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| <div class="section" id="pyspark-pandas-series"> |
| <h1>pyspark.pandas.Series<a class="headerlink" href="#pyspark-pandas-series" title="Permalink to this headline">¶</a></h1> |
| <dl class="py class"> |
| <dt id="pyspark.pandas.Series"> |
| <em class="property">class </em><code class="sig-prename descclassname">pyspark.pandas.</code><code class="sig-name descname">Series</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">index</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">dtype</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">name</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">copy</span><span class="o">=</span><span class="default_value">False</span></em>, <em class="sig-param"><span class="n">fastpath</span><span class="o">=</span><span class="default_value">False</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../_modules/pyspark/pandas/series.html#Series"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.pandas.Series" title="Permalink to this definition">¶</a></dt> |
| <dd><p>pandas-on-Spark Series that corresponds to pandas Series logically. This holds Spark Column |
| internally.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Variables</dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>_internal</strong> – an internal immutable Frame to manage metadata.</p></li> |
| <li><p><strong>_psdf</strong> – Parent’s pandas-on-Spark DataFrame</p></li> |
| </ul> |
| </dd> |
| <dt class="field-even">Parameters</dt> |
| <dd class="field-even"><dl class="simple"> |
| <dt><strong>data</strong><span class="classifier">array-like, dict, or scalar value, pandas Series</span></dt><dd><p>Contains data stored in Series |
| Note that if <cite>data</cite> is a pandas Series, other arguments should not be used.</p> |
| </dd> |
| <dt><strong>index</strong><span class="classifier">array-like or Index (1d)</span></dt><dd><p>Values must be hashable and have the same length as <cite>data</cite>. |
| Non-unique index values are allowed. Will default to |
| RangeIndex (0, 1, 2, …, n) if not provided. If both a dict and index |
| sequence is used, the index will override the keys found in the |
| dict.</p> |
| </dd> |
| <dt><strong>dtype</strong><span class="classifier">numpy.dtype or None</span></dt><dd><p>If None, dtype will be inferred</p> |
| </dd> |
| <dt><strong>copy</strong><span class="classifier">boolean, default False</span></dt><dd><p>Copy input data</p> |
| </dd> |
| </dl> |
| </dd> |
| </dl> |
| <p class="rubric">Methods</p> |
| <table class="longtable table autosummary"> |
| <colgroup> |
| <col style="width: 10%" /> |
| <col style="width: 90%" /> |
| </colgroup> |
| <tbody> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.abs.html#pyspark.pandas.Series.abs" title="pyspark.pandas.Series.abs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">abs</span></code></a>()</p></td> |
| <td><p>Return a Series/DataFrame with absolute numeric value of each element.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.add.html#pyspark.pandas.Series.add" title="pyspark.pandas.Series.add"><code class="xref py py-obj docutils literal notranslate"><span class="pre">add</span></code></a>(other[, fill_value])</p></td> |
| <td><p>Return Addition of series and other, element-wise (binary operator <cite>+</cite>).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.add_prefix.html#pyspark.pandas.Series.add_prefix" title="pyspark.pandas.Series.add_prefix"><code class="xref py py-obj docutils literal notranslate"><span class="pre">add_prefix</span></code></a>(prefix)</p></td> |
| <td><p>Prefix labels with string <cite>prefix</cite>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.add_suffix.html#pyspark.pandas.Series.add_suffix" title="pyspark.pandas.Series.add_suffix"><code class="xref py py-obj docutils literal notranslate"><span class="pre">add_suffix</span></code></a>(suffix)</p></td> |
| <td><p>Suffix labels with string suffix.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.agg.html#pyspark.pandas.Series.agg" title="pyspark.pandas.Series.agg"><code class="xref py py-obj docutils literal notranslate"><span class="pre">agg</span></code></a>(func)</p></td> |
| <td><p>Aggregate using one or more operations over the specified axis.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.aggregate.html#pyspark.pandas.Series.aggregate" title="pyspark.pandas.Series.aggregate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">aggregate</span></code></a>(func)</p></td> |
| <td><p>Aggregate using one or more operations over the specified axis.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.align.html#pyspark.pandas.Series.align" title="pyspark.pandas.Series.align"><code class="xref py py-obj docutils literal notranslate"><span class="pre">align</span></code></a>(other[, join, axis, copy])</p></td> |
