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| <div class="section" id="pyspark-pandas-concat"> |
| <h1>pyspark.pandas.concat<a class="headerlink" href="#pyspark-pandas-concat" title="Permalink to this headline">¶</a></h1> |
| <dl class="py function"> |
| <dt id="pyspark.pandas.concat"> |
| <code class="sig-prename descclassname">pyspark.pandas.</code><code class="sig-name descname">concat</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">objs</span><span class="p">:</span> <span class="n">List<span class="p">[</span>Union<span class="p">[</span>pyspark.pandas.frame.DataFrame<span class="p">, </span>pyspark.pandas.series.Series<span class="p">]</span><span class="p">]</span></span></em>, <em class="sig-param"><span class="n">axis</span><span class="p">:</span> <span class="n">Union<span class="p">[</span>int<span class="p">, </span>str<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">0</span></em>, <em class="sig-param"><span class="n">join</span><span class="p">:</span> <span class="n">str</span> <span class="o">=</span> <span class="default_value">'outer'</span></em>, <em class="sig-param"><span class="n">ignore_index</span><span class="p">:</span> <span class="n">bool</span> <span class="o">=</span> <span class="default_value">False</span></em>, <em class="sig-param"><span class="n">sort</span><span class="p">:</span> <span class="n">bool</span> <span class="o">=</span> <span class="default_value">False</span></em><span class="sig-paren">)</span> → Union<span class="p">[</span>pyspark.pandas.series.Series<span class="p">, </span>pyspark.pandas.frame.DataFrame<span class="p">]</span><a class="reference internal" href="../../../_modules/pyspark/pandas/namespace.html#concat"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.pandas.concat" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Concatenate pandas-on-Spark objects along a particular axis with optional set logic |
| along the other axes.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><dl class="simple"> |
| <dt><strong>objs</strong><span class="classifier">a sequence of Series or DataFrame</span></dt><dd><p>Any None objects will be dropped silently unless |
| they are all None in which case a ValueError will be raised</p> |
| </dd> |
| <dt><strong>axis</strong><span class="classifier">{0/’index’, 1/’columns’}, default 0</span></dt><dd><p>The axis to concatenate along.</p> |
| </dd> |
| <dt><strong>join</strong><span class="classifier">{‘inner’, ‘outer’}, default ‘outer’</span></dt><dd><p>How to handle indexes on other axis (or axes).</p> |
| </dd> |
| <dt><strong>ignore_index</strong><span class="classifier">bool, default False</span></dt><dd><p>If True, do not use the index values along the concatenation axis. The |
| resulting axis will be labeled 0, …, n - 1. This is useful if you are |
| concatenating objects where the concatenation axis does not have |
| meaningful indexing information. Note the index values on the other |
| axes are still respected in the join.</p> |
| </dd> |
| <dt><strong>sort</strong><span class="classifier">bool, default False</span></dt><dd><p>Sort non-concatenation axis if it is not already aligned.</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns</dt> |
| <dd class="field-even"><dl class="simple"> |
| <dt>object, type of objs</dt><dd><p>When concatenating all <code class="docutils literal notranslate"><span class="pre">Series</span></code> along the index (axis=0), a |
| <code class="docutils literal notranslate"><span class="pre">Series</span></code> is returned. When <code class="docutils literal notranslate"><span class="pre">objs</span></code> contains at least one |
| <code class="docutils literal notranslate"><span class="pre">DataFrame</span></code>, a <code class="docutils literal notranslate"><span class="pre">DataFrame</span></code> is returned. When concatenating along |
| the columns (axis=1), a <code class="docutils literal notranslate"><span class="pre">DataFrame</span></code> is returned.</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="pyspark.pandas.Series.append.html#pyspark.pandas.Series.append" title="pyspark.pandas.Series.append"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Series.append</span></code></a></dt><dd><p>Concatenate Series.</p> |
| </dd> |
| <dt><a class="reference internal" href="pyspark.pandas.DataFrame.join.html#pyspark.pandas.DataFrame.join" title="pyspark.pandas.DataFrame.join"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.join</span></code></a></dt><dd><p>Join DataFrames using indexes.</p> |
| </dd> |
