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| <div class="section" id="pyspark-pandas-date-range"> |
| <h1>pyspark.pandas.date_range<a class="headerlink" href="#pyspark-pandas-date-range" title="Permalink to this headline">¶</a></h1> |
| <dl class="py function"> |
| <dt id="pyspark.pandas.date_range"> |
| <code class="sig-prename descclassname">pyspark.pandas.</code><code class="sig-name descname">date_range</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">start</span><span class="p">:</span> <span class="n">Union<span class="p">[</span>str<span class="p">, </span>Any<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">end</span><span class="p">:</span> <span class="n">Union<span class="p">[</span>str<span class="p">, </span>Any<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">periods</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">freq</span><span class="p">:</span> <span class="n">Union[str, pandas._libs.tslibs.offsets.DateOffset, None]</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">tz</span><span class="p">:</span> <span class="n">Union[str, datetime.tzinfo, None]</span> <span class="o">=</span> <span class="default_value">None</span></em>, <em class="sig-param"><span class="n">normalize</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">name</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">closed</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="o">**</span><span class="n">kwargs</span><span class="p">:</span> <span class="n">Any</span></em><span class="sig-paren">)</span> → pyspark.pandas.indexes.datetimes.DatetimeIndex<a class="reference internal" href="../../../_modules/pyspark/pandas/namespace.html#date_range"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.pandas.date_range" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Return a fixed frequency DatetimeIndex.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><dl class="simple"> |
| <dt><strong>start</strong><span class="classifier">str or datetime-like, optional</span></dt><dd><p>Left bound for generating dates.</p> |
| </dd> |
| <dt><strong>end</strong><span class="classifier">str or datetime-like, optional</span></dt><dd><p>Right bound for generating dates.</p> |
| </dd> |
| <dt><strong>periods</strong><span class="classifier">int, optional</span></dt><dd><p>Number of periods to generate.</p> |
| </dd> |
| <dt><strong>freq</strong><span class="classifier">str or DateOffset, default ‘D’</span></dt><dd><p>Frequency strings can have multiples, e.g. ‘5H’.</p> |
| </dd> |
| <dt><strong>tz</strong><span class="classifier">str or tzinfo, optional</span></dt><dd><p>Time zone name for returning localized DatetimeIndex, for example |
| ‘Asia/Hong_Kong’. By default, the resulting DatetimeIndex is |
| timezone-naive.</p> |
| </dd> |
| <dt><strong>normalize</strong><span class="classifier">bool, default False</span></dt><dd><p>Normalize start/end dates to midnight before generating date range.</p> |
| </dd> |
| <dt><strong>name</strong><span class="classifier">str, default None</span></dt><dd><p>Name of the resulting DatetimeIndex.</p> |
| </dd> |
| <dt><strong>closed</strong><span class="classifier">{None, ‘left’, ‘right’}, optional</span></dt><dd><p>Make the interval closed with respect to the given frequency to |
| the ‘left’, ‘right’, or both sides (None, the default).</p> |
| </dd> |
| <dt><strong>**kwargs</strong></dt><dd><p>For compatibility. Has no effect on the result.</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns</dt> |
| <dd class="field-even"><dl class="simple"> |
| <dt><strong>rng</strong><span class="classifier">DatetimeIndex</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.DatetimeIndex.html#pyspark.pandas.DatetimeIndex" title="pyspark.pandas.DatetimeIndex"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DatetimeIndex</span></code></a></dt><dd><p>An immutable container for datetimes.</p> |
| </dd> |
| </dl> |
| </div> |
| <p class="rubric">Notes</p> |
| <p>Of the four parameters <code class="docutils literal notranslate"><span class="pre">start</span></code>, <code class="docutils literal notranslate"><span class="pre">end</span></code>, <code class="docutils literal notranslate"><span class="pre">periods</span></code>, and <code class="docutils literal notranslate"><span class="pre">freq</span></code>, |