| <td><p>Align two objects on their axes with the specified join method.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.all.html#pyspark.pandas.Series.all" title="pyspark.pandas.Series.all"><code class="xref py py-obj docutils literal notranslate"><span class="pre">all</span></code></a>([axis, skipna])</p></td> |
| <td><p>Return whether all elements are True.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.any.html#pyspark.pandas.Series.any" title="pyspark.pandas.Series.any"><code class="xref py py-obj docutils literal notranslate"><span class="pre">any</span></code></a>([axis])</p></td> |
| <td><p>Return whether any element is True.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.append.html#pyspark.pandas.Series.append" title="pyspark.pandas.Series.append"><code class="xref py py-obj docutils literal notranslate"><span class="pre">append</span></code></a>(to_append[, ignore_index, …])</p></td> |
| <td><p>Concatenate two or more Series.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.apply.html#pyspark.pandas.Series.apply" title="pyspark.pandas.Series.apply"><code class="xref py py-obj docutils literal notranslate"><span class="pre">apply</span></code></a>(func[, args])</p></td> |
| <td><p>Invoke function on values of Series.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.argmax.html#pyspark.pandas.Series.argmax" title="pyspark.pandas.Series.argmax"><code class="xref py py-obj docutils literal notranslate"><span class="pre">argmax</span></code></a>([axis, skipna])</p></td> |
| <td><p>Return int position of the largest value in the Series.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.argmin.html#pyspark.pandas.Series.argmin" title="pyspark.pandas.Series.argmin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">argmin</span></code></a>([axis, skipna])</p></td> |
| <td><p>Return int position of the smallest value in the Series.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.argsort.html#pyspark.pandas.Series.argsort" title="pyspark.pandas.Series.argsort"><code class="xref py py-obj docutils literal notranslate"><span class="pre">argsort</span></code></a>()</p></td> |
| <td><p>Return the integer indices that would sort the Series values.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.asof.html#pyspark.pandas.Series.asof" title="pyspark.pandas.Series.asof"><code class="xref py py-obj docutils literal notranslate"><span class="pre">asof</span></code></a>(where)</p></td> |
| <td><p>Return the last row(s) without any NaNs before <cite>where</cite>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.astype.html#pyspark.pandas.Series.astype" title="pyspark.pandas.Series.astype"><code class="xref py py-obj docutils literal notranslate"><span class="pre">astype</span></code></a>(dtype)</p></td> |
| <td><p>Cast a pandas-on-Spark object to a specified dtype <code class="docutils literal notranslate"><span class="pre">dtype</span></code>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.at_time.html#pyspark.pandas.Series.at_time" title="pyspark.pandas.Series.at_time"><code class="xref py py-obj docutils literal notranslate"><span class="pre">at_time</span></code></a>(time[, asof, axis])</p></td> |
| <td><p>Select values at particular time of day (example: 9:30AM).</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.autocorr.html#pyspark.pandas.Series.autocorr" title="pyspark.pandas.Series.autocorr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">autocorr</span></code></a>([lag])</p></td> |
| <td><p>Compute the lag-N autocorrelation.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.backfill.html#pyspark.pandas.Series.backfill" title="pyspark.pandas.Series.backfill"><code class="xref py py-obj docutils literal notranslate"><span class="pre">backfill</span></code></a>([axis, inplace, limit])</p></td> |
| <td><p>Synonym for <cite>DataFrame.fillna()</cite> or <cite>Series.fillna()</cite> with <code class="docutils literal notranslate"><span class="pre">method=`bfill`</span></code>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.between.html#pyspark.pandas.Series.between" title="pyspark.pandas.Series.between"><code class="xref py py-obj docutils literal notranslate"><span class="pre">between</span></code></a>(left, right[, inclusive])</p></td> |
| <td><p>Return boolean Series equivalent to left <= series <= right.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.between_time.html#pyspark.pandas.Series.between_time" title="pyspark.pandas.Series.between_time"><code class="xref py py-obj docutils literal notranslate"><span class="pre">between_time</span></code></a>(start_time, end_time[, …])</p></td> |