| <dt><a class="reference internal" href="pyspark.pandas.DataFrame.merge.html#pyspark.pandas.DataFrame.merge" title="pyspark.pandas.DataFrame.merge"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.merge</span></code></a></dt><dd><p>Merge DataFrames by indexes or columns.</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="w"> </span><span class="nn">pyspark.pandas.config</span><span class="w"> </span><span class="kn">import</span> <span class="n">set_option</span><span class="p">,</span> <span class="n">reset_option</span> |
| <span class="gp">>>> </span><span class="n">set_option</span><span class="p">(</span><span class="s2">"compute.ops_on_diff_frames"</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| <p>Combine two <code class="docutils literal notranslate"><span class="pre">Series</span></code>.</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">s1</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="s1">'a'</span><span class="p">,</span> <span class="s1">'b'</span><span class="p">])</span> |
| <span class="gp">>>> </span><span class="n">s2</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="s1">'c'</span><span class="p">,</span> <span class="s1">'d'</span><span class="p">])</span> |
| <span class="gp">>>> </span><span class="n">ps</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">s1</span><span class="p">,</span> <span class="n">s2</span><span class="p">])</span> |
| <span class="go">0 a</span> |
| <span class="go">1 b</span> |
| <span class="go">0 c</span> |
| <span class="go">1 d</span> |
| <span class="go">dtype: object</span> |
| </pre></div> |
| </div> |
| <p>Clear the existing index and reset it in the result |
| by setting the <code class="docutils literal notranslate"><span class="pre">ignore_index</span></code> option to <code class="docutils literal notranslate"><span class="pre">True</span></code>.</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">ps</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">s1</span><span class="p">,</span> <span class="n">s2</span><span class="p">],</span> <span class="n">ignore_index</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> |
| <span class="go">0 a</span> |
| <span class="go">1 b</span> |
| <span class="go">2 c</span> |
| <span class="go">3 d</span> |
| <span class="go">dtype: object</span> |
| </pre></div> |
| </div> |
| <p>Combine two <code class="docutils literal notranslate"><span class="pre">DataFrame</span></code> objects with identical columns.</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">df1</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="s1">'a'</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="p">[</span><span class="s1">'b'</span><span class="p">,</span> <span class="mi">2</span><span class="p">]],</span> |
| <span class="gp">... </span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'letter'</span><span class="p">,</span> <span class="s1">'number'</span><span class="p">])</span> |
| <span class="gp">>>> </span><span class="n">df1</span> |
| <span class="go"> letter number</span> |
| <span class="go">0 a 1</span> |
| <span class="go">1 b 2</span> |
| <span class="gp">>>> </span><span class="n">df2</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="s1">'c'</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="p">[</span><span class="s1">'d'</span><span class="p">,</span> <span class="mi">4</span><span class="p">]],</span> |
| <span class="gp">... </span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'letter'</span><span class="p">,</span> <span class="s1">'number'</span><span class="p">])</span> |
| <span class="gp">>>> </span><span class="n">df2</span> |
| <span class="go"> letter number</span> |
| <span class="go">0 c 3</span> |
| <span class="go">1 d 4</span> |
| </pre></div> |
| </div> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">ps</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">df1</span><span class="p">,</span> <span class="n">df2</span><span class="p">])</span> |
| <span class="go"> letter number</span> |
| <span class="go">0 a 1</span> |
| <span class="go">1 b 2</span> |
| <span class="go">0 c 3</span> |
| <span class="go">1 d 4</span> |
| </pre></div> |
| </div> |
| <p>Combine <code class="docutils literal notranslate"><span class="pre">DataFrame</span></code> and <code class="docutils literal notranslate"><span class="pre">Series</span></code> objects with different columns.</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">ps</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">df2</span><span class="p">,</span> <span class="n">s1</span><span class="p">])</span> |
