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Plotly
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‎README.md

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@@ -3445,8 +3445,7 @@ line(df, x='Date', y='Total Deaths per Million', color='Continent').show()
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<div id="e23ccacc-a456-478b-b467-7282a2165921" class="plotly-graph-div" style="height:315px; width:100%;"></div>
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```python
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import pandas as pd
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import plotly.graph_objects as go
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import pandas as pd, plotly.graph_objects as go
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def main():
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display_data(wrangle_data(*scrape_data()))
@@ -3457,8 +3456,8 @@ def scrape_data():
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df = pd.read_csv(url, usecols=['location', 'date', 'total_cases'])
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return df[df.location == 'World'].set_index('date').total_cases
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def scrape_yahoo(slug):
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url = f'https://query1.finance.yahoo.com/v7/finance/download/{slug}' + \
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'?period1=1579651200&period2=9999999999&interval=1d&events=history'
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url = (f'https://query1.finance.yahoo.com/v7/finance/download/{slug}?'
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'period1=1579651200&period2=9999999999&interval=1d&events=history')
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df = pd.read_csv(url, usecols=['Date', 'Close'])
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return df.set_index('Date').Close
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out = scrape_covid(), scrape_yahoo('BTC-USD'), scrape_yahoo('GC=F'), scrape_yahoo('^DJI')
@@ -3483,7 +3482,8 @@ def display_data(df):
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yaxis2=dict(title='%', rangemode='tozero', overlaying='y', side='right'),
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legend=dict(x=1.1),
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height=450
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).show()
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)
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figure.show()
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if __name__ == '__main__':
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main()

‎index.html

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@@ -54,7 +54,7 @@
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<body>
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<header>
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<aside>February 10, 2023</aside>
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<aside>March 4, 2023</aside>
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<a href="https://gto76.github.io" rel="author">Jure Šorn</a>
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</header>
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@@ -2807,8 +2807,7 @@ <h3 id="format-2">Format</h3><div><h4 id="forstandardtypesizesandmanualalignment
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<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:315px; width:100%;"></div><pre><code class="python language-python hljs"><span class="hljs-keyword">import</span> pandas <span class="hljs-keyword">as</span> pd
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<span class="hljs-keyword">import</span> plotly.graph_objects <span class="hljs-keyword">as</span> go
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<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:315px; width:100%;"></div><pre><code class="python language-python hljs"><span class="hljs-keyword">import</span> pandas <span class="hljs-keyword">as</span> pd, 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>
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display_data(wrangle_data(*scrape_data()))
@@ -2819,8 +2818,8 @@ <h3 id="format-2">Format</h3><div><h4 id="forstandardtypesizesandmanualalignment
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df = pd.read_csv(url, usecols=[<span class="hljs-string">'location'</span>, <span class="hljs-string">'date'</span>, <span class="hljs-string">'total_cases'</span>])
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<span class="hljs-keyword">return</span> df[df.location == <span class="hljs-string">'World'</span>].set_index(<span class="hljs-string">'date'</span>).total_cases
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<span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">scrape_yahoo</span><span class="hljs-params">(slug)</span>:</span>
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url = <span class="hljs-string">f'https://query1.finance.yahoo.com/v7/finance/download/<span class="hljs-subst">{slug}</span>'</span> + \
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<span class="hljs-string">'?period1=1579651200&amp;period2=9999999999&amp;interval=1d&amp;events=history'</span>
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url = (<span class="hljs-string">f'https://query1.finance.yahoo.com/v7/finance/download/<span class="hljs-subst">{slug}</span>?'</span>
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<span class="hljs-string">'period1=1579651200&amp;period2=9999999999&amp;interval=1d&amp;events=history'</span>)
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df = pd.read_csv(url, usecols=[<span class="hljs-string">'Date'</span>, <span class="hljs-string">'Close'</span>])
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<span class="hljs-keyword">return</span> df.set_index(<span class="hljs-string">'Date'</span>).Close
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out = scrape_covid(), scrape_yahoo(<span class="hljs-string">'BTC-USD'</span>), scrape_yahoo(<span class="hljs-string">'GC=F'</span>), scrape_yahoo(<span class="hljs-string">'^DJI'</span>)
@@ -2845,7 +2844,8 @@ <h3 id="format-2">Format</h3><div><h4 id="forstandardtypesizesandmanualalignment
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yaxis2=dict(title=<span class="hljs-string">'%'</span>, rangemode=<span class="hljs-string">'tozero'</span>, overlaying=<span class="hljs-string">'y'</span>, side=<span class="hljs-string">'right'</span>),
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legend=dict(x=<span class="hljs-number">1.1</span>),
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height=<span class="hljs-number">450</span>
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).show()
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)
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figure.show()
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<span class="hljs-keyword">if</span> __name__ == <span class="hljs-string">'__main__'</span>:
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main()
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<footer>
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<aside>February 10, 2023</aside>
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<aside>March 4, 2023</aside>
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<a href="https://gto76.github.io" rel="author">Jure Šorn</a>
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</footer>
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