| <td><p>Select values between particular times of the day (example: 9:00-9:30 AM).</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.bfill.html#pyspark.pandas.Series.bfill" title="pyspark.pandas.Series.bfill"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bfill</span></code></a>([axis, inplace, limit])</p></td> |
| <td><p>Synonym for <cite>DataFrame.fillna()</cite> or <cite>Series.fillna()</cite> with <code class="docutils literal notranslate"><span class="pre">method=`bfill`</span></code>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.bool.html#pyspark.pandas.Series.bool" title="pyspark.pandas.Series.bool"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bool</span></code></a>()</p></td> |
| <td><p>Return the bool of a single element in the current object.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.clip.html#pyspark.pandas.Series.clip" title="pyspark.pandas.Series.clip"><code class="xref py py-obj docutils literal notranslate"><span class="pre">clip</span></code></a>([lower, upper, inplace])</p></td> |
| <td><p>Trim values at input threshold(s).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.combine_first.html#pyspark.pandas.Series.combine_first" title="pyspark.pandas.Series.combine_first"><code class="xref py py-obj docutils literal notranslate"><span class="pre">combine_first</span></code></a>(other)</p></td> |
| <td><p>Combine Series values, choosing the calling Series’s values first.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.compare.html#pyspark.pandas.Series.compare" title="pyspark.pandas.Series.compare"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compare</span></code></a>(other[, keep_shape, keep_equal])</p></td> |
| <td><p>Compare to another Series and show the differences.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.copy.html#pyspark.pandas.Series.copy" title="pyspark.pandas.Series.copy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">copy</span></code></a>([deep])</p></td> |
| <td><p>Make a copy of this object’s indices and data.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.corr.html#pyspark.pandas.Series.corr" title="pyspark.pandas.Series.corr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">corr</span></code></a>(other[, method, min_periods])</p></td> |
| <td><p>Compute correlation with <cite>other</cite> Series, excluding missing values.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.count.html#pyspark.pandas.Series.count" title="pyspark.pandas.Series.count"><code class="xref py py-obj docutils literal notranslate"><span class="pre">count</span></code></a>([axis, numeric_only])</p></td> |
| <td><p>Count non-NA cells for each column.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.cov.html#pyspark.pandas.Series.cov" title="pyspark.pandas.Series.cov"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cov</span></code></a>(other[, min_periods, ddof])</p></td> |
| <td><p>Compute covariance with Series, excluding missing values.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.cummax.html#pyspark.pandas.Series.cummax" title="pyspark.pandas.Series.cummax"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cummax</span></code></a>([skipna])</p></td> |
| <td><p>Return cumulative maximum over a DataFrame or Series axis.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.cummin.html#pyspark.pandas.Series.cummin" title="pyspark.pandas.Series.cummin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cummin</span></code></a>([skipna])</p></td> |
| <td><p>Return cumulative minimum over a DataFrame or Series axis.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.cumprod.html#pyspark.pandas.Series.cumprod" title="pyspark.pandas.Series.cumprod"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cumprod</span></code></a>([skipna])</p></td> |
| <td><p>Return cumulative product over a DataFrame or Series axis.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.cumsum.html#pyspark.pandas.Series.cumsum" title="pyspark.pandas.Series.cumsum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cumsum</span></code></a>([skipna])</p></td> |
| <td><p>Return cumulative sum over a DataFrame or Series axis.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.describe.html#pyspark.pandas.Series.describe" title="pyspark.pandas.Series.describe"><code class="xref py py-obj docutils literal notranslate"><span class="pre">describe</span></code></a>([percentiles])</p></td> |
