add vaccination state: data fetched in all_countries and included in index

all_countries.py

@@ -25,6 +25,8 @@ corr = {"Chile": 10000,
 
 def plot(data, countries, pop, **kwargs):
     figsize = (10,5)
+    
+    vaccs = []
 
     for loc in data:
         try:
@@ -136,6 +138,7 @@ def plot(data, countries, pop, **kwargs):
                 title += ", population = "+f"{pop[loc]['pop']:,}".replace(",",".")
             if not np.isnan(total_vaccinations[-1]):
                 title += ", vac rate: "+f"{total_vaccinations[-1]/pop[loc]['pop']*100:1.3f}%"
+                vaccs.append([loc, total_vaccinations[-1], total_vaccinations[-1]/pop[loc]['pop']*100]) # bookkeeping for overview
             ax1.set_title(title)
             fig.tight_layout()
             pp.text(0.002,0.005, f"plot generated {time_module.strftime('%Y-%m-%d %H:%M')}, CC-by-sa-nc, origin: dukun.de/corona, datasource: ourworldindata.org/coronavirus-source-data", color="dimgrey", fontsize=8, transform=fig.transFigure)
@@ -144,3 +147,13 @@ def plot(data, countries, pop, **kwargs):
             pp.close(fig)
         except Exception as e:
             print(f"=====> plotting failed for {loc}, skipping plot. Error: {e}")
+    
+    ## vaccination overview html
+    with open("vac_state.html", "w") as f:
+        # header
+        f.write("<table><tr><th>Land</th><th>Impfungen</th><th>Impfrate</th></tr>\n")
+        # data
+        for loc, tvac, rvac in vaccs:
+            f.write(f"<tr><td>{loc}</td><td>" + f"{tvac:,d}".replace(",",".") + f"</td><td>{rvac:3.3f}%</td></tr>\n".replace(".", ","))
+        # footer
+        f.write("</table>\n")