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| <div class="section" id="pyspark-pandas-index-spark-transform"> |
| <h1>pyspark.pandas.Index.spark.transform<a class="headerlink" href="#pyspark-pandas-index-spark-transform" title="Permalink to this headline">¶</a></h1> |
| <dl class="py method"> |
| <dt id="pyspark.pandas.Index.spark.transform"> |
| <code class="sig-prename descclassname">spark.</code><code class="sig-name descname">transform</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">func</span><span class="p">:</span> <span class="n">Callable<span class="p">[</span><span class="p">[</span>pyspark.sql.column.Column<span class="p">]</span><span class="p">, </span>pyspark.sql.column.Column<span class="p">]</span></span></em><span class="sig-paren">)</span> → IndexOpsLike<a class="headerlink" href="#pyspark.pandas.Index.spark.transform" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Applies a function that takes and returns a Spark column. It allows natively |
| applying a Spark function and column APIs with the Spark column internally used |
| in Series or Index. The output length of the Spark column should be the same as input’s.</p> |
| <div class="admonition note"> |
| <p class="admonition-title">Note</p> |
| <p>It requires to have the same input and output length; therefore, |
| the aggregate Spark functions such as count does not work.</p> |
| </div> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><dl class="simple"> |
| <dt><strong>func</strong><span class="classifier">function</span></dt><dd><p>Function to use for transforming the data by using Spark columns.</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns</dt> |
| <dd class="field-even"><dl class="simple"> |
| <dt>Series or Index</dt><dd></dd> |
| </dl> |
| </dd> |
| <dt class="field-odd">Raises</dt> |
| <dd class="field-odd"><dl class="simple"> |
| <dt><strong>ValueError</strong><span class="classifier">If the output from the function is not a Spark column.</span></dt><dd></dd> |
| </dl> |
| </dd> |
| </dl> |
| <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">pyspark.sql.functions</span> <span class="kn">import</span> <span class="n">log</span> |
| <span class="gp">>>> </span><span class="n">df</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s2">"a"</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="s2">"b"</span><span class="p">:</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="mi">6</span><span class="p">]},</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s2">"a"</span><span class="p">,</span> <span class="s2">"b"</span><span class="p">])</span> |
| <span class="gp">>>> </span><span class="n">df</span> |
| <span class="go"> a b</span> |
| <span class="go">0 1 4</span> |
| <span class="go">1 2 5</span> |
| <span class="go">2 3 6</span> |
| </pre></div> |
| </div> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">df</span><span class="o">.</span><span class="n">a</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="k">lambda</span> <span class="n">c</span><span class="p">:</span> <span class="n">log</span><span class="p">(</span><span class="n">c</span><span class="p">))</span> |
| <span class="go">0 0.000000</span> |
| <span class="go">1 0.693147</span> |
| <span class="go">2 1.098612</span> |
| <span class="go">Name: a, dtype: float64</span> |
| </pre></div> |
| </div> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">df</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="k">lambda</span> <span class="n">c</span><span class="p">:</span> <span class="n">c</span> <span class="o">+</span> <span class="mi">10</span><span class="p">)</span> |
| <span class="go">Int64Index([10, 11, 12], dtype='int64')</span> |
| </pre></div> |
| </div> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">df</span><span class="o">.</span><span class="n">a</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="k">lambda</span> <span class="n">c</span><span class="p">:</span> <span class="n">c</span> <span class="o">+</span> <span class="n">df</span><span class="o">.</span><span class="n">b</span><span class="o">.</span><span class="n">spark</span><span class="o">.</span><span class="n">column</span><span class="p">)</span> |
| <span class="go">0 5</span> |
| <span class="go">1 7</span> |
| <span class="go">2 9</span> |
| <span class="go">Name: a, dtype: int64</span> |
| </pre></div> |
| </div> |
| </dd></dl> |
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