| <td><p>Generate descriptive statistics that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding <code class="docutils literal notranslate"><span class="pre">NaN</span></code> values.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.diff.html#pyspark.pandas.Series.diff" title="pyspark.pandas.Series.diff"><code class="xref py py-obj docutils literal notranslate"><span class="pre">diff</span></code></a>([periods])</p></td> |
| <td><p>First discrete difference of element.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.div.html#pyspark.pandas.Series.div" title="pyspark.pandas.Series.div"><code class="xref py py-obj docutils literal notranslate"><span class="pre">div</span></code></a>(other)</p></td> |
| <td><p>Return Floating division of series and other, element-wise (binary operator <cite>/</cite>).</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">divide</span></code>(other)</p></td> |
| <td><p>Return Floating division of series and other, element-wise (binary operator <cite>/</cite>).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.divmod.html#pyspark.pandas.Series.divmod" title="pyspark.pandas.Series.divmod"><code class="xref py py-obj docutils literal notranslate"><span class="pre">divmod</span></code></a>(other)</p></td> |
| <td><p>Return Integer division and modulo of series and other, element-wise (binary operator <cite>divmod</cite>).</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.dot.html#pyspark.pandas.Series.dot" title="pyspark.pandas.Series.dot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dot</span></code></a>(other)</p></td> |
| <td><p>Compute the dot product between the Series and the columns of other.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.drop.html#pyspark.pandas.Series.drop" title="pyspark.pandas.Series.drop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">drop</span></code></a>([labels, index, columns, level, inplace])</p></td> |
| <td><p>Return Series with specified index labels removed.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.drop_duplicates.html#pyspark.pandas.Series.drop_duplicates" title="pyspark.pandas.Series.drop_duplicates"><code class="xref py py-obj docutils literal notranslate"><span class="pre">drop_duplicates</span></code></a>([keep, inplace])</p></td> |
| <td><p>Return Series with duplicate values removed.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.droplevel.html#pyspark.pandas.Series.droplevel" title="pyspark.pandas.Series.droplevel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">droplevel</span></code></a>(level)</p></td> |
| <td><p>Return Series with requested index level(s) removed.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.dropna.html#pyspark.pandas.Series.dropna" title="pyspark.pandas.Series.dropna"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dropna</span></code></a>([axis, inplace])</p></td> |
| <td><p>Return a new Series with missing values removed.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.duplicated.html#pyspark.pandas.Series.duplicated" title="pyspark.pandas.Series.duplicated"><code class="xref py py-obj docutils literal notranslate"><span class="pre">duplicated</span></code></a>([keep])</p></td> |
| <td><p>Indicate duplicate Series values.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.eq.html#pyspark.pandas.Series.eq" title="pyspark.pandas.Series.eq"><code class="xref py py-obj docutils literal notranslate"><span class="pre">eq</span></code></a>(other)</p></td> |
| <td><p>Compare if the current value is equal to the other.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.equals.html#pyspark.pandas.Series.equals" title="pyspark.pandas.Series.equals"><code class="xref py py-obj docutils literal notranslate"><span class="pre">equals</span></code></a>(other)</p></td> |
| <td><p>Compare if the current value is equal to the other.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.ewm.html#pyspark.pandas.Series.ewm" title="pyspark.pandas.Series.ewm"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ewm</span></code></a>([com, span, halflife, alpha, …])</p></td> |
| <td><p>Provide exponentially weighted window transformations.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.expanding.html#pyspark.pandas.Series.expanding" title="pyspark.pandas.Series.expanding"><code class="xref py py-obj docutils literal notranslate"><span class="pre">expanding</span></code></a>([min_periods])</p></td> |
| <td><p>Provide expanding transformations.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.explode.html#pyspark.pandas.Series.explode" title="pyspark.pandas.Series.explode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">explode</span></code></a>()</p></td> |
| <td><p>Transform each element of a list-like to a row.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.factorize.html#pyspark.pandas.Series.factorize" title="pyspark.pandas.Series.factorize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">factorize</span></code></a>([sort, na_sentinel])</p></td> |
