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| <section id="pyspark-pandas-series-to-csv"> |
| <h1>pyspark.pandas.Series.to_csv<a class="headerlink" href="#pyspark-pandas-series-to-csv" title="Permalink to this headline">¶</a></h1> |
| <dl class="py method"> |
| <dt id="pyspark.pandas.Series.to_csv"> |
| <code class="sig-prename descclassname">Series.</code><code class="sig-name descname">to_csv</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">path</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">sep</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">na_rep</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">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">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">quotechar</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">date_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">escapechar</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">num_files</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">mode</span><span class="p">:</span> <span class="n">str</span> <span class="o">=</span> <span class="default_value">'w'</span></em>, <em class="sig-param"><span class="n">partition_cols</span><span class="p">:</span> <span class="n">Union[str, List[str], None]</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">index_col</span><span class="p">:</span> <span class="n">Union[str, List[str], None]</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="o">**</span><span class="n">options</span><span class="p">:</span> <span class="n">Any</span></em><span class="sig-paren">)</span> → Optional<span class="p">[</span>str<span class="p">]</span><a class="headerlink" href="#pyspark.pandas.Series.to_csv" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Write object to a comma-separated values (csv) file.</p> |
| <div class="admonition note"> |
| <p class="admonition-title">Note</p> |
| <p>pandas-on-Spark <cite>to_csv</cite> writes files to a path or URI. Unlike pandas’, |
| pandas-on-Spark respects HDFS’s property such as ‘fs.default.name’.</p> |
| </div> |
| <div class="admonition note"> |
| <p class="admonition-title">Note</p> |
| <p>pandas-on-Spark writes CSV files into the directory, <cite>path</cite>, and writes |
| multiple <cite>part-…</cite> files in the directory when <cite>path</cite> is specified. |
| This behaviour was inherited from Apache Spark. The number of files can |
| be controlled by <cite>num_files</cite>.</p> |
| </div> |
| <dl class="field-list"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>path</strong><span class="classifier">str, default None</span></dt><dd><p>File path. If None is provided the result is returned as a string.</p> |
| </dd> |
| <dt><strong>sep</strong><span class="classifier">str, default ‘,’</span></dt><dd><p>String of length 1. Field delimiter for the output file.</p> |
| </dd> |
| <dt><strong>na_rep</strong><span class="classifier">str, default ‘’</span></dt><dd><p>Missing data representation.</p> |
| </dd> |
| <dt><strong>columns</strong><span class="classifier">sequence, optional</span></dt><dd><p>Columns to write.</p> |
| </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>quotechar</strong><span class="classifier">str, default ‘”’</span></dt><dd><p>String of length 1. Character used to quote fields.</p> |
| </dd> |
| <dt><strong>date_format</strong><span class="classifier">str, default None</span></dt><dd><p>Format string for datetime objects.</p> |
| </dd> |
| <dt><strong>escapechar</strong><span class="classifier">str, default None</span></dt><dd><p>String of length 1. Character used to escape <cite>sep</cite> and <cite>quotechar</cite> |
| when appropriate.</p> |
| </dd> |
| <dt><strong>num_files</strong><span class="classifier">the number of files to be written in <cite>path</cite> directory when</span></dt><dd><p>this is a path.</p> |
| </dd> |
| <dt><strong>mode</strong><span class="classifier">str</span></dt><dd><p>Python write mode, default ‘w’.</p> |
| <div class="admonition note"> |
| <p class="admonition-title">Note</p> |
| <p>mode can accept the strings for Spark writing mode. |
| Such as ‘append’, ‘overwrite’, ‘ignore’, ‘error’, ‘errorifexists’.</p> |
| <ul class="simple"> |
| <li><p>‘append’ (equivalent to ‘a’): Append the new data to existing data.</p></li> |
| <li><p>‘overwrite’ (equivalent to ‘w’): Overwrite existing data.</p></li> |
| <li><p>‘ignore’: Silently ignore this operation if data already exists.</p></li> |
| <li><p>‘error’ or ‘errorifexists’: Throw an exception if data already exists.</p></li> |
| </ul> |
| </div> |
| </dd> |
| <dt><strong>partition_cols</strong><span class="classifier">str or list of str, optional, default None</span></dt><dd><p>Names of partitioning columns</p> |
| </dd> |
| <dt><strong>index_col: str or list of str, optional, default: None</strong></dt><dd><p>Column names to be used in Spark to represent pandas-on-Spark’s index. The index name |
| in pandas-on-Spark is ignored. By default, the index is always lost.</p> |
| </dd> |
| <dt><strong>options: keyword arguments for additional options specific to PySpark.</strong></dt><dd><p>This kwargs are specific to PySpark’s CSV options to pass. Check |
| the options in PySpark’s API documentation for spark.write.csv(…). |
| It has higher priority and overwrites all other options. |
| This parameter only works when <cite>path</cite> is specified.</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns</dt> |
| <dd class="field-even"><dl class="simple"> |
