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| <div class="section" id="pyspark-sql-dataframestatfunctions"> |
| <h1>pyspark.sql.DataFrameStatFunctions<a class="headerlink" href="#pyspark-sql-dataframestatfunctions" title="Permalink to this headline">¶</a></h1> |
| <dl class="py class"> |
| <dt id="pyspark.sql.DataFrameStatFunctions"> |
| <em class="property">class </em><code class="sig-prename descclassname">pyspark.sql.</code><code class="sig-name descname">DataFrameStatFunctions</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">df</span><span class="p">:</span> <span class="n">pyspark.sql.dataframe.DataFrame</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../_modules/pyspark/sql/dataframe.html#DataFrameStatFunctions"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.sql.DataFrameStatFunctions" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Functionality for statistic functions with <a class="reference internal" href="pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 1.4.0.</span></p> |
| </div> |
| <div class="versionchanged"> |
| <p><span class="versionmodified changed">Changed in version 3.4.0: </span>Supports Spark Connect.</p> |
| </div> |
| <p class="rubric">Methods</p> |
| <table class="longtable table autosummary"> |
| <colgroup> |
| <col style="width: 10%" /> |
| <col style="width: 90%" /> |
| </colgroup> |
| <tbody> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.sql.DataFrameStatFunctions.approxQuantile.html#pyspark.sql.DataFrameStatFunctions.approxQuantile" title="pyspark.sql.DataFrameStatFunctions.approxQuantile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">approxQuantile</span></code></a>(col, probabilities, relativeError)</p></td> |
| <td><p>Calculates the approximate quantiles of numerical columns of a <a class="reference internal" href="pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.sql.DataFrameStatFunctions.corr.html#pyspark.sql.DataFrameStatFunctions.corr" title="pyspark.sql.DataFrameStatFunctions.corr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">corr</span></code></a>(col1, col2[, method])</p></td> |
| <td><p>Calculates the correlation of two columns of a <a class="reference internal" href="pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> as a double value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.sql.DataFrameStatFunctions.cov.html#pyspark.sql.DataFrameStatFunctions.cov" title="pyspark.sql.DataFrameStatFunctions.cov"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cov</span></code></a>(col1, col2)</p></td> |
| <td><p>Calculate the sample covariance for the given columns, specified by their names, as a double value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.sql.DataFrameStatFunctions.crosstab.html#pyspark.sql.DataFrameStatFunctions.crosstab" title="pyspark.sql.DataFrameStatFunctions.crosstab"><code class="xref py py-obj docutils literal notranslate"><span class="pre">crosstab</span></code></a>(col1, col2)</p></td> |
| <td><p>Computes a pair-wise frequency table of the given columns.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.sql.DataFrameStatFunctions.freqItems.html#pyspark.sql.DataFrameStatFunctions.freqItems" title="pyspark.sql.DataFrameStatFunctions.freqItems"><code class="xref py py-obj docutils literal notranslate"><span class="pre">freqItems</span></code></a>(cols[, support])</p></td> |
| <td><p>Finding frequent items for columns, possibly with false positives.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.sql.DataFrameStatFunctions.sampleBy.html#pyspark.sql.DataFrameStatFunctions.sampleBy" title="pyspark.sql.DataFrameStatFunctions.sampleBy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sampleBy</span></code></a>(col, fractions[, seed])</p></td> |
| <td><p>Returns a stratified sample without replacement based on the fraction given on each stratum.</p></td> |
| </tr> |
| </tbody> |
| </table> |
| </dd></dl> |
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