| <td><p>Encode the object as an enumerated type or categorical variable.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">ffill</span></code>([axis, inplace, limit])</p></td> |
| <td><p>Synonym for <cite>DataFrame.fillna()</cite> or <cite>Series.fillna()</cite> with <code class="docutils literal notranslate"><span class="pre">method=`ffill`</span></code>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.fillna.html#pyspark.pandas.Series.fillna" title="pyspark.pandas.Series.fillna"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fillna</span></code></a>([value, method, axis, inplace, limit])</p></td> |
| <td><p>Fill NA/NaN values.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.filter.html#pyspark.pandas.Series.filter" title="pyspark.pandas.Series.filter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">filter</span></code></a>([items, like, regex, axis])</p></td> |
| <td><p>Subset rows or columns of dataframe according to labels in the specified index.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.first.html#pyspark.pandas.Series.first" title="pyspark.pandas.Series.first"><code class="xref py py-obj docutils literal notranslate"><span class="pre">first</span></code></a>(offset)</p></td> |
| <td><p>Select first periods of time series data based on a date offset.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.first_valid_index.html#pyspark.pandas.Series.first_valid_index" title="pyspark.pandas.Series.first_valid_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">first_valid_index</span></code></a>()</p></td> |
| <td><p>Retrieves the index of the first valid value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.floordiv.html#pyspark.pandas.Series.floordiv" title="pyspark.pandas.Series.floordiv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">floordiv</span></code></a>(other)</p></td> |
| <td><p>Return Integer division of series and other, element-wise (binary operator <cite>//</cite>).</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.ge.html#pyspark.pandas.Series.ge" title="pyspark.pandas.Series.ge"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ge</span></code></a>(other)</p></td> |
| <td><p>Compare if the current value is greater than or equal to the other.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.get.html#pyspark.pandas.Series.get" title="pyspark.pandas.Series.get"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get</span></code></a>(key[, default])</p></td> |
| <td><p>Get item from object for given key (DataFrame column, Panel slice, etc.).</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_dtype_counts</span></code>()</p></td> |
| <td><p>Return counts of unique dtypes in this object.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.groupby.html#pyspark.pandas.Series.groupby" title="pyspark.pandas.Series.groupby"><code class="xref py py-obj docutils literal notranslate"><span class="pre">groupby</span></code></a>(by[, axis, as_index, dropna])</p></td> |
| <td><p>Group DataFrame or Series using one or more columns.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.gt.html#pyspark.pandas.Series.gt" title="pyspark.pandas.Series.gt"><code class="xref py py-obj docutils literal notranslate"><span class="pre">gt</span></code></a>(other)</p></td> |
| <td><p>Compare if the current value is greater than the other.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.head.html#pyspark.pandas.Series.head" title="pyspark.pandas.Series.head"><code class="xref py py-obj docutils literal notranslate"><span class="pre">head</span></code></a>([n])</p></td> |
| <td><p>Return the first n rows.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.hist.html#pyspark.pandas.Series.hist" title="pyspark.pandas.Series.hist"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hist</span></code></a>([bins])</p></td> |
| <td><p>Draw one histogram of the DataFrame’s columns.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.idxmax.html#pyspark.pandas.Series.idxmax" title="pyspark.pandas.Series.idxmax"><code class="xref py py-obj docutils literal notranslate"><span class="pre">idxmax</span></code></a>([skipna])</p></td> |
| <td><p>Return the row label of the maximum value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.idxmin.html#pyspark.pandas.Series.idxmin" title="pyspark.pandas.Series.idxmin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">idxmin</span></code></a>([skipna])</p></td> |