| <dt>str or None</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.read_csv.html#pyspark.pandas.read_csv" title="pyspark.pandas.read_csv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">read_csv</span></code></a></dt><dd></dd> |
| <dt><a class="reference internal" href="pyspark.pandas.DataFrame.to_delta.html#pyspark.pandas.DataFrame.to_delta" title="pyspark.pandas.DataFrame.to_delta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.to_delta</span></code></a></dt><dd></dd> |
| <dt><a class="reference internal" href="pyspark.pandas.DataFrame.to_table.html#pyspark.pandas.DataFrame.to_table" title="pyspark.pandas.DataFrame.to_table"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.to_table</span></code></a></dt><dd></dd> |
| <dt><a class="reference internal" href="pyspark.pandas.DataFrame.to_parquet.html#pyspark.pandas.DataFrame.to_parquet" title="pyspark.pandas.DataFrame.to_parquet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.to_parquet</span></code></a></dt><dd></dd> |
| <dt><a class="reference internal" href="pyspark.pandas.DataFrame.to_spark_io.html#pyspark.pandas.DataFrame.to_spark_io" title="pyspark.pandas.DataFrame.to_spark_io"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.to_spark_io</span></code></a></dt><dd></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="nb">dict</span><span class="p">(</span> |
| <span class="gp">... </span> <span class="n">date</span><span class="o">=</span><span class="nb">list</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">date_range</span><span class="p">(</span><span class="s1">'2012-1-1 12:00:00'</span><span class="p">,</span> <span class="n">periods</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">freq</span><span class="o">=</span><span class="s1">'M'</span><span class="p">)),</span> |
| <span class="gp">... </span> <span class="n">country</span><span class="o">=</span><span class="p">[</span><span class="s1">'KR'</span><span class="p">,</span> <span class="s1">'US'</span><span class="p">,</span> <span class="s1">'JP'</span><span class="p">],</span> |
| <span class="gp">... </span> <span class="n">code</span><span class="o">=</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="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'date'</span><span class="p">,</span> <span class="s1">'country'</span><span class="p">,</span> <span class="s1">'code'</span><span class="p">])</span> |
| <span class="gp">>>> </span><span class="n">df</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s2">"date"</span><span class="p">)</span> |
| <span class="go"> date country code</span> |
| <span class="gp">... </span><span class="mi">2012</span><span class="o">-</span><span class="mi">01</span><span class="o">-</span><span class="mi">31</span> <span class="mi">12</span><span class="p">:</span><span class="mi">00</span><span class="p">:</span><span class="mi">00</span> <span class="n">KR</span> <span class="mi">1</span> |
| <span class="gp">... </span><span class="mi">2012</span><span class="o">-</span><span class="mi">02</span><span class="o">-</span><span class="mi">29</span> <span class="mi">12</span><span class="p">:</span><span class="mi">00</span><span class="p">:</span><span class="mi">00</span> <span class="n">US</span> <span class="mi">2</span> |
| <span class="gp">... </span><span class="mi">2012</span><span class="o">-</span><span class="mi">03</span><span class="o">-</span><span class="mi">31</span> <span class="mi">12</span><span class="p">:</span><span class="mi">00</span><span class="p">:</span><span class="mi">00</span> <span class="n">JP</span> <span class="mi">3</span> |
| </pre></div> |
| </div> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></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_csv</span><span class="p">())</span> |
| <span class="go">date,country,code</span> |
| <span class="go">2012-01-31 12:00:00,KR,1</span> |
| <span class="go">2012-02-29 12:00:00,US,2</span> |
| <span class="go">2012-03-31 12:00:00,JP,3</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">cummax</span><span class="p">()</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="n">path</span><span class="o">=</span><span class="sa">r</span><span class="s1">'</span><span class="si">%s</span><span class="s1">/to_csv/foo.csv'</span> <span class="o">%</span> <span class="n">path</span><span class="p">,</span> <span class="n">num_files</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> |
| <span class="gp">>>> </span><span class="n">ps</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span> |
| <span class="gp">... </span> <span class="n">path</span><span class="o">=</span><span class="sa">r</span><span class="s1">'</span><span class="si">%s</span><span class="s1">/to_csv/foo.csv'</span> <span class="o">%</span> <span class="n">path</span> |
| <span class="gp">... </span><span class="p">)</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s2">"date"</span><span class="p">)</span> |
| <span class="go"> date country code</span> |
| <span class="gp">... </span><span class="mi">2012</span><span class="o">-</span><span class="mi">01</span><span class="o">-</span><span class="mi">31</span> <span class="mi">12</span><span class="p">:</span><span class="mi">00</span><span class="p">:</span><span class="mi">00</span> <span class="n">KR</span> <span class="mi">1</span> |
| <span class="gp">... </span><span class="mi">2012</span><span class="o">-</span><span class="mi">02</span><span class="o">-</span><span class="mi">29</span> <span class="mi">12</span><span class="p">:</span><span class="mi">00</span><span class="p">:</span><span class="mi">00</span> <span class="n">US</span> <span class="mi">2</span> |
