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<li><a class="reference internal" href="#"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.compose</span></code>.make_column_selector</a><ul>
<li><a class="reference internal" href="#examples-using-sklearn-compose-make-column-selector">Examples using <code class="docutils literal notranslate"><span class="pre">sklearn.compose.make_column_selector</span></code></a></li>
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<div class="section" id="sklearn-compose-make-column-selector">
<h1><a class="reference internal" href="../classes.html#module-sklearn.compose" title="sklearn.compose"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.compose</span></code></a>.make_column_selector<a class="headerlink" href="#sklearn-compose-make-column-selector" title="Permalink to this headline">¶</a></h1>
<dl class="py function">
<dt id="sklearn.compose.make_column_selector">
<code class="sig-prename descclassname">sklearn.compose.</code><code class="sig-name descname">make_column_selector</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">pattern</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="o">*</span></em>, <em class="sig-param"><span class="n">dtype_include</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">dtype_exclude</span><span class="o">=</span><span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/blob/23d876161/sklearn/compose/_column_transformer.py#L751"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#sklearn.compose.make_column_selector" title="Permalink to this definition">¶</a></dt>
<dd><p>Create a callable to select columns to be used with
<a class="reference internal" href="sklearn.compose.ColumnTransformer.html#sklearn.compose.ColumnTransformer" title="sklearn.compose.ColumnTransformer"><code class="xref py py-class docutils literal notranslate"><span class="pre">ColumnTransformer</span></code></a>.</p>
<p><a class="reference internal" href="#sklearn.compose.make_column_selector" title="sklearn.compose.make_column_selector"><code class="xref py py-func docutils literal notranslate"><span class="pre">make_column_selector</span></code></a> can select columns based on datatype or the
columns name with a regex. When using multiple selection criteria, <strong>all</strong>
criteria must match for a column to be selected.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><dl class="simple">
<dt><strong>pattern</strong><span class="classifier">str, default=None</span></dt><dd><p>Name of columns containing this regex pattern will be included. If
None, column selection will not be selected based on pattern.</p>
</dd>
<dt><strong>dtype_include</strong><span class="classifier">column dtype or list of column dtypes, default=None</span></dt><dd><p>A selection of dtypes to include. For more details, see
<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.select_dtypes.html#pandas.DataFrame.select_dtypes" title="(in pandas v1.2.1)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">pandas.DataFrame.select_dtypes</span></code></a>.</p>
</dd>
<dt><strong>dtype_exclude</strong><span class="classifier">column dtype or list of column dtypes, default=None</span></dt><dd><p>A selection of dtypes to exclude. For more details, see
<a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.select_dtypes.html#pandas.DataFrame.select_dtypes" title="(in pandas v1.2.1)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">pandas.DataFrame.select_dtypes</span></code></a>.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><dl class="simple">
<dt><strong>selector</strong><span class="classifier">callable</span></dt><dd><p>Callable for column selection to be used by a
<a class="reference internal" href="sklearn.compose.ColumnTransformer.html#sklearn.compose.ColumnTransformer" title="sklearn.compose.ColumnTransformer"><code class="xref py py-class docutils literal notranslate"><span class="pre">ColumnTransformer</span></code></a>.</p>
</dd>
</dl>
</dd>
</dl>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<dl class="simple">
<dt><a class="reference internal" href="sklearn.compose.ColumnTransformer.html#sklearn.compose.ColumnTransformer" title="sklearn.compose.ColumnTransformer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ColumnTransformer</span></code></a></dt><dd><p>Class that allows combining the outputs of multiple transformer objects used on column subsets of the data into a single feature space.</p>
</dd>
</dl>
</div>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="kn">import</span> <span class="n">StandardScaler</span><span class="p">,</span> <span class="n">OneHotEncoder</span>