| <td><p>Return the row label of the minimum value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.interpolate.html#pyspark.pandas.Series.interpolate" title="pyspark.pandas.Series.interpolate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">interpolate</span></code></a>([method, limit, …])</p></td> |
| <td><p>Fill NaN values using an interpolation method.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.isin.html#pyspark.pandas.Series.isin" title="pyspark.pandas.Series.isin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isin</span></code></a>(values)</p></td> |
| <td><p>Check whether <cite>values</cite> are contained in Series or Index.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.isna.html#pyspark.pandas.Series.isna" title="pyspark.pandas.Series.isna"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isna</span></code></a>()</p></td> |
| <td><p>Detect existing (non-missing) values.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.isnull.html#pyspark.pandas.Series.isnull" title="pyspark.pandas.Series.isnull"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isnull</span></code></a>()</p></td> |
| <td><p>Detect existing (non-missing) values.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.item.html#pyspark.pandas.Series.item" title="pyspark.pandas.Series.item"><code class="xref py py-obj docutils literal notranslate"><span class="pre">item</span></code></a>()</p></td> |
| <td><p>Return the first element of the underlying data as a Python scalar.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.items.html#pyspark.pandas.Series.items" title="pyspark.pandas.Series.items"><code class="xref py py-obj docutils literal notranslate"><span class="pre">items</span></code></a>()</p></td> |
| <td><p>Lazily iterate over (index, value) tuples.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.iteritems.html#pyspark.pandas.Series.iteritems" title="pyspark.pandas.Series.iteritems"><code class="xref py py-obj docutils literal notranslate"><span class="pre">iteritems</span></code></a>()</p></td> |
| <td><p>This is an alias of <code class="docutils literal notranslate"><span class="pre">items</span></code>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.keys.html#pyspark.pandas.Series.keys" title="pyspark.pandas.Series.keys"><code class="xref py py-obj docutils literal notranslate"><span class="pre">keys</span></code></a>()</p></td> |
| <td><p>Return alias for index.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.kurt.html#pyspark.pandas.Series.kurt" title="pyspark.pandas.Series.kurt"><code class="xref py py-obj docutils literal notranslate"><span class="pre">kurt</span></code></a>([axis, skipna, numeric_only])</p></td> |
| <td><p>Return unbiased kurtosis using Fisher’s definition of kurtosis (kurtosis of normal == 0.0).</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.kurtosis.html#pyspark.pandas.Series.kurtosis" title="pyspark.pandas.Series.kurtosis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">kurtosis</span></code></a>([axis, skipna, numeric_only])</p></td> |
| <td><p>Return unbiased kurtosis using Fisher’s definition of kurtosis (kurtosis of normal == 0.0).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.last.html#pyspark.pandas.Series.last" title="pyspark.pandas.Series.last"><code class="xref py py-obj docutils literal notranslate"><span class="pre">last</span></code></a>(offset)</p></td> |
| <td><p>Select final periods of time series data based on a date offset.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.last_valid_index.html#pyspark.pandas.Series.last_valid_index" title="pyspark.pandas.Series.last_valid_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">last_valid_index</span></code></a>()</p></td> |
| <td><p>Return index for last non-NA/null value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.le.html#pyspark.pandas.Series.le" title="pyspark.pandas.Series.le"><code class="xref py py-obj docutils literal notranslate"><span class="pre">le</span></code></a>(other)</p></td> |
| <td><p>Compare if the current value is less than or equal to the other.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.lt.html#pyspark.pandas.Series.lt" title="pyspark.pandas.Series.lt"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lt</span></code></a>(other)</p></td> |
| <td><p>Compare if the current value is less than the other.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.mad.html#pyspark.pandas.Series.mad" title="pyspark.pandas.Series.mad"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mad</span></code></a>()</p></td> |
| <td><p>Return the mean absolute deviation of values.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.map.html#pyspark.pandas.Series.map" title="pyspark.pandas.Series.map"><code class="xref py py-obj docutils literal notranslate"><span class="pre">map</span></code></a>(arg[, na_action])</p></td> |
