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| <div class="section" id="pyspark-pandas-dataframe-count"> |
| <h1>pyspark.pandas.DataFrame.count<a class="headerlink" href="#pyspark-pandas-dataframe-count" title="Permalink to this headline">¶</a></h1> |
| <dl class="py method"> |
| <dt id="pyspark.pandas.DataFrame.count"> |
| <code class="sig-prename descclassname">DataFrame.</code><code class="sig-name descname">count</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">axis</span><span class="p">:</span> <span class="n">Union[int, str, None]</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">numeric_only</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[int, float, bool, str, bytes, decimal.Decimal, datetime.date, datetime.datetime, None, Series]<a class="headerlink" href="#pyspark.pandas.DataFrame.count" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Count non-NA cells for each column.</p> |
| <p>The values <cite>None</cite>, <cite>NaN</cite> are considered NA.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><dl class="simple"> |
| <dt><strong>axis</strong><span class="classifier">{0 or ‘index’, 1 or ‘columns’}, default 0</span></dt><dd><p>If 0 or ‘index’ counts are generated for each column. If 1 or ‘columns’ counts are |
| generated for each row.</p> |
| </dd> |
| <dt><strong>numeric_only</strong><span class="classifier">bool, default False</span></dt><dd><p>If True, include only float, int, boolean columns. This parameter is mainly for |
| pandas compatibility.</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns</dt> |
| <dd class="field-even"><dl class="simple"> |
| <dt><strong>max</strong><span class="classifier">scalar for a Series, and a Series for a DataFrame.</span></dt><dd></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.DataFrame.shape.html#pyspark.pandas.DataFrame.shape" title="pyspark.pandas.DataFrame.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.shape</span></code></a></dt><dd><p>Number of DataFrame rows and columns (including NA elements).</p> |
| </dd> |
| <dt><a class="reference internal" href="pyspark.pandas.DataFrame.isna.html#pyspark.pandas.DataFrame.isna" title="pyspark.pandas.DataFrame.isna"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.isna</span></code></a></dt><dd><p>Boolean same-sized DataFrame showing places of NA elements.</p> |
| </dd> |
| </dl> |
| </div> |
| <p class="rubric">Examples</p> |
| <p>Constructing DataFrame from a dictionary:</p> |
| <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">ps</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s2">"Person"</span><span class="p">:</span> |
| <span class="gp">... </span> <span class="p">[</span><span class="s2">"John"</span><span class="p">,</span> <span class="s2">"Myla"</span><span class="p">,</span> <span class="s2">"Lewis"</span><span class="p">,</span> <span class="s2">"John"</span><span class="p">,</span> <span class="s2">"Myla"</span><span class="p">],</span> |
| <span class="gp">... </span> <span class="s2">"Age"</span><span class="p">:</span> <span class="p">[</span><span class="mf">24.</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span> <span class="mf">21.</span><span class="p">,</span> <span class="mi">33</span><span class="p">,</span> <span class="mi">26</span><span class="p">],</span> |
| <span class="gp">... </span> <span class="s2">"Single"</span><span class="p">:</span> <span class="p">[</span><span class="kc">False</span><span class="p">,</span> <span class="kc">True</span><span class="p">,</span> <span class="kc">True</span><span class="p">,</span> <span class="kc">True</span><span class="p">,</span> <span class="kc">False</span><span class="p">]},</span> |
| <span class="gp">... </span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s2">"Person"</span><span class="p">,</span> <span class="s2">"Age"</span><span class="p">,</span> <span class="s2">"Single"</span><span class="p">])</span> |
| <span class="gp">>>> </span><span class="n">df</span> |
| <span class="go"> Person Age Single</span> |
| <span class="go">0 John 24.0 False</span> |
| <span class="go">1 Myla NaN True</span> |
| <span class="go">2 Lewis 21.0 True</span> |
| <span class="go">3 John 33.0 True</span> |
| <span class="go">4 Myla 26.0 False</span> |
| </pre></div> |
| </div> |
| <p>Notice the uncounted NA values:</p> |
| <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">count</span><span class="p">()</span> |
| <span class="go">Person 5</span> |
| <span class="go">Age 4</span> |
| <span class="go">Single 5</span> |
| <span class="go">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">count</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">0 3</span> |
| <span class="go">1 2</span> |
| <span class="go">2 3</span> |
| <span class="go">3 3</span> |
| <span class="go">4 3</span> |
| <span class="go">dtype: int64</span> |
| </pre></div> |
| </div> |
| <p>On a Series:</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">df</span><span class="p">[</span><span class="s1">'Person'</span><span class="p">]</span><span class="o">.</span><span class="n">count</span><span class="p">()</span> |
| <span class="go">5</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="p">[</span><span class="s1">'Age'</span><span class="p">]</span><span class="o">.</span><span class="n">count</span><span class="p">()</span> |
| <span class="go">4</span> |
| </pre></div> |
| </div> |
| </dd></dl> |
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