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@@ -164,6 +164,7 @@
 <li class="toctree-l1"><a class="reference internal" href="../installation.html">🚩 Installation</a></li>
 <li class="toctree-l1 current current-page"><a class="current reference internal" href="#">🚩 Basic usage</a></li>
 <li class="toctree-l1"><a class="reference internal" href="Using_redflag_with_sklearn.html">🚩 Using <code class="docutils literal notranslate"><span class="pre">redflag</span></code> with <code class="docutils literal notranslate"><span class="pre">sklearn</span></code></a></li>
+<li class="toctree-l1"><a class="reference internal" href="Using_redflag_with_Pandas.html">🚩 Using <code class="docutils literal notranslate"><span class="pre">redflag</span></code> with Pandas</a></li>
 <li class="toctree-l1"><a class="reference internal" href="Tutorial.html">Tutorial</a></li>
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API reference</span></p>
@@ -240,7 +241,7 @@ <h1>🚩 Basic usage<a class="headerlink" href="#basic-usage" title="Permalink t
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;0.2.0&#39;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;0.3.0rc0&#39;
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@@ -546,10 +547,10 @@ <h2>Imbalance metrics<a class="headerlink" href="#imbalance-metrics" title="Perm
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.lines.Line2D at 0x7f1d7a233c10&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.lines.Line2D at 0x7f9c9413d8d0&gt;
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+<img alt="../_images/2bb44d03d42247969124582eea41e70bf462d350c4bfaceb853eecf4e89f5d6d.png" src="../_images/2bb44d03d42247969124582eea41e70bf462d350c4bfaceb853eecf4e89f5d6d.png" />
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@@ -592,7 +593,7 @@ <h2>Outliers<a class="headerlink" href="#outliers" title="Permalink to this head
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;Axes: xlabel=&#39;GR&#39;, ylabel=&#39;Density&#39;&gt;
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-<img alt="../_images/856f0e1fc637ef9ecc9d3445785842c13673ca3c26a76ef7ef00288e3ac12c75.png" src="../_images/856f0e1fc637ef9ecc9d3445785842c13673ca3c26a76ef7ef00288e3ac12c75.png" />
+<img alt="../_images/189e714bdbe64f6e2b2407adf9c51e93f35691cfd08985926c07cc7c4c5d6806.png" src="../_images/189e714bdbe64f6e2b2407adf9c51e93f35691cfd08985926c07cc7c4c5d6806.png" />
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 <p>By default it uses an <a class="reference external" href="https://scikit-learn.org/stable/modules/outlier_detection.html#isolation-forest"><strong>isolation forest</strong></a> to detect the outliers at the 99% confidence level, but you can also opt to use <strong>local outlier factor</strong>, <strong>elliptic envelope</strong>, or <strong>Mahalanobis distance</strong>, setting the confidence level to choose how many outliers you will see, or (equivalently) setting the <code class="docutils literal notranslate"><span class="pre">threshold</span></code> to the number of standard deviations away from the mean you regard as signal.</p>
@@ -629,10 +630,10 @@ <h2>Outliers<a class="headerlink" href="#outliers" title="Permalink to this head
 use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.JointGrid at 0x7f1d799ffc10&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.JointGrid at 0x7f9c914aef50&gt;
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-<img alt="../_images/81440183e7b7b8c0df05d99a96f03b512184217e3eebf2d010788e69fdbcaf1e.png" src="../_images/81440183e7b7b8c0df05d99a96f03b512184217e3eebf2d010788e69fdbcaf1e.png" />
+<img alt="../_images/7f1d114ebd5dc69f6ffee981278b2058bc2c78ca4b6ea7e3ad264388429d3ee5.png" src="../_images/7f1d114ebd5dc69f6ffee981278b2058bc2c78ca4b6ea7e3ad264388429d3ee5.png" />
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 <p>A helper function can compute the number of expected outliers, given the dataset size and assuming a Gaussian distribution of samples.</p>
@@ -686,13 +687,12 @@ <h2>Outliers<a class="headerlink" href="#outliers" title="Permalink to this head
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 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
 use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
-The figure layout has changed to tight
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f1d79939710&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f9c913e9d10&gt;
 </pre></div>
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-<img alt="../_images/65546e5489134a0e88075df1688e20ce93eb6c463b52829442738d0a22e629a3.png" src="../_images/65546e5489134a0e88075df1688e20ce93eb6c463b52829442738d0a22e629a3.png" />
