def plot_all_Bundeslaender(ts, bnn, dates, datacolumns, ifPrint=True):
ts_BuLa, Bundeslaender = dataMangling.join_tables_for_and_aggregate_Bundeslaender(
ts, bnn)
filenames, population = [], 0
done = []
for BL in Bundeslaender.index.tolist():
print(BL, end=" ")
daily, cumulative, title, filename, pop_BL = dataMangling.get_BuLa(
Bundeslaender, BL, datacolumns)
if BL == "Deutschland":
filename = filename.replace("bundesland_", "")
plot_timeseries(datacolumns,
dates,
daily,
cumulative,
title,
filename=filename,
ifShow=False)
filenames.append(filename)
population += pop_BL
if ifPrint:
print(title, filename)
done.append((title, filename))
print("\nTotal population covered:", population)
if ifPrint:
print("%d filenames written: %s" % (len(filenames), filenames))
return done
def Bundeslaender_alle(Bundeslaender, ts, ts_sorted, datacolumns, bnn,
distances, cmap, km, haupt):
print("Creating HTML files for all 'Bundeslaender'")
filenames, population = [], 0
rootpath = os.path.abspath(dataFiles.REPO_PATH)
for BL_name in Bundeslaender.index.tolist():
# for BL_name in ["Dummyland"]:
if BL_name == "Deutschland":
continue
print(BL_name, end=" ")
daily, cumulative, title, filename_PNG, pop_BL = dataMangling.get_BuLa(
Bundeslaender, BL_name, datacolumns)
filename_HTML = filename_PNG.replace(".png", ".html")
filename_HTML = filename_HTML.replace("bundesland_", "")
fn = bundesland(BL_name, filename_PNG, title, pop_BL, cumulative,
filename_HTML, ts, ts_sorted, datacolumns, bnn,
distances, cmap, km, haupt)
fn_abs = os.path.abspath(fn).replace(rootpath, "")
filenames.append((BL_name, fn_abs))
population += pop_BL
print("\nTotal population covered:", population)
print("%d filenames written: %s" % (len(filenames), filenames))
return filenames
def test_plot_Bundesland(ts, bnn, dates, datacolumns, Bundesland="Hessen"):
## Bundesland
# Bundesland = "Dummyland"
ts_BuLa, Bundeslaender = dataMangling.join_tables_for_and_aggregate_Bundeslaender(
ts, bnn)
daily, cumulative, title, filename, population = dataMangling.get_BuLa(
Bundeslaender, Bundesland, datacolumns)
plot_timeseries(datacolumns,
dates,
daily,
cumulative,
title,
filename=filename)
def BuLas_to_HTML_table(Bundeslaender,
datacolumns,
BL_names,
cmap,
table_filename="bundeslaender_Germany.html",
rolling_window_size=3,
header=PAGE % "Bundeslaender",
footer=PAGE_END,
divEnveloped=True):
# total_max_cum, digits = maxdata(ts_sorted)
tid = "table_bundeslaender"
page = header
if divEnveloped:
page += '<div class="tablearea" id="tablediv_bundeslaender">'
page += '<table id="%s" class="tableFixHead">\n' % tid
caption = "Click on column header name, to sort by that column; click again for other direction."
page += '<caption style="text-align:right;">%s</caption>' % caption
page += "<tr>"
for col in datacolumns:
page += "<th><span>%s</span></th>" % col
colcount = len(datacolumns)
cols = [
"7days new cases", "Bundesland", "info", "Prev. p.1mio",
"7days Incid.p.1mio", "Population", "expectation day", "Reff_4_7"
]
for i, colName in enumerate(cols):
cellid = "\'%shc%d\'" % (tid, i + colcount)
page += '<th onclick="sortTable(\'%s\', %d, %s)" id=%s>%s</th>' % (
tid, i + colcount, cellid, cellid, colName)
page += "</tr>"
for name_BL in BL_names:
labels = []
daily, cumulative, title, filename, pop_BL = dataMangling.get_BuLa(
Bundeslaender, name_BL, datacolumns)
labels += ['%d' % (Bundeslaender["new_last7days"][name_BL])]
labels += [bulaLink(name_BL)]
labels += [flag_image(name_BL)]
labels += [
"%d" % prevalence(datatable=Bundeslaender,
row_index=name_BL,
datacolumns=datacolumns,
population=pop_BL)
]
labels += [
'%d' % (1000000 * Bundeslaender["new_last7days"][name_BL] / pop_BL)
]
labels += ['{:,}'.format(pop_BL)]
labels += ["%.2f" % (Bundeslaender["centerday"][name_BL])]
labels += ["%.2f" % (Bundeslaender["Reff_4_7_last"][name_BL])]
page += toHTMLRow(Bundeslaender,
name_BL,
datacolumns,
cmap,
labels,
rolling_window_size=rolling_window_size) + "\n"
page += "</table>"
if divEnveloped:
page += " </div>"
page += ATTRIBUTION + footer
fn = None
if table_filename:
fn = os.path.join(dataFiles.PAGES_PATH, table_filename)
with open(fn, "w") as f:
f.write(page)
return fn, page