Fixed source url.

[python.git] / covid19.py

diff --git a/covid19.py b/covid19.py
index 0fd9ecc..e633b03 100755 (executable)
--- a/covid19.py
+++ b/covid19.py
@@ -6,7 +6,7 @@ import matplotlib.pyplot as plt
 import matplotlib.dates as mdates
 import urllib.request
 
-url = 'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Confirmed.csv'
+url = 'https://github.com/CSSEGISandData/COVID-19/raw/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Confirmed.csv'
 
 file = 'time_series_19-covid-Confirmed.csv'
 
@@ -44,8 +44,8 @@ with open(file, newline='') as csvfile:
 fig = plt.figure()
 ax = fig.add_subplot(1, 1, 1)
 
-ax.grid(color='gray', linestyle='-', linewidth=0.25)
-
+# ax.grid
+ax.yaxis.grid(color='gray', linestyle='-', linewidth=0.25)
 ax.set_title('Nb. of COVID-19 cases')
 ax.set_xlabel('Date', labelpad = 10)
 ax.set_yscale('log')
@@ -54,17 +54,22 @@ myFmt = mdates.DateFormatter('%b %d')
 ax.xaxis.set_major_formatter(myFmt)
 dates = mdates.epoch2num(times)
 
-for label, color in [ ('World', 'blue'),
-                      ('Switzerland', 'red'),
-                      ('France', 'green'),
-                      ('South Korea', 'gray'),
-                      ('Mainland China', 'orange') ]:
-    ax.plot(dates, nb_cases[label], color = color, label = label)
+for key, color, label, delta in [
+        ('World', 'blue', 'World', 0),
+        ('Switzerland', 'red', 'Switzerland', 14),
+        ('France', 'lightgreen', 'France', 11),
+        ('US', 'black', 'USA', 14),
+        ('Korea, South', 'gray', 'S. Korea', 0),
+        ('Italy', 'purple', 'Italy', 3),
+        ('China', 'orange', 'China', 0)
+]:
+    delta = 0
+    ax.plot(dates[:dates.shape[0]-delta], nb_cases[key][delta:], color = color, label = label, linewidth=2)
 
 # ax.legend(loc='center left', bbox_to_anchor=(1, 0.5), frameon = False)
 ax.legend(frameon = False)
 
 plt.show()
-# fig.savefig('covid19.svg')
+fig.savefig('covid19.png')
 
 ######################################################################