| <td><p>Map values of Series according to input correspondence.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.mask.html#pyspark.pandas.Series.mask" title="pyspark.pandas.Series.mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mask</span></code></a>(cond[, other])</p></td> |
| <td><p>Replace values where the condition is True.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.max.html#pyspark.pandas.Series.max" title="pyspark.pandas.Series.max"><code class="xref py py-obj docutils literal notranslate"><span class="pre">max</span></code></a>([axis, skipna, numeric_only])</p></td> |
| <td><p>Return the maximum of the values.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.mean.html#pyspark.pandas.Series.mean" title="pyspark.pandas.Series.mean"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mean</span></code></a>([axis, skipna, numeric_only])</p></td> |
| <td><p>Return the mean of the values.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.median.html#pyspark.pandas.Series.median" title="pyspark.pandas.Series.median"><code class="xref py py-obj docutils literal notranslate"><span class="pre">median</span></code></a>([axis, skipna, numeric_only, accuracy])</p></td> |
| <td><p>Return the median of the values for the requested axis.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.min.html#pyspark.pandas.Series.min" title="pyspark.pandas.Series.min"><code class="xref py py-obj docutils literal notranslate"><span class="pre">min</span></code></a>([axis, skipna, numeric_only])</p></td> |
| <td><p>Return the minimum of the values.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.mod.html#pyspark.pandas.Series.mod" title="pyspark.pandas.Series.mod"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mod</span></code></a>(other)</p></td> |
| <td><p>Return Modulo of series and other, element-wise (binary operator <cite>%</cite>).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.mode.html#pyspark.pandas.Series.mode" title="pyspark.pandas.Series.mode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mode</span></code></a>([dropna])</p></td> |
| <td><p>Return the mode(s) of the dataset.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.mul.html#pyspark.pandas.Series.mul" title="pyspark.pandas.Series.mul"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mul</span></code></a>(other)</p></td> |
| <td><p>Return Multiplication of series and other, element-wise (binary operator <cite>*</cite>).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">multiply</span></code>(other)</p></td> |
| <td><p>Return Multiplication of series and other, element-wise (binary operator <cite>*</cite>).</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.ne.html#pyspark.pandas.Series.ne" title="pyspark.pandas.Series.ne"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ne</span></code></a>(other)</p></td> |
| <td><p>Compare if the current value is not equal to the other.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.nlargest.html#pyspark.pandas.Series.nlargest" title="pyspark.pandas.Series.nlargest"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nlargest</span></code></a>([n])</p></td> |
| <td><p>Return the largest <cite>n</cite> elements.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.notna.html#pyspark.pandas.Series.notna" title="pyspark.pandas.Series.notna"><code class="xref py py-obj docutils literal notranslate"><span class="pre">notna</span></code></a>()</p></td> |
| <td><p>Detect existing (non-missing) values.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.notnull.html#pyspark.pandas.Series.notnull" title="pyspark.pandas.Series.notnull"><code class="xref py py-obj docutils literal notranslate"><span class="pre">notnull</span></code></a>()</p></td> |
| <td><p>Detect existing (non-missing) values.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.nsmallest.html#pyspark.pandas.Series.nsmallest" title="pyspark.pandas.Series.nsmallest"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nsmallest</span></code></a>([n])</p></td> |
| <td><p>Return the smallest <cite>n</cite> elements.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.nunique.html#pyspark.pandas.Series.nunique" title="pyspark.pandas.Series.nunique"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nunique</span></code></a>([dropna, approx, rsd])</p></td> |
| <td><p>Return number of unique elements in the object.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.pad.html#pyspark.pandas.Series.pad" title="pyspark.pandas.Series.pad"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pad</span></code></a>([axis, inplace, limit])</p></td> |
