Plotly

README.md

@@ -3460,7 +3460,6 @@ px.line(df, x='Date', y='Total Deaths per Million', color='Continent').show()
 # $ pip3 install pandas lxml selenium plotly
 import pandas as pd, selenium.webdriver, plotly.graph_objects as go
 
-
 def main():
     covid, (bitcoin, gold, dow) = get_covid_cases(), get_tickers()
     df = wrangle_data(covid, bitcoin, gold, dow)

index.html

@@ -2808,7 +2808,6 @@ px.line(df, x=<span class="hljs-string">'Date'</span>, y=<span class="hljs-strin
 <div><h4 id="displaysamultiaxislinechartoftotalcoronaviruscasesandchangesinpricesofbitcoindowjonesandgold">Displays a multi-axis line chart of total coronavirus cases and changes in prices of Bitcoin, Dow Jones and gold:</h4><p></p><div id="e23ccacc-a456-478b-b467-7282a2165921" class="plotly-graph-div" style="height:287px; width:935px;"></div><pre><code class="python language-python hljs"><span class="hljs-comment"># $ pip3 install pandas lxml selenium plotly</span>
 <span class="hljs-keyword">import</span> pandas <span class="hljs-keyword">as</span> pd, selenium.webdriver, plotly.graph_objects <span class="hljs-keyword">as</span> go
 
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 <span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">main</span><span class="hljs-params">()</span>:</span>
     covid, (bitcoin, gold, dow) = get_covid_cases(), get_tickers()
     df = wrangle_data(covid, bitcoin, gold, dow)