deploy: 45c1384

_sources/notes/2024-10-17.md

@@ -109,7 +109,7 @@ X_train, X_test, y_train, y_test = train_test_split(iris_df[feature_vars],
 This function returns multiple values, the docs say that it returns [twice as many](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html#:~:text=splittinglist%2C%20length%3D2%20*%20len(arrays)) as it is passed.  We passed two separate things, the features and the labels separated, so we get train and test each for both.  
 
 ```{note}
-If you get different numbers fort the index than I do here or run the train test split multipe times and see things change, you have a different ranomd seed above. 
+If you get different numbers for the index than I do here or run the train test split multipe times and see things change, you have a different ranomd seed above. 
 ```
 
 ```{code-cell} ipython3
@@ -298,7 +298,8 @@ Gaussian Naive Bayes is a very simple model, but it is a {term}`generative` mode
 
 ```{code-cell} ipython3
 N = 20
-gnb_df = pd.DataFrame(np.concatenate([np.random.multivariate_normal(th, sig*np.eye(4),N)
+n_features = len(feature_vars)
+gnb_df = pd.DataFrame(np.concatenate([np.random.multivariate_normal(th, sig*np.eye(n_features),N)
                  for th, sig in zip(gnb.theta_,gnb.var_)]),
                  columns = gnb.feature_names_in_)
 gnb_df['species'] = [ci for cl in [[c]*N for c in gnb.classes_] for ci in cl]