| <span class="gp">... </span><span class="mi">2012</span><span class="o">-</span><span class="mi">03</span><span class="o">-</span><span class="mi">31</span> <span class="mi">12</span><span class="p">:</span><span class="mi">00</span><span class="p">:</span><span class="mi">00</span> <span class="n">US</span> <span class="mi">3</span> |
| </pre></div> |
| </div> |
| <p>In case of Series,</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></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">date</span><span class="o">.</span><span class="n">to_csv</span><span class="p">())</span> |
| <span class="go">date</span> |
| <span class="go">2012-01-31 12:00:00</span> |
| <span class="go">2012-02-29 12:00:00</span> |
| <span class="go">2012-03-31 12:00:00</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">date</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="n">path</span><span class="o">=</span><span class="sa">r</span><span class="s1">'</span><span class="si">%s</span><span class="s1">/to_csv/foo.csv'</span> <span class="o">%</span> <span class="n">path</span><span class="p">,</span> <span class="n">num_files</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> |
| <span class="gp">>>> </span><span class="n">ps</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span> |
| <span class="gp">... </span> <span class="n">path</span><span class="o">=</span><span class="sa">r</span><span class="s1">'</span><span class="si">%s</span><span class="s1">/to_csv/foo.csv'</span> <span class="o">%</span> <span class="n">path</span> |
| <span class="gp">... </span><span class="p">)</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s2">"date"</span><span class="p">)</span> |
| <span class="go"> date</span> |
| <span class="gp">... </span><span class="mi">2012</span><span class="o">-</span><span class="mi">01</span><span class="o">-</span><span class="mi">31</span> <span class="mi">12</span><span class="p">:</span><span class="mi">00</span><span class="p">:</span><span class="mi">00</span> |
| <span class="gp">... </span><span class="mi">2012</span><span class="o">-</span><span class="mi">02</span><span class="o">-</span><span class="mi">29</span> <span class="mi">12</span><span class="p">:</span><span class="mi">00</span><span class="p">:</span><span class="mi">00</span> |
| <span class="gp">... </span><span class="mi">2012</span><span class="o">-</span><span class="mi">03</span><span class="o">-</span><span class="mi">31</span> <span class="mi">12</span><span class="p">:</span><span class="mi">00</span><span class="p">:</span><span class="mi">00</span> |
| </pre></div> |
| </div> |
| <p>You can preserve the index in the roundtrip as below.</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">set_index</span><span class="p">(</span><span class="s2">"country"</span><span class="p">,</span> <span class="n">append</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> |
| <span class="gp">>>> </span><span class="n">df</span><span class="o">.</span><span class="n">date</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span> |
| <span class="gp">... </span> <span class="n">path</span><span class="o">=</span><span class="sa">r</span><span class="s1">'</span><span class="si">%s</span><span class="s1">/to_csv/bar.csv'</span> <span class="o">%</span> <span class="n">path</span><span class="p">,</span> |
| <span class="gp">... </span> <span class="n">num_files</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> |
| <span class="gp">... </span> <span class="n">index_col</span><span class="o">=</span><span class="p">[</span><span class="s2">"index1"</span><span class="p">,</span> <span class="s2">"index2"</span><span class="p">])</span> |
| <span class="gp">>>> </span><span class="n">ps</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span> |
| <span class="gp">... </span> <span class="n">path</span><span class="o">=</span><span class="sa">r</span><span class="s1">'</span><span class="si">%s</span><span class="s1">/to_csv/bar.csv'</span> <span class="o">%</span> <span class="n">path</span><span class="p">,</span> <span class="n">index_col</span><span class="o">=</span><span class="p">[</span><span class="s2">"index1"</span><span class="p">,</span> <span class="s2">"index2"</span><span class="p">]</span> |
| <span class="gp">... </span><span class="p">)</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s2">"date"</span><span class="p">)</span> |
| <span class="go"> date</span> |
| <span class="go">index1 index2</span> |
| <span class="gp">... </span> <span class="o">...</span> <span class="mi">2012</span><span class="o">-</span><span class="mi">01</span><span class="o">-</span><span class="mi">31</span> <span class="mi">12</span><span class="p">:</span><span class="mi">00</span><span class="p">:</span><span class="mi">00</span> |
| <span class="gp">... </span> <span class="o">...</span> <span class="mi">2012</span><span class="o">-</span><span class="mi">02</span><span class="o">-</span><span class="mi">29</span> <span class="mi">12</span><span class="p">:</span><span class="mi">00</span><span class="p">:</span><span class="mi">00</span> |
| <span class="gp">... </span> <span class="o">...</span> <span class="mi">2012</span><span class="o">-</span><span class="mi">03</span><span class="o">-</span><span class="mi">31</span> <span class="mi">12</span><span class="p">:</span><span class="mi">00</span><span class="p">:</span><span class="mi">00</span> |
| </pre></div> |
| </div> |
| </dd></dl> |
| |
| </section> |
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