percent increase plot added

coronavis.py

@@ -14,7 +14,7 @@ sys.path.append(".")
 # countries of interest
 countries = ["Germany", "Italy", "Spain", "China", "Japan", "South Korea", "Iran", "United States", "World"]
 # enabled plots
-plots = ["basics", "death_per_case", "normalized_to_first_death", "delay_from_china", "delay_from_usa", "normalized_to_ten_cases"]
+plots = ["basics", "death_per_case", "normalized_to_first_death", "delay_from_china", "delay_from_usa", "normalized_to_ten_cases", "percent_increase"]
 ###
 def get_data():
     """fetch data from remote, cache locally and reorganize internal data

percent_increase.py

@@ -0,0 +1,32 @@
+"""
+Plot percentual increase
+"""
+import matplotlib.pyplot as pp
+import numpy as np
+name="percent_increase"
+
+def moving_average(x, w):
+    return np.convolve(x, np.ones(w), 'valid') / w
+
+def plot(data, countries):
+    figsize = (10,5)
+    for loc in data:
+        if loc not in countries:
+            continue
+        time, new_cases, new_deaths, total_cases, total_deaths = data[loc]
+        
+        # moving average of relative new cases with a window size of 3 days
+        window_size = 3
+        increase = moving_average(np.array(new_cases)/np.array(total_cases), window_size) * 100
+        pp.figure(name, figsize=figsize)
+        delay = 50 # days
+        pp.plot(time[int(window_size/2)+delay:-int(window_size/2)], increase[delay:], label=f"{loc}", marker=".")
+
+    pp.ylabel("percent increase wrt to previous day")
+    pp.xticks(rotation=45)
+    pp.legend(frameon=False)
+    pp.tight_layout()
+
+    pp.savefig(name+".png")
+    pp.yscale("log")
+    pp.savefig(name+"log.png")