| exactly three must be specified. If <code class="docutils literal notranslate"><span class="pre">freq</span></code> is omitted, the resulting |
| <code class="docutils literal notranslate"><span class="pre">DatetimeIndex</span></code> will have <code class="docutils literal notranslate"><span class="pre">periods</span></code> linearly spaced elements between |
| <code class="docutils literal notranslate"><span class="pre">start</span></code> and <code class="docutils literal notranslate"><span class="pre">end</span></code> (closed on both sides).</p> |
| <p>To learn more about the frequency strings, please see <a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases">this link</a>.</p> |
| <p class="rubric">Examples</p> |
| <p><strong>Specifying the values</strong></p> |
| <p>The next four examples generate the same <cite>DatetimeIndex</cite>, but vary |
| the combination of <cite>start</cite>, <cite>end</cite> and <cite>periods</cite>.</p> |
| <p>Specify <cite>start</cite> and <cite>end</cite>, with the default daily frequency.</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">date_range</span><span class="p">(</span><span class="n">start</span><span class="o">=</span><span class="s1">'1/1/2018'</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="s1">'1/08/2018'</span><span class="p">)</span> |
| <span class="go">DatetimeIndex(['2018-01-01', '2018-01-02', '2018-01-03', '2018-01-04',</span> |
| <span class="go"> '2018-01-05', '2018-01-06', '2018-01-07', '2018-01-08'],</span> |
| <span class="go"> dtype='datetime64[ns]', freq=None)</span> |
| </pre></div> |
| </div> |
| <p>Specify <cite>start</cite> and <cite>periods</cite>, the number of periods (days).</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">date_range</span><span class="p">(</span><span class="n">start</span><span class="o">=</span><span class="s1">'1/1/2018'</span><span class="p">,</span> <span class="n">periods</span><span class="o">=</span><span class="mi">8</span><span class="p">)</span> |
| <span class="go">DatetimeIndex(['2018-01-01', '2018-01-02', '2018-01-03', '2018-01-04',</span> |
| <span class="go"> '2018-01-05', '2018-01-06', '2018-01-07', '2018-01-08'],</span> |
| <span class="go"> dtype='datetime64[ns]', freq=None)</span> |
| </pre></div> |
| </div> |
| <p>Specify <cite>end</cite> and <cite>periods</cite>, the number of periods (days).</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">date_range</span><span class="p">(</span><span class="n">end</span><span class="o">=</span><span class="s1">'1/1/2018'</span><span class="p">,</span> <span class="n">periods</span><span class="o">=</span><span class="mi">8</span><span class="p">)</span> |
| <span class="go">DatetimeIndex(['2017-12-25', '2017-12-26', '2017-12-27', '2017-12-28',</span> |
| <span class="go"> '2017-12-29', '2017-12-30', '2017-12-31', '2018-01-01'],</span> |
| <span class="go"> dtype='datetime64[ns]', freq=None)</span> |
| </pre></div> |
| </div> |
| <p>Specify <cite>start</cite>, <cite>end</cite>, and <cite>periods</cite>; the frequency is generated |
| automatically (linearly spaced).</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">date_range</span><span class="p">(</span> |
| <span class="gp">... </span> <span class="n">start</span><span class="o">=</span><span class="s1">'2018-04-24'</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="s1">'2018-04-27'</span><span class="p">,</span> <span class="n">periods</span><span class="o">=</span><span class="mi">3</span> |
| <span class="gp">... </span><span class="p">)</span> |
| <span class="go">DatetimeIndex(['2018-04-24 00:00:00', '2018-04-25 12:00:00',</span> |
| <span class="go"> '2018-04-27 00:00:00'],</span> |
| <span class="go"> dtype='datetime64[ns]', freq=None)</span> |
| </pre></div> |
| </div> |
| <p><strong>Other Parameters</strong></p> |
| <p>Changed the <cite>freq</cite> (frequency) to <code class="docutils literal notranslate"><span class="pre">'M'</span></code> (month end frequency).</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">date_range</span><span class="p">(</span><span class="n">start</span><span class="o">=</span><span class="s1">'1/1/2018'</span><span class="p">,</span> <span class="n">periods</span><span class="o">=</span><span class="mi">5</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="go">DatetimeIndex(['2018-01-31', '2018-02-28', '2018-03-31', '2018-04-30',</span> |
