verbose = False):
"""
Create all the HTML files for the states
"""
territories = list(set(df_week[territory_key]))
make_territories_ref_list(territory_key, territories)
dir_path = make_territories_dir(territory_key)
for i in territories:
if verbose:
print('working on {territory}'.format(territory = i))
min_value = 10
df_ = df_week[(df_week[territory_key]==i)]
p1 = common.bar_over_time(df_, key = 'deaths',
plot_height = plot_height, plot_width = plot_width,
title = 'Deaths by Week', line_width = 10, ignore_last = True)
p6 = common.bar_over_time(df_, key = 'cases',
plot_height = plot_height, plot_width = plot_width,
title = 'Cases by Week', line_width = 10, ignore_last = True)
p2 = common.incidents_over_time_bar(df_day[df_day[territory_key] == i],
key = 'deaths', window= 3, plot_height = plot_height,
plot_width = plot_width, title = 'Deaths by Day', line_width = 2)
p5 = common.incidents_over_time_bar(df_day[df_day[territory_key] == i],
key = 'cases', window= 3, plot_height = plot_height,
plot_width = plot_width, title = 'Cases by Day', line_width = 2)
death_ro, death_double_rate, p3 = dy_dx(territory_key = territory_key,
territory = i, df = df_day, window = window,
key = 'deaths', plot_height = 300, plot_width = 300)
cases_ro, cases_double_rate, p4 = dy_dx(territory_key = territory_key,
territory = i, df = df_day, window = window,
key = 'cases', plot_height = 300, plot_width = 300)
grid = gridplot([p1, p2, p6, p5, p3, p4], ncols = 2)
script, div = components(grid)
html = get_html(territory = i, script = script, div = div,
death_ro = death_ro, cases_ro = cases_ro,
death_double_rate = death_double_rate,
cases_double_rate = cases_double_rate)
with open(os.path.join(dir_path, '{territory}.html'.format(
territory = common.tidy_name(i))), 'w') as write_obj:
write_obj.write(html)
def all_states(df_week,
df_day,
window=3,
plot_height=550,
plot_width=550,
verbose=False):
"""
Create all the HTML files for the states
"""
states = list(set(df_week['state']))
for i in states:
if verbose:
print('working on {state}'.format(state=i))
min_value = 10
df_ = df_week[(df_week['state'] == i)]
p1 = common.bar_over_time(df_,
key='deaths',
plot_height=plot_height,
plot_width=plot_width,
title='Deaths by Week',
line_width=10,
ignore_last=True)
p6 = common.bar_over_time(df_,
key='cases',
plot_height=plot_height,
plot_width=plot_width,
title='Cases by Week',
line_width=10,
ignore_last=True)
p2 = common.incidents_over_time_bar(df_day[df_day['state'] == i],
key='deaths',
window=3,
plot_height=plot_height,
plot_width=plot_width,
title='Deaths by Day',
line_width=2)
p5 = common.incidents_over_time_bar(df_day[df_day['state'] == i],
key='cases',
window=3,
plot_height=plot_height,
plot_width=plot_width,
title='Cases by Day',
line_width=2)
death_ro, death_double_rate, p3 = dy_dx(state=i,
df=df_day,
window=window,
key='deaths',
plot_height=300,
plot_width=300)
cases_ro, cases_double_rate, p4 = dy_dx(state=i,
df=df_day,
window=window,
key='cases',
plot_height=300,
plot_width=300)
grid = gridplot([p1, p2, p6, p5, p3, p4], ncols=2)
script, div = components(grid)
html = get_html(state=i,
script=script,
div=div,
death_ro=death_ro,
cases_ro=cases_ro,
death_double_rate=death_double_rate,
cases_double_rate=cases_double_rate)
with open(
os.path.join(
'html_temp', 'states',
'{state}'.format(state=i.replace(' ', '_').lower())),
'w') as write_obj:
write_obj.write(html)
make_states_ref_list(states)