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| <div class="section" id="pyspark-pandas-index-shift"> |
| <h1>pyspark.pandas.Index.shift<a class="headerlink" href="#pyspark-pandas-index-shift" title="Permalink to this headline">¶</a></h1> |
| <dl class="py method"> |
| <dt id="pyspark.pandas.Index.shift"> |
| <code class="sig-prename descclassname">Index.</code><code class="sig-name descname">shift</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">periods</span><span class="p">:</span> <span class="n">int</span> <span class="o">=</span> <span class="default_value">1</span></em>, <em class="sig-param"><span class="n">fill_value</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Any<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em><span class="sig-paren">)</span> → IndexOpsLike<a class="headerlink" href="#pyspark.pandas.Index.shift" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Shift Series/Index by desired number of periods.</p> |
| <div class="admonition note"> |
| <p class="admonition-title">Note</p> |
| <p>the current implementation of shift uses Spark’s Window without |
| specifying partition specification. This leads to move all data into |
| single partition in single machine and could cause serious |
| performance degradation. Avoid this method against very large dataset.</p> |
| </div> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><dl class="simple"> |
| <dt><strong>periods</strong><span class="classifier">int</span></dt><dd><p>Number of periods to shift. Can be positive or negative.</p> |
| </dd> |
| <dt><strong>fill_value</strong><span class="classifier">object, optional</span></dt><dd><p>The scalar value to use for newly introduced missing values. |
| The default depends on the dtype of self. For numeric data, np.nan is used.</p> |
| </dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns</dt> |
| <dd class="field-even"><dl class="simple"> |
| <dt>Copy of input Series/Index, shifted.</dt><dd></dd> |
| </dl> |
| </dd> |
| </dl> |
| <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">'Col1'</span><span class="p">:</span> <span class="p">[</span><span class="mi">10</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">30</span><span class="p">,</span> <span class="mi">45</span><span class="p">],</span> |
| <span class="gp">... </span> <span class="s1">'Col2'</span><span class="p">:</span> <span class="p">[</span><span class="mi">13</span><span class="p">,</span> <span class="mi">23</span><span class="p">,</span> <span class="mi">18</span><span class="p">,</span> <span class="mi">33</span><span class="p">,</span> <span class="mi">48</span><span class="p">],</span> |
| <span class="gp">... </span> <span class="s1">'Col3'</span><span class="p">:</span> <span class="p">[</span><span class="mi">17</span><span class="p">,</span> <span class="mi">27</span><span class="p">,</span> <span class="mi">22</span><span class="p">,</span> <span class="mi">37</span><span class="p">,</span> <span class="mi">52</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">'Col1'</span><span class="p">,</span> <span class="s1">'Col2'</span><span class="p">,</span> <span class="s1">'Col3'</span><span class="p">])</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">Col1</span><span class="o">.</span><span class="n">shift</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="go">0 NaN</span> |
| <span class="go">1 NaN</span> |
| <span class="go">2 NaN</span> |
| <span class="go">3 10.0</span> |
| <span class="go">4 20.0</span> |
| <span class="go">Name: Col1, dtype: float64</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">Col2</span><span class="o">.</span><span class="n">shift</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">fill_value</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> |
| <span class="go">0 0</span> |
| <span class="go">1 0</span> |
| <span class="go">2 0</span> |
| <span class="go">3 13</span> |
| <span class="go">4 23</span> |
| <span class="go">Name: Col2, 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">index</span><span class="o">.</span><span class="n">shift</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">fill_value</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> |
| <span class="go">Int64Index([0, 0, 0, 0, 1], dtype='int64')</span> |
| </pre></div> |
| </div> |
| </dd></dl> |
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