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python-cheatsheet
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Plotly

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Jure Šorn 2 years ago
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2 changed files with 12 additions and 12 deletions
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  1. 10
      README.md
  2. 14
      index.html

10
README.md
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@ -3445,8 +3445,7 @@ line(df, x='Date', y='Total Deaths per Million', color='Continent').show()
<div id="e23ccacc-a456-478b-b467-7282a2165921" class="plotly-graph-div" style="height:315px; width:100%;"></div> <div id="e23ccacc-a456-478b-b467-7282a2165921" class="plotly-graph-div" style="height:315px; width:100%;"></div>
```python ```python
import pandas as pd import pandas as pd, plotly.graph_objects as go
import plotly.graph_objects as go
def main(): def main():
display_data(wrangle_data(*scrape_data())) display_data(wrangle_data(*scrape_data()))
@ -3457,8 +3456,8 @@ def scrape_data():
df = pd.read_csv(url, usecols=['location', 'date', 'total_cases']) df = pd.read_csv(url, usecols=['location', 'date', 'total_cases'])
return df[df.location == 'World'].set_index('date').total_cases return df[df.location == 'World'].set_index('date').total_cases
def scrape_yahoo(slug): def scrape_yahoo(slug):
url = f'https://query1.finance.yahoo.com/v7/finance/download/{slug}' + \ url = (f'https://query1.finance.yahoo.com/v7/finance/download/{slug}?'
'?period1=1579651200&period2=9999999999&interval=1d&events=history' 'period1=1579651200&period2=9999999999&interval=1d&events=history')
df = pd.read_csv(url, usecols=['Date', 'Close']) df = pd.read_csv(url, usecols=['Date', 'Close'])
return df.set_index('Date').Close return df.set_index('Date').Close
out = scrape_covid(), scrape_yahoo('BTC-USD'), scrape_yahoo('GC=F'), scrape_yahoo('^DJI') out = scrape_covid(), scrape_yahoo('BTC-USD'), scrape_yahoo('GC=F'), scrape_yahoo('^DJI')
@ -3483,7 +3482,8 @@ def display_data(df):
yaxis2=dict(title='%', rangemode='tozero', overlaying='y', side='right'), yaxis2=dict(title='%', rangemode='tozero', overlaying='y', side='right'),
legend=dict(x=1.1), legend=dict(x=1.1),
height=450 height=450
).show() )
figure.show()
if __name__ == '__main__': if __name__ == '__main__':
main() main()

14
index.html
View File

@ -54,7 +54,7 @@
<body> <body>
<header> <header>
<aside>February 10, 2023</aside> <aside>March 4, 2023</aside>
<a href="https://gto76.github.io" rel="author">Jure Šorn</a> <a href="https://gto76.github.io" rel="author">Jure Šorn</a>
</header> </header>
@ -2807,8 +2807,7 @@ line(df, x=<span class="hljs-string">'Date'</span>, y=<span class="hljs-string">
<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 <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
<span class="hljs-keyword">import</span> plotly.graph_objects <span class="hljs-keyword">as</span> go
<span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">main</span><span class="hljs-params">()</span>:</span> <span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">main</span><span class="hljs-params">()</span>:</span>
display_data(wrangle_data(*scrape_data())) display_data(wrangle_data(*scrape_data()))
@ -2819,8 +2818,8 @@ line(df, x=<span class="hljs-string">'Date'</span>, y=<span class="hljs-string">
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>]) 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>])
<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 <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
<span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">scrape_yahoo</span><span class="hljs-params">(slug)</span>:</span> <span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">scrape_yahoo</span><span class="hljs-params">(slug)</span>:</span>
url = <span class="hljs-string">f'https://query1.finance.yahoo.com/v7/finance/download/<span class="hljs-subst">{slug}</span>'</span> + \ url = (<span class="hljs-string">f'https://query1.finance.yahoo.com/v7/finance/download/<span class="hljs-subst">{slug}</span>?'</span>
<span class="hljs-string">'?period1=1579651200&amp;period2=9999999999&amp;interval=1d&amp;events=history'</span> <span class="hljs-string">'period1=1579651200&amp;period2=9999999999&amp;interval=1d&amp;events=history'</span>)
df = pd.read_csv(url, usecols=[<span class="hljs-string">'Date'</span>, <span class="hljs-string">'Close'</span>]) df = pd.read_csv(url, usecols=[<span class="hljs-string">'Date'</span>, <span class="hljs-string">'Close'</span>])
<span class="hljs-keyword">return</span> df.set_index(<span class="hljs-string">'Date'</span>).Close <span class="hljs-keyword">return</span> df.set_index(<span class="hljs-string">'Date'</span>).Close
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>) 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 @@ line(df, x=<span class="hljs-string">'Date'</span>, y=<span class="hljs-string">
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>), 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>),
legend=dict(x=<span class="hljs-number">1.1</span>), legend=dict(x=<span class="hljs-number">1.1</span>),
height=<span class="hljs-number">450</span> height=<span class="hljs-number">450</span>
).show() )
figure.show()
<span class="hljs-keyword">if</span> __name__ == <span class="hljs-string">'__main__'</span>: <span class="hljs-keyword">if</span> __name__ == <span class="hljs-string">'__main__'</span>:
main() main()
@ -2932,7 +2932,7 @@ $ pyinstaller script.py --add-data '&lt;path&gt;:.' <span class="hljs-comment">
<footer> <footer>
<aside>February 10, 2023</aside> <aside>March 4, 2023</aside>
<a href="https://gto76.github.io" rel="author">Jure Šorn</a> <a href="https://gto76.github.io" rel="author">Jure Šorn</a>
</footer> </footer>

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