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| <div class="section" id="pyspark-pandas-series-to-latex"> |
| <h1>pyspark.pandas.Series.to_latex<a class="headerlink" href="#pyspark-pandas-series-to-latex" title="Permalink to this headline">¶</a></h1> |
| <dl class="py method"> |
| <dt id="pyspark.pandas.Series.to_latex"> |
| <code class="sig-prename descclassname">Series.</code><code class="sig-name descname">to_latex</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">buf</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>IO<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>, <em class="sig-param"><span class="n">columns</span><span class="p">:</span> <span class="n">Optional[List[Union[Any, Tuple[Any, …]]]]</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">col_space</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>int<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">header</span><span class="p">:</span> <span class="n">bool</span> <span class="o">=</span> <span class="default_value">True</span></em>, <em class="sig-param"><span class="n">index</span><span class="p">:</span> <span class="n">bool</span> <span class="o">=</span> <span class="default_value">True</span></em>, <em class="sig-param"><span class="n">na_rep</span><span class="p">:</span> <span class="n">str</span> <span class="o">=</span> <span class="default_value">'NaN'</span></em>, <em class="sig-param"><span class="n">formatters</span><span class="p">:</span> <span class="n">Union[List[Callable[[Any], str]], Dict[Union[Any, Tuple[Any, …]], Callable[[Any], str]], None]</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">float_format</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Callable<span class="p">[</span><span class="p">[</span>float<span class="p">]</span><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>, <em class="sig-param"><span class="n">sparsify</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>bool<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">index_names</span><span class="p">:</span> <span class="n">bool</span> <span class="o">=</span> <span class="default_value">True</span></em>, <em class="sig-param"><span class="n">bold_rows</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">column_format</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>str<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">longtable</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>bool<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">escape</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>bool<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">encoding</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>str<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">decimal</span><span class="p">:</span> <span class="n">str</span> <span class="o">=</span> <span class="default_value">'.'</span></em>, <em class="sig-param"><span class="n">multicolumn</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>bool<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">multicolumn_format</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>str<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">multirow</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>bool<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em><span class="sig-paren">)</span> → Optional<span class="p">[</span>str<span class="p">]</span><a class="reference internal" href="../../../_modules/pyspark/pandas/series.html#Series.to_latex"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.pandas.Series.to_latex" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Render an object to a LaTeX tabular environment table.</p> |
| <p>Render an object to a tabular environment table. You can splice this into a LaTeX |
| document. Requires usepackage{booktabs}.</p> |
| <div class="admonition note"> |
| <p class="admonition-title">Note</p> |
| <p>This method should only be used if the resulting pandas object is expected |
| to be small, as all the data is loaded into the driver’s memory. If the input |
| is large, consider alternative formats.</p> |
| </div> |
| <dl class="field-list"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>buf</strong><span class="classifier">file descriptor or None</span></dt><dd><p>Buffer to write to. If None, the output is returned as a string.</p> |
| </dd> |
| <dt><strong>columns</strong><span class="classifier">list of label, optional</span></dt><dd><p>The subset of columns to write. Writes all columns by default.</p> |
| </dd> |
| <dt><strong>col_space</strong><span class="classifier">int, optional</span></dt><dd><p>The minimum width of each column.</p> |
| <div class="deprecated"> |
| <p><span class="versionmodified deprecated">Deprecated since version 3.4.0.</span></p> |
| </div> |
| </dd> |
| <dt><strong>header</strong><span class="classifier">bool or list of str, default True</span></dt><dd><p>Write out the column names. If a list of strings is given, it is assumed to be aliases |
| for the column names.</p> |
| </dd> |
| <dt><strong>index</strong><span class="classifier">bool, default True</span></dt><dd><p>Write row names (index).</p> |
| </dd> |
| <dt><strong>na_rep</strong><span class="classifier">str, default ‘NaN’</span></dt><dd><p>Missing data representation.</p> |
| </dd> |
| <dt><strong>formatters</strong><span class="classifier">list of functions or dict of {str: function}, optional</span></dt><dd><p>Formatter functions to apply to columns’ elements by position or name. The result of |