<span class="gp">>>> </span><span class="kn">from</span> <span class="nn">sklearn.compose</span> <span class="kn">import</span> <span class="n">make_column_transformer</span>
<span class="gp">>>> </span><span class="kn">from</span> <span class="nn">sklearn.compose</span> <span class="kn">import</span> <span class="n">make_column_selector</span>
<span class="gp">>>> </span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="gp">>>> </span><span class="n">X</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s1">'city'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'London'</span><span class="p">,</span> <span class="s1">'London'</span><span class="p">,</span> <span class="s1">'Paris'</span><span class="p">,</span> <span class="s1">'Sallisaw'</span><span class="p">],</span>
<span class="gp">... </span> <span class="s1">'rating'</span><span class="p">:</span> <span class="p">[</span><span class="mi">5</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">]})</span>
<span class="gp">>>> </span><span class="n">ct</span> <span class="o">=</span> <span class="n">make_column_transformer</span><span class="p">(</span>
<span class="gp">... </span> <span class="p">(</span><span class="n">StandardScaler</span><span class="p">(),</span>
<span class="gp">... </span> <span class="n">make_column_selector</span><span class="p">(</span><span class="n">dtype_include</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">number</span><span class="p">)),</span> <span class="c1"># rating</span>
<span class="gp">... </span> <span class="p">(</span><span class="n">OneHotEncoder</span><span class="p">(),</span>
<span class="gp">... </span> <span class="n">make_column_selector</span><span class="p">(</span><span class="n">dtype_include</span><span class="o">=</span><span class="nb">object</span><span class="p">)))</span> <span class="c1"># city</span>
<span class="gp">>>> </span><span class="n">ct</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">X</span><span class="p">)</span>
<span class="go">array([[ 0.90453403, 1. , 0. , 0. ],</span>
<span class="go"> [-1.50755672, 1. , 0. , 0. ],</span>
<span class="go"> [-0.30151134, 0. , 1. , 0. ],</span>
<span class="go"> [ 0.90453403, 0. , 0. , 1. ]])</span>
</pre></div>
</div>
</dd></dl>
<div class="section" id="examples-using-sklearn-compose-make-column-selector">
<h2>Examples using <code class="docutils literal notranslate"><span class="pre">sklearn.compose.make_column_selector</span></code><a class="headerlink" href="#examples-using-sklearn-compose-make-column-selector" title="Permalink to this headline">¶</a></h2>
<div class="sphx-glr-thumbcontainer" tooltip="In this example, we will compare the training times and prediction performances of HistGradient..."><div class="figure align-default" id="id1">
<img alt="Categorical Feature Support in Gradient Boosting" src="../../_images/sphx_glr_plot_gradient_boosting_categorical_thumb.png" />
<p class="caption"><span class="caption-text"><a class="reference internal" href="../../auto_examples/ensemble/plot_gradient_boosting_categorical.html#sphx-glr-auto-examples-ensemble-plot-gradient-boosting-categorical-py"><span class="std std-ref">Categorical Feature Support in Gradient Boosting</span></a></span><a class="headerlink" href="#id1" title="Permalink to this image">¶</a></p>
</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="Stacking refers to a method to blend estimators. In this strategy, some estimators are individu..."><div class="figure align-default" id="id2">
<img alt="Combine predictors using stacking" src="../../_images/sphx_glr_plot_stack_predictors_thumb.png" />
<p class="caption"><span class="caption-text"><a class="reference internal" href="../../auto_examples/ensemble/plot_stack_predictors.html#sphx-glr-auto-examples-ensemble-plot-stack-predictors-py"><span class="std std-ref">Combine predictors using stacking</span></a></span><a class="headerlink" href="#id2" title="Permalink to this image">¶</a></p>
</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="This example illustrates how to apply different preprocessing and feature extraction pipelines ..."><div class="figure align-default" id="id3">
<img alt="Column Transformer with Mixed Types" src="../../_images/sphx_glr_plot_column_transformer_mixed_types_thumb.png" />
<p class="caption"><span class="caption-text"><a class="reference internal" href="../../auto_examples/compose/plot_column_transformer_mixed_types.html#sphx-glr-auto-examples-compose-plot-column-transformer-mixed-types-py"><span class="std std-ref">Column Transformer with Mixed Types</span></a></span><a class="headerlink" href="#id3" title="Permalink to this image">¶</a></p>
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