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<div class="section" id="pyspark-sql-dataframenafunctions-fill">
<h1>pyspark.sql.DataFrameNaFunctions.fill<a class="headerlink" href="#pyspark-sql-dataframenafunctions-fill" title="Permalink to this headline"></a></h1>
<dl class="py method">
<dt id="pyspark.sql.DataFrameNaFunctions.fill">
<code class="sig-prename descclassname">DataFrameNaFunctions.</code><code class="sig-name descname">fill</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">value</span><span class="p">:</span> <span class="n">Union<span class="p">[</span>LiteralType<span class="p">, </span>Dict<span class="p">[</span>str<span class="p">, </span>LiteralType<span class="p">]</span><span class="p">]</span></span></em>, <em class="sig-param"><span class="n">subset</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>List<span class="p">[</span>str<span class="p">]</span><span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em><span class="sig-paren">)</span> &#x2192; pyspark.sql.dataframe.DataFrame<a class="reference internal" href="../../../_modules/pyspark/sql/dataframe.html#DataFrameNaFunctions.fill"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.sql.DataFrameNaFunctions.fill" title="Permalink to this definition"></a></dt>
<dd><p>Replace null values, alias for <code class="docutils literal notranslate"><span class="pre">na.fill()</span></code>.
<a class="reference internal" href="pyspark.sql.DataFrame.fillna.html#pyspark.sql.DataFrame.fillna" title="pyspark.sql.DataFrame.fillna"><code class="xref py py-func docutils literal notranslate"><span class="pre">DataFrame.fillna()</span></code></a> and <a class="reference internal" href="#pyspark.sql.DataFrameNaFunctions.fill" title="pyspark.sql.DataFrameNaFunctions.fill"><code class="xref py py-func docutils literal notranslate"><span class="pre">DataFrameNaFunctions.fill()</span></code></a> are aliases of each other.</p>
<div class="versionadded">
<p><span class="versionmodified added">New in version 1.3.1.</span></p>
</div>
<div class="versionchanged">
<p><span class="versionmodified changed">Changed in version 3.4.0: </span>Supports Spark Connect.</p>
</div>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><dl class="simple">
<dt><strong>value</strong><span class="classifier">int, float, string, bool or dict</span></dt><dd><p>Value to replace null values with.
If the value is a dict, then <cite>subset</cite> is ignored and <cite>value</cite> must be a mapping
from column name (string) to replacement value. The replacement value must be
an int, float, boolean, or string.</p>
</dd>
<dt><strong>subset</strong><span class="classifier">str, tuple or list, optional</span></dt><dd><p>optional list of column names to consider.
Columns specified in subset that do not have matching data types are ignored.
For example, if <cite>value</cite> is a string, and subset contains a non-string column,
then the non-string column is simply ignored.</p>
</dd>
</dl>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><dl class="simple">
<dt><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></dt><dd><p>DataFrame with replaced null values.</p>
</dd>
</dl>
</dd>
</dl>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">spark</span><span class="o">.</span><span class="n">createDataFrame</span><span class="p">([</span>
<span class="gp">... </span> <span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mf">80.5</span><span class="p">,</span> <span class="s2">&quot;Alice&quot;</span><span class="p">,</span> <span class="kc">None</span><span class="p">),</span>
<span class="gp">... </span> <span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="s2">&quot;Bob&quot;</span><span class="p">,</span> <span class="kc">None</span><span class="p">),</span>
<span class="gp">... </span> <span class="p">(</span><span class="kc">None</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="s2">&quot;Tom&quot;</span><span class="p">,</span> <span class="kc">None</span><span class="p">),</span>
<span class="gp">... </span> <span class="p">(</span><span class="kc">None</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="kc">True</span><span class="p">)],</span>
<span class="gp">... </span> <span class="n">schema</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;age&quot;</span><span class="p">,</span> <span class="s2">&quot;height&quot;</span><span class="p">,</span> <span class="s2">&quot;name&quot;</span><span class="p">,</span> <span class="s2">&quot;bool&quot;</span><span class="p">])</span>
</pre></div>
</div>
<p>Fill all null values with 50 for numeric columns.</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">df</span><span class="o">.</span><span class="n">na</span><span class="o">.</span><span class="n">fill</span><span class="p">(</span><span class="mi">50</span><span class="p">)</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
<span class="go">+---+------+-----+----+</span>
<span class="go">|age|height| name|bool|</span>
<span class="go">+---+------+-----+----+</span>
<span class="go">| 10| 80.5|Alice|null|</span>
<span class="go">| 5| 50.0| Bob|null|</span>
<span class="go">| 50| 50.0| Tom|null|</span>
<span class="go">| 50| 50.0| null|true|</span>
<span class="go">+---+------+-----+----+</span>
</pre></div>
</div>
<p>Fill all null values with <code class="docutils literal notranslate"><span class="pre">False</span></code> for boolean columns.</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">df</span><span class="o">.</span><span class="n">na</span><span class="o">.</span><span class="n">fill</span><span class="p">(</span><span class="kc">False</span><span class="p">)</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
<span class="go">+----+------+-----+-----+</span>
<span class="go">| age|height| name| bool|</span>
<span class="go">+----+------+-----+-----+</span>
<span class="go">| 10| 80.5|Alice|false|</span>
<span class="go">| 5| null| Bob|false|</span>
<span class="go">|null| null| Tom|false|</span>
<span class="go">|null| null| null| true|</span>
<span class="go">+----+------+-----+-----+</span>
</pre></div>
</div>
<p>Fill all null values with to 50 and “unknown” for ‘age’ and ‘name’ column respectively.</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">df</span><span class="o">.</span><span class="n">na</span><span class="o">.</span><span class="n">fill</span><span class="p">({</span><span class="s1">&#39;age&#39;</span><span class="p">:</span> <span class="mi">50</span><span class="p">,</span> <span class="s1">&#39;name&#39;</span><span class="p">:</span> <span class="s1">&#39;unknown&#39;</span><span class="p">})</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
<span class="go">+---+------+-------+----+</span>
<span class="go">|age|height| name|bool|</span>
<span class="go">+---+------+-------+----+</span>
<span class="go">| 10| 80.5| Alice|null|</span>
<span class="go">| 5| null| Bob|null|</span>
<span class="go">| 50| null| Tom|null|</span>
<span class="go">| 50| null|unknown|true|</span>
<span class="go">+---+------+-------+----+</span>
</pre></div>
</div>
</dd></dl>
</div>
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