| each function must be a Unicode string. List must be of length equal to the number of |
| columns.</p> |
| </dd> |
| <dt><strong>float_format</strong><span class="classifier">str, optional</span></dt><dd><p>Format string for floating point numbers.</p> |
| </dd> |
| <dt><strong>sparsify</strong><span class="classifier">bool, optional</span></dt><dd><p>Set to False for a DataFrame with a hierarchical index to print every multiindex key at |
| each row. By default the value will be read from the config module.</p> |
| </dd> |
| <dt><strong>index_names</strong><span class="classifier">bool, default True</span></dt><dd><p>Prints the names of the indexes.</p> |
| </dd> |
| <dt><strong>bold_rows</strong><span class="classifier">bool, default False</span></dt><dd><p>Make the row labels bold in the output.</p> |
| </dd> |
| <dt><strong>column_format</strong><span class="classifier">str, optional</span></dt><dd><p>The columns format as specified in LaTeX table format e.g. ‘rcl’ for 3 columns. By |
| default, ‘l’ will be used for all columns except columns of numbers, which default |
| to ‘r’.</p> |
| </dd> |
| <dt><strong>longtable</strong><span class="classifier">bool, optional</span></dt><dd><p>By default the value will be read from the pandas config module. Use a longtable |
| environment instead of tabular. Requires adding a usepackage{longtable} to your LaTeX |
| preamble.</p> |
| </dd> |
| <dt><strong>escape</strong><span class="classifier">bool, optional</span></dt><dd><p>By default the value will be read from the pandas config module. When set to False |
| prevents from escaping latex special characters in column names.</p> |
| </dd> |
| <dt><strong>encoding</strong><span class="classifier">str, optional</span></dt><dd><p>A string representing the encoding to use in the output file, defaults to ‘ascii’ on |
| Python 2 and ‘utf-8’ on Python 3.</p> |
| </dd> |
| <dt><strong>decimal</strong><span class="classifier">str, default ‘.’</span></dt><dd><p>Character recognized as decimal separator, e.g. ‘,’ in Europe.</p> |
| </dd> |
| <dt><strong>multicolumn</strong><span class="classifier">bool, default True</span></dt><dd><p>Use multicolumn to enhance MultiIndex columns. The default will be read from the config |
| module.</p> |
| </dd> |
| <dt><strong>multicolumn_format</strong><span class="classifier">str, default ‘l’</span></dt><dd><p>The alignment for multicolumns, similar to column_format The default will be read from |
| the config module.</p> |
| </dd> |
| <dt><strong>multirow</strong><span class="classifier">bool, default False</span></dt><dd><p>Use multirow to enhance MultiIndex rows. Requires adding a usepackage{multirow} to your |
| LaTeX preamble. Will print centered labels (instead of top-aligned) across the contained |
| rows, separating groups via clines. The default will be read from the pandas config |
| module.</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns</dt> |
| <dd class="field-even"><dl class="simple"> |
| <dt>str or None</dt><dd><p>If buf is None, returns the resulting LateX format as a string. Otherwise returns None.</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.DataFrame.to_string.html#pyspark.pandas.DataFrame.to_string" title="pyspark.pandas.DataFrame.to_string"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.to_string</span></code></a></dt><dd><p>Render a DataFrame to a console-friendly tabular output.</p> |
| </dd> |
| <dt><a class="reference internal" href="pyspark.pandas.DataFrame.to_html.html#pyspark.pandas.DataFrame.to_html" title="pyspark.pandas.DataFrame.to_html"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.to_html</span></code></a></dt><dd><p>Render a DataFrame as an HTML table.</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="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="s1">'name'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'Raphael'</span><span class="p">,</span> <span class="s1">'Donatello'</span><span class="p">],</span> |
| <span class="gp">... </span> <span class="s1">'mask'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'red'</span><span class="p">,</span> <span class="s1">'purple'</span><span class="p">],</span> |
| <span class="gp">... </span> <span class="s1">'weapon'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'sai'</span><span class="p">,</span> <span class="s1">'bo staff'</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">'name'</span><span class="p">,</span> <span class="s1">'mask'</span><span class="p">,</span> <span class="s1">'weapon'</span><span class="p">])</span> |
| <span class="gp">>>> </span><span class="nb">print</span><span class="p">(</span><span class="n">df</span><span class="o">.</span><span class="n">to_latex</span><span class="p">(</span><span class="n">index</span><span class="o">=</span><span class="kc">False</span><span class="p">))</span> |
| <span class="go">\begin{tabular}{lll}</span> |
| <span class="go">\toprule</span> |
| <span class="go"> name & mask & weapon \\</span> |
| <span class="go">\midrule</span> |
| <span class="go"> Raphael & red & sai \\</span> |
| <span class="go"> Donatello & purple & bo staff \\</span> |
| <span class="go">\bottomrule</span> |
| <span class="go">\end{tabular}</span> |
| </pre></div> |
| </div> |
| </dd></dl> |
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