unitycoder
diff --git a/‎README.md
Lines changed: 1 addition & 1 deletion b/‎README.md
Lines changed: 1 addition & 1 deletion
diff --git a/‎index.html
Lines changed: 1 addition & 1 deletion b/‎index.html
Lines changed: 1 addition & 1 deletion
diff --git a/‎web/covid_cases.js
Lines changed: 2813 additions & 1 deletion b/‎web/covid_cases.js
Lines changed: 2813 additions & 1 deletion
diff --git a/‎web/covid_deaths.js
Lines changed: 3602 additions & 1 deletion b/‎web/covid_deaths.js
Lines changed: 3602 additions & 1 deletion
diff --git a/‎web/update_plots.py
Lines changed: 5 additions & 3 deletions b/‎web/update_plots.py
Lines changed: 5 additions & 3 deletions
@@ -3367,7 +3367,7 @@ continents = pd.read_csv('https://datahub.io/JohnSnowLabs/country-and-continent-
 df = pd.merge(covid, continents, left_on='iso_code', right_on='Three_Letter_Country_Code')
 df = df.groupby(['Continent_Name', 'date']).sum().reset_index()
 df['Total Deaths per Million'] = df.total_deaths * 1e6 / df.population
-df = df[('2020-03-14' < df.date) & (df.date < '2020-06-25')]
+df = df[('2020-03-14' < df.date) & (df.date < '2020-10-22')]
 df = df.rename({'date': 'Date', 'Continent_Name': 'Continent'}, axis='columns')
 line(df, x='Date', y='Total Deaths per Million', color='Continent').show()
 ```
 
@@ -2858,7 +2858,7 @@
 df = pd.merge(covid, continents, left_on=<span class="hljs-string">'iso_code'</span>, right_on=<span class="hljs-string">'Three_Letter_Country_Code'</span>)
 df = df.groupby([<span class="hljs-string">'Continent_Name'</span>, <span class="hljs-string">'date'</span>]).sum().reset_index()
 df[<span class="hljs-string">'Total Deaths per Million'</span>] = df.total_deaths * <span class="hljs-number">1e6</span> / df.population
-df = df[(<span class="hljs-string">'2020-03-14'</span> &lt; df.date) &amp; (df.date &lt; <span class="hljs-string">'2020-06-25'</span>)]
+df = df[(<span class="hljs-string">'2020-03-14'</span> &lt; df.date) &amp; (df.date &lt; <span class="hljs-string">'2020-10-22'</span>)]
 df = df.rename({<span class="hljs-string">'date'</span>: <span class="hljs-string">'Date'</span>, <span class="hljs-string">'Continent_Name'</span>: <span class="hljs-string">'Continent'</span>}, axis=<span class="hljs-string">'columns'</span>)
 line(df, x=<span class="hljs-string">'Date'</span>, y=<span class="hljs-string">'Total Deaths per Million'</span>, color=<span class="hljs-string">'Continent'</span>).show()
 </code></pre></div>
 
@@ -8,11 +8,12 @@
 import pandas as pd
 from plotly.express import line
 import plotly.graph_objects as go
+import re
 
 
 def main():
-    print('Updating covid deaths...')
-    update_covid_deaths()
+    # print('Updating covid deaths...')
+    # update_covid_deaths()
     print('Updating covid cases...')
     update_confirmed_cases()
 
@@ -88,7 +89,8 @@ def get_trace(col_name):
 
 def update_file(filename, figure):
     lines = read_file(filename)
-    out = lines[:6] + [f'        {figure.to_json()}\n', '    )\n', '};\n']
+    f_json = figure.to_json(pretty=True).replace('\n', '\n        ')
+    out = lines[:6] + [f'        {f_json}\n', '    )\n', '};\n']
     write_to_file(filename, out)