+<img alt="../_images/c500094f9d5d7fde1b8fc58abf1efa414d71919ccc446115be0cb4500e16ecf4.png" src="../_images/c500094f9d5d7fde1b8fc58abf1efa414d71919ccc446115be0cb4500e16ecf4.png" />
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 <p>This truncated normal distribution has no outliers (there are only about 60, compared to the 100 we expect at this confidence level of 99% on this dataset of 10,000 records).</p>
@@ -735,13 +735,12 @@ <h2>Clipping<a class="headerlink" href="#clipping" title="Permalink to this head
 <div class="cell_output docutils container">
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
 use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
-The figure layout has changed to tight
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f1d799274d0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f9c913e9cd0&gt;
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-<img alt="../_images/d78e85605ed7b0b7927b040c65b314bea5f357944ad18bb72003f8c4b14217bf.png" src="../_images/d78e85605ed7b0b7927b040c65b314bea5f357944ad18bb72003f8c4b14217bf.png" />
+<img alt="../_images/cd5838a765b85cc46ad4d3822253aaa1b0e9802d751724777bec08aee732895f.png" src="../_images/cd5838a765b85cc46ad4d3822253aaa1b0e9802d751724777bec08aee732895f.png" />
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@@ -783,7 +782,7 @@ <h2>Distribution shape<a class="headerlink" href="#distribution-shape" title="Pe
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Distribution(name=&#39;gumbel_r&#39;, shape=[], loc=10.04057253630259, scale=4.93432972751726)
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Distribution(name=&#39;gumbel_r&#39;, shape=[], loc=10.040572536302586, scale=4.93432972751726)
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@@ -797,13 +796,12 @@ <h2>Distribution shape<a class="headerlink" href="#distribution-shape" title="Pe
 <div class="cell_output docutils container">
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
 use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.
-The figure layout has changed to tight
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f1d79949050&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;seaborn.axisgrid.FacetGrid at 0x7f9c901a0350&gt;
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-<img alt="../_images/558976e2cc754b438ed5d0491d738798d674f500160ff2db8fc03a486aef34b3.png" src="../_images/558976e2cc754b438ed5d0491d738798d674f500160ff2db8fc03a486aef34b3.png" />
+<img alt="../_images/9a24bafc24d9b00917a0e1f2bf75c12f68152f5e5322a8a58a83974f1943cf77.png" src="../_images/9a24bafc24d9b00917a0e1f2bf75c12f68152f5e5322a8a58a83974f1943cf77.png" />
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@@ -846,7 +844,7 @@ <h2>Identical distribution assumption<a class="headerlink" href="#identical-dist
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;Axes: &gt;
 </pre></div>
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-<img alt="../_images/afb0cffb1cc67720c3d087b054472f7b786720b4164f405e5bfca2f24855f0e6.png" src="../_images/afb0cffb1cc67720c3d087b054472f7b786720b4164f405e5bfca2f24855f0e6.png" />
+<img alt="../_images/6b2b81cc835271287d4f26ba612ae8cf33c73595ed36977f340ec66e6a06045e.png" src="../_images/6b2b81cc835271287d4f26ba612ae8cf33c73595ed36977f340ec66e6a06045e.png" />
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 <p>This shows us that the distributions of the PE log in well indices 6 and 7 are somewhat different and may be anomalous. It also suggests that the CROSS H CATTLE well is different from the others.</p>
@@ -949,7 +947,7 @@ <h2>Feature importance<a class="headerlink" href="#feature-importance" title="Pe
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([0.25902843, 0.37002836, 0.27214534, 0.09570146, 0.        ])
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([0.29846905, 0.3436017 , 0.26735854, 0.08864821, 0.        ])
 </pre></div>
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@@ -976,7 +974,7 @@ <h2>Feature importance<a class="headerlink" href="#feature-importance" title="Pe
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([1, 2, 0])
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([1, 0, 2])
 </pre></div>
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@@ -994,7 +992,7 @@ <h2>Feature importance<a class="headerlink" href="#feature-importance" title="Pe
 </div>
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([0.08419825, 0.35895654, 0.53160036, 0.02524486, 0.        ])
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([0.09299158, 0.36499301, 0.50510961, 0.0369058 , 0.        ])
 </pre></div>
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