notes/2024-09-17.html

@@ -656,54 +656,54 @@ <h3><span class="section-number">4.1.1. </span>Summarizing and Visualizing Data
   </thead>
   <tbody>
     <tr>
-      <th>6725</th>
-      <td>2012</td>
-      <td>North American Coal</td>
-      <td>Investor-owned Company</td>
-      <td>Lignite Coal</td>
-      <td>25.764311</td>
+      <th>6827</th>
+      <td>1995</td>
+      <td>North Korea</td>
+      <td>Nation State</td>
+      <td>Anthracite Coal</td>
+      <td>13.221050</td>
       <td>Million tonnes/yr</td>
-      <td>34.503826</td>
+      <td>38.574888</td>
     </tr>
     <tr>
-      <th>2795</th>
-      <td>1932</td>
-      <td>ConocoPhillips</td>
+      <th>1591</th>
+      <td>2018</td>
+      <td>Canadian Natural Resources</td>
       <td>Investor-owned Company</td>
       <td>Oil &amp; NGL</td>
-      <td>27.595849</td>
+      <td>299.665000</td>
       <td>Million bbl/yr</td>
-      <td>11.004615</td>
+      <td>119.499778</td>
     </tr>
     <tr>
-      <th>8795</th>
-      <td>1969</td>
+      <th>1166</th>
+      <td>2009</td>
+      <td>BHP</td>
+      <td>Investor-owned Company</td>
+      <td>Metallurgical Coal</td>
+      <td>36.416000</td>
+      <td>Million tonnes/yr</td>
+      <td>108.032327</td>
+    </tr>
+    <tr>
+      <th>9007</th>
+      <td>2015</td>
       <td>Poland</td>
       <td>Nation State</td>
-      <td>Lignite Coal</td>
-      <td>76.837868</td>
+      <td>Metallurgical Coal</td>
+      <td>12.985117</td>
       <td>Million tonnes/yr</td>
-      <td>102.902050</td>
+      <td>38.521870</td>
     </tr>
     <tr>
-      <th>4332</th>
-      <td>1931</td>
-      <td>ExxonMobil</td>
+      <th>11088</th>
+      <td>1999</td>
+      <td>Suncor Energy</td>
       <td>Investor-owned Company</td>
       <td>Natural Gas</td>
-      <td>124.810560</td>
+      <td>393.800000</td>
       <td>Bcf/yr</td>
-      <td>9.097490</td>
-    </tr>
-    <tr>
-      <th>4230</th>
-      <td>2011</td>
-      <td>Exxaro Resources Ltd</td>
-      <td>Investor-owned Company</td>
-      <td>Metallurgical Coal</td>
-      <td>4.503228</td>
-      <td>Million tonnes/yr</td>
-      <td>13.359353</td>
+      <td>28.704236</td>
     </tr>
   </tbody>
 </table>
@@ -1100,59 +1100,59 @@ <h3><span class="section-number">4.5.4. </span>How a column is added<a class="he
   </thead>
   <tbody>
     <tr>
-      <th>3341</th>
-      <td>2017</td>
-      <td>CRH</td>
-      <td>Investor-owned Company</td>
-      <td>Cement</td>
-      <td>21.400000</td>
-      <td>Million Tonnes CO2</td>
-      <td>14.889350</td>
-      <td>Cement</td>
+      <th>8908</th>
+      <td>1996</td>
+      <td>Poland</td>
+      <td>Nation State</td>
+      <td>Lignite Coal</td>
+      <td>63.845576</td>
+      <td>Million tonnes/yr</td>
+      <td>85.502641</td>
+      <td>Coal</td>
     </tr>
     <tr>
-      <th>1700</th>
-      <td>2021</td>
-      <td>Cenovus Energy</td>
+      <th>4276</th>
+      <td>1903</td>
+      <td>ExxonMobil</td>
       <td>Investor-owned Company</td>
-      <td>Oil &amp; NGL</td>
-      <td>234.439500</td>
-      <td>Million bbl/yr</td>
-      <td>93.489291</td>
-      <td>Oil &amp; NGL</td>
+      <td>Natural Gas</td>
+      <td>17.322720</td>
+      <td>Bcf/yr</td>
+      <td>1.262660</td>
+      <td>Natural Gas</td>
     </tr>
     <tr>
-      <th>12217</th>
-      <td>1976</td>
-      <td>Westmoreland Mining</td>
-      <td>Investor-owned Company</td>
-      <td>Sub-Bituminous Coal</td>
-      <td>4.768391</td>
-      <td>Million tonnes/yr</td>
-      <td>9.627813</td>
-      <td>Coal</td>
+      <th>8412</th>
+      <td>1992</td>
+      <td>Petroleum Development Oman</td>
+      <td>State-owned Entity</td>
+      <td>Natural Gas</td>
+      <td>145.655315</td>
+      <td>Bcf/yr</td>
+      <td>10.616873</td>
+      <td>Natural Gas</td>
     </tr>
     <tr>
-      <th>9739</th>
-      <td>2009</td>
-      <td>RWE</td>
+      <th>4248</th>
+      <td>2020</td>
+      <td>Exxaro Resources Ltd</td>
       <td>Investor-owned Company</td>
-      <td>Lignite Coal</td>
-      <td>92.300000</td>
+      <td>Metallurgical Coal</td>
+      <td>5.331660</td>
       <td>Million tonnes/yr</td>
-      <td>123.609094</td>
+      <td>15.816993</td>
       <td>Coal</td>
     </tr>
     <tr>
-      <th>2955</th>
-      <td>2012</td>
-      <td>ConocoPhillips</td>
-      <td>Investor-owned Company</td>
-      <td>Oil &amp; NGL</td>
-      <td>334.774000</td>
-      <td>Million bbl/yr</td>
-      <td>133.500472</td>
-      <td>Oil &amp; NGL</td>
+      <th>9694</th>
+      <td>2022</td>
+      <td>Russian Federation</td>
+      <td>Nation State</td>
+      <td>Metallurgical Coal</td>
+      <td>98.936523</td>
+      <td>Million tonnes/yr</td>
+      <td>293.506779</td>
+      <td>Coal</td>
     </tr>
   </tbody>
 </table>