| <span class="go"> letter number 0</span> |
| <span class="go">0 c 3.0 None</span> |
| <span class="go">1 d 4.0 None</span> |
| <span class="go">0 None NaN a</span> |
| <span class="go">1 None NaN b</span> |
| </pre></div> |
| </div> |
| <p>Combine <code class="docutils literal notranslate"><span class="pre">DataFrame</span></code> objects with overlapping columns |
| and return everything. Columns outside the intersection will |
| be filled with <code class="docutils literal notranslate"><span class="pre">None</span></code> values.</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">df3</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="s1">'c'</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="s1">'cat'</span><span class="p">],</span> <span class="p">[</span><span class="s1">'d'</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="s1">'dog'</span><span class="p">]],</span> |
| <span class="gp">... </span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'letter'</span><span class="p">,</span> <span class="s1">'number'</span><span class="p">,</span> <span class="s1">'animal'</span><span class="p">])</span> |
| <span class="gp">>>> </span><span class="n">df3</span> |
| <span class="go"> letter number animal</span> |
| <span class="go">0 c 3 cat</span> |
| <span class="go">1 d 4 dog</span> |
| </pre></div> |
| </div> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">ps</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">df1</span><span class="p">,</span> <span class="n">df3</span><span class="p">])</span> |
| <span class="go"> letter number animal</span> |
| <span class="go">0 a 1 None</span> |
| <span class="go">1 b 2 None</span> |
| <span class="go">0 c 3 cat</span> |
| <span class="go">1 d 4 dog</span> |
| </pre></div> |
| </div> |
| <p>Sort the columns.</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">ps</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">df1</span><span class="p">,</span> <span class="n">df3</span><span class="p">],</span> <span class="n">sort</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> |
| <span class="go"> animal letter number</span> |
| <span class="go">0 None a 1</span> |
| <span class="go">1 None b 2</span> |
| <span class="go">0 cat c 3</span> |
| <span class="go">1 dog d 4</span> |
| </pre></div> |
| </div> |
| <p>Combine <code class="docutils literal notranslate"><span class="pre">DataFrame</span></code> objects with overlapping columns |
| and return only those that are shared by passing <code class="docutils literal notranslate"><span class="pre">inner</span></code> to |
| the <code class="docutils literal notranslate"><span class="pre">join</span></code> keyword argument.</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">ps</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">df1</span><span class="p">,</span> <span class="n">df3</span><span class="p">],</span> <span class="n">join</span><span class="o">=</span><span class="s2">"inner"</span><span class="p">)</span> |
| <span class="go"> letter number</span> |
| <span class="go">0 a 1</span> |
| <span class="go">1 b 2</span> |
| <span class="go">0 c 3</span> |
| <span class="go">1 d 4</span> |
| </pre></div> |
| </div> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">df4</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="s1">'bird'</span><span class="p">,</span> <span class="s1">'polly'</span><span class="p">],</span> <span class="p">[</span><span class="s1">'monkey'</span><span class="p">,</span> <span class="s1">'george'</span><span class="p">]],</span> |
| <span class="gp">... </span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'animal'</span><span class="p">,</span> <span class="s1">'name'</span><span class="p">])</span> |
| </pre></div> |
| </div> |
| <p>Combine with column axis.</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">ps</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">df1</span><span class="p">,</span> <span class="n">df4</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> |
| <span class="go"> letter number animal name</span> |
| <span class="go">0 a 1 bird polly</span> |
| <span class="go">1 b 2 monkey george</span> |
| </pre></div> |
| </div> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">reset_option</span><span class="p">(</span><span class="s2">"compute.ops_on_diff_frames"</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| </dd></dl> |
| |
| </div> |
| |
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