'TS': 'Tempelhof-Schöneberg',
'TK': 'Treptow-Köpenick',
'sum': 'all of Berlin',
- 'wsum': 'sum of new infections for last 7 days',
- 'wavg': 'per-day average of new infections for last 7 days',
- 'winc': 'incidence (x per 100k inhabitants) of new infections for last 7 days',
+ 'Σ': 'sum of new infections for last 7 days',
+ 'Ø': 'per-day average of new infections for last 7 days',
+ 'i': 'incidence (x per 100k inhabitants) of new infections for last 7 days',
}
# Read infections table path and output type.
print('<tr class="day_row">')
print('<td>%s</td>' % date)
print('<td><table>')
- print('<tr><th><abbr title="new infections counted">new</abbr></th></tr>')
- for abbr in ['wsum', 'wavg', 'winc']:
+ print('<tr><th><abbr title="new infections counted">+</abbr></th></tr>')
+ for abbr in ['Σ', 'Ø', 'i']:
print('<tr><th><abbr title="%s">%s</abbr></th></tr>' %
(translate[abbr], abbr))
print('</table></td>')
# Week table header.
if weekday_count == 0:
print(' '*10, ' '.join(sorted_districts),
- 'wsum', ' wavg', 'winc')
+ ' Σ', ' Ø', ' i')
week_start_date = date
# Day data line.
weekly_incs += [db[district][week_start_date]['week_incidence']]
print()
print('district stats for week from %s to %s:' % (date, week_start_date))
- print(' '*7, ' '.join(sorted_districts[1:]))
- print('wsum', ' '.join(['%5.1f' % wsum for wsum in weekly_sums]))
- print('wavg', ' '.join(['%5.1f' % wavg for wavg in weekly_avgs]))
- print('winc', ' '.join(['%5.1f' % winc for winc in weekly_incs]))
+ print(' '*4, ' '.join(sorted_districts[1:]))
+ print('Σ', ' '.join(['%5.1f' % wsum for wsum in weekly_sums]))
+ print('Ø', ' '.join(['%5.1f' % wavg for wavg in weekly_avgs]))
+ print('i', ' '.join(['%5.1f' % winc for winc in weekly_incs]))
print()