notes/2024-09-19.html

@@ -697,10 +697,10 @@ <h2><span class="section-number">5.8. </span>Emissions by type<a class="headerli
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f7f44d59580&gt;
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-<img alt="../_images/9ed7bca22165368840adb5e50c3342959137200e3418dd93524edf46f12d011f.png" src="../_images/9ed7bca22165368840adb5e50c3342959137200e3418dd93524edf46f12d011f.png" />
+<img alt="../_images/d85b0dfc69d388eb167bf2ddd3053528d3d2e7630935a635d2fc154ec9b50bcf.png" src="../_images/d85b0dfc69d388eb167bf2ddd3053528d3d2e7630935a635d2fc154ec9b50bcf.png" />
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f7f44d593d0&gt;
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-<img alt="../_images/d8553f1d1cb1cbdb7ac575fa6ef38ab4502f8e9a982a9003631f52ccba63eff3.png" src="../_images/d8553f1d1cb1cbdb7ac575fa6ef38ab4502f8e9a982a9003631f52ccba63eff3.png" />
+<img alt="../_images/59d15a747a6b613ac8f5843eb2f2006a0b86e321f4307ec4a3e64d1f3ecfd5cd.png" src="../_images/59d15a747a6b613ac8f5843eb2f2006a0b86e321f4307ec4a3e64d1f3ecfd5cd.png" />
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@@ -724,10 +724,10 @@ <h2><span class="section-number">5.8. </span>Emissions by type<a class="headerli
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 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f7f42906d90&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7fc6d44d86d0&gt;
 </pre></div>
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-<img alt="../_images/010d89ff8bd6ef5ec37c57872f951edeab870c1bf9709c68e5cc6dcc64672b8b.png" src="../_images/010d89ff8bd6ef5ec37c57872f951edeab870c1bf9709c68e5cc6dcc64672b8b.png" />
+<img alt="../_images/fce62066c3db9c53cd03287e1243409b03943763f2514dc0162427b085ecc165.png" src="../_images/fce62066c3db9c53cd03287e1243409b03943763f2514dc0162427b085ecc165.png" />
 </div>
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 <div class="cell docutils container">
@@ -738,10 +738,10 @@ <h2><span class="section-number">5.8. </span>Emissions by type<a class="headerli
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f7f44e66580&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7fc6d2096490&gt;
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 </div>
-<img alt="../_images/efa5e892f653cd8ae3c68af7d322cfa8e68f349a3b3661283fda277c7fc46ae9.png" src="../_images/efa5e892f653cd8ae3c68af7d322cfa8e68f349a3b3661283fda277c7fc46ae9.png" />
+<img alt="../_images/825221cc653ab068a4c8df4ff9faca5d5a5896f224f37f8ead8dbdcd24d00e86.png" src="../_images/825221cc653ab068a4c8df4ff9faca5d5a5896f224f37f8ead8dbdcd24d00e86.png" />
 </div>
 </div>
 <p>Example okay questions:</p>
@@ -764,7 +764,7 @@ <h2><span class="section-number">5.9. </span>Emissions over time?<a class="heade
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f7f422b6ca0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7fc6d2106ee0&gt;
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 <img alt="../_images/ec4bdfdbb84e45f3ba73c0394aa651e29c627e83aa50e02df833dab1767490c9.png" src="../_images/ec4bdfdbb84e45f3ba73c0394aa651e29c627e83aa50e02df833dab1767490c9.png" />

notes/2024-09-24.html

@@ -1638,7 +1638,7 @@ <h1><span class="section-number">7. </span>Transforming the Coffee data<a class=
 </div>
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7fcbb7e89ee0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7fed404ae2e0&gt;
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 <img alt="../_images/676006e745ab971e76123035435acc4fbdf1dc410f310127d29f6d6b7e4efb05.png" src="../_images/676006e745ab971e76123035435acc4fbdf1dc410f310127d29f6d6b7e4efb05.png" />

notes/2024-09-26.html

@@ -1920,16 +1920,16 @@ <h2><span class="section-number">8.7. </span>Combining parts of dataframes<a cla
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>341     (-1.062, 354.0]
-94       (354.0, 708.0]
-1097    (-1.062, 354.0]
-1212    (-1.062, 354.0]
-745     (-1.062, 354.0]
-244     (-1.062, 354.0]
-636     (-1.062, 354.0]
-653     (-1.062, 354.0]
-850     (-1.062, 354.0]
-442     (-1.062, 354.0]
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>256     (-1.062, 354.0]
+414     (-1.062, 354.0]
+1052    (-1.062, 354.0]
+1148    (-1.062, 354.0]
+836     (-1.062, 354.0]
+662     (-1.062, 354.0]
+1200    (-1.062, 354.0]
+419     (-1.062, 354.0]
+1124    (-1.062, 354.0]
+178      (354.0, 708.0]
 Name: Number.of.Bags, dtype: category
 Categories (3, interval[float64, right]): [(-1.062, 354.0] &lt; (354.0, 708.0] &lt; (708.0, 1062.0]]
 </pre></div>

notes/2024-10-03.html

@@ -1072,7 +1072,7 @@ <h3><span class="section-number">10.2.2. </span>Accessing a Database from Python
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+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(&#39;nba1819.db&#39;, &lt;http.client.HTTPMessage at 0x7f9ee829fd30&gt;)
 </pre></div>
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@@ -1095,7 +1095,7 @@ <h3><span class="section-number">10.2.2. </span>Accessing a Database from Python
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;sqlite3.Cursor at 0x7fd6e2c4ace0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;sqlite3.Cursor at 0x7f9ee827fd50&gt;
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