| <span class="go"> '2018-05-31'],</span> |
| <span class="go"> dtype='datetime64[ns]', freq=None)</span> |
| </pre></div> |
| </div> |
| <p>Multiples are allowed</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">date_range</span><span class="p">(</span><span class="n">start</span><span class="o">=</span><span class="s1">'1/1/2018'</span><span class="p">,</span> <span class="n">periods</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">freq</span><span class="o">=</span><span class="s1">'3M'</span><span class="p">)</span> |
| <span class="go">DatetimeIndex(['2018-01-31', '2018-04-30', '2018-07-31', '2018-10-31',</span> |
| <span class="go"> '2019-01-31'],</span> |
| <span class="go"> dtype='datetime64[ns]', freq=None)</span> |
| </pre></div> |
| </div> |
| <p><cite>freq</cite> can also be specified as an Offset object.</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">date_range</span><span class="p">(</span> |
| <span class="gp">... </span> <span class="n">start</span><span class="o">=</span><span class="s1">'1/1/2018'</span><span class="p">,</span> <span class="n">periods</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">freq</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">offsets</span><span class="o">.</span><span class="n">MonthEnd</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span> |
| <span class="gp">... </span><span class="p">)</span> |
| <span class="go">DatetimeIndex(['2018-01-31', '2018-04-30', '2018-07-31', '2018-10-31',</span> |
| <span class="go"> '2019-01-31'],</span> |
| <span class="go"> dtype='datetime64[ns]', freq=None)</span> |
| </pre></div> |
| </div> |
| <p><cite>closed</cite> controls whether to include <cite>start</cite> and <cite>end</cite> that are on the |
| boundary. The default includes boundary points on either end.</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">date_range</span><span class="p">(</span> |
| <span class="gp">... </span> <span class="n">start</span><span class="o">=</span><span class="s1">'2017-01-01'</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="s1">'2017-01-04'</span><span class="p">,</span> <span class="n">closed</span><span class="o">=</span><span class="kc">None</span> |
| <span class="gp">... </span><span class="p">)</span> |
| <span class="go">DatetimeIndex(['2017-01-01', '2017-01-02', '2017-01-03', '2017-01-04'],</span> |
| <span class="go"> dtype='datetime64[ns]', freq=None)</span> |
| </pre></div> |
| </div> |
| <p>Use <code class="docutils literal notranslate"><span class="pre">closed='left'</span></code> to exclude <cite>end</cite> if it falls on the boundary.</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">date_range</span><span class="p">(</span> |
| <span class="gp">... </span> <span class="n">start</span><span class="o">=</span><span class="s1">'2017-01-01'</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="s1">'2017-01-04'</span><span class="p">,</span> <span class="n">closed</span><span class="o">=</span><span class="s1">'left'</span> |
| <span class="gp">... </span><span class="p">)</span> |
| <span class="go">DatetimeIndex(['2017-01-01', '2017-01-02', '2017-01-03'], dtype='datetime64[ns]', freq=None)</span> |
| </pre></div> |
| </div> |
| <p>Use <code class="docutils literal notranslate"><span class="pre">closed='right'</span></code> to exclude <cite>start</cite> if it falls on the boundary.</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">date_range</span><span class="p">(</span> |
| <span class="gp">... </span> <span class="n">start</span><span class="o">=</span><span class="s1">'2017-01-01'</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="s1">'2017-01-04'</span><span class="p">,</span> <span class="n">closed</span><span class="o">=</span><span class="s1">'right'</span> |
| <span class="gp">... </span><span class="p">)</span> |
| <span class="go">DatetimeIndex(['2017-01-02', '2017-01-03', '2017-01-04'], dtype='datetime64[ns]', freq=None)</span> |
| </pre></div> |
| </div> |
| </dd></dl> |
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