| <td><p>Synonym for <cite>DataFrame.fillna()</cite> or <cite>Series.fillna()</cite> with <code class="docutils literal notranslate"><span class="pre">method=`ffill`</span></code>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.pct_change.html#pyspark.pandas.Series.pct_change" title="pyspark.pandas.Series.pct_change"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pct_change</span></code></a>([periods])</p></td> |
| <td><p>Percentage change between the current and a prior element.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.pipe.html#pyspark.pandas.Series.pipe" title="pyspark.pandas.Series.pipe"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pipe</span></code></a>(func, *args, **kwargs)</p></td> |
| <td><p>Apply func(self, *args, **kwargs).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.pop.html#pyspark.pandas.Series.pop" title="pyspark.pandas.Series.pop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pop</span></code></a>(item)</p></td> |
| <td><p>Return item and drop from series.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.pow.html#pyspark.pandas.Series.pow" title="pyspark.pandas.Series.pow"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pow</span></code></a>(other)</p></td> |
| <td><p>Return Exponential power of series of series and other, element-wise (binary operator <cite>**</cite>).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.prod.html#pyspark.pandas.Series.prod" title="pyspark.pandas.Series.prod"><code class="xref py py-obj docutils literal notranslate"><span class="pre">prod</span></code></a>([axis, skipna, numeric_only, min_count])</p></td> |
| <td><p>Return the product of the values.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.product.html#pyspark.pandas.Series.product" title="pyspark.pandas.Series.product"><code class="xref py py-obj docutils literal notranslate"><span class="pre">product</span></code></a>([axis, skipna, numeric_only, min_count])</p></td> |
| <td><p>Return the product of the values.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.quantile.html#pyspark.pandas.Series.quantile" title="pyspark.pandas.Series.quantile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">quantile</span></code></a>([q, accuracy])</p></td> |
| <td><p>Return value at the given quantile.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.radd.html#pyspark.pandas.Series.radd" title="pyspark.pandas.Series.radd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">radd</span></code></a>(other[, fill_value])</p></td> |
| <td><p>Return Reverse Addition of series and other, element-wise (binary operator <cite>+</cite>).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.rank.html#pyspark.pandas.Series.rank" title="pyspark.pandas.Series.rank"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rank</span></code></a>([method, ascending, numeric_only])</p></td> |
| <td><p>Compute numerical data ranks (1 through n) along axis.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.rdiv.html#pyspark.pandas.Series.rdiv" title="pyspark.pandas.Series.rdiv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rdiv</span></code></a>(other)</p></td> |
| <td><p>Return Reverse Floating division of series and other, element-wise (binary operator <cite>/</cite>).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.rdivmod.html#pyspark.pandas.Series.rdivmod" title="pyspark.pandas.Series.rdivmod"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rdivmod</span></code></a>(other)</p></td> |
| <td><p>Return Integer division and modulo of series and other, element-wise (binary operator <cite>rdivmod</cite>).</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.reindex.html#pyspark.pandas.Series.reindex" title="pyspark.pandas.Series.reindex"><code class="xref py py-obj docutils literal notranslate"><span class="pre">reindex</span></code></a>([index, fill_value])</p></td> |
| <td><p>Conform Series to new index with optional filling logic, placing NA/NaN in locations having no value in the previous index.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.reindex_like.html#pyspark.pandas.Series.reindex_like" title="pyspark.pandas.Series.reindex_like"><code class="xref py py-obj docutils literal notranslate"><span class="pre">reindex_like</span></code></a>(other)</p></td> |
| <td><p>Return a Series with matching indices as other object.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.rename.html#pyspark.pandas.Series.rename" title="pyspark.pandas.Series.rename"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rename</span></code></a>([index])</p></td> |
| <td><p>Alter Series index labels or name.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.rename_axis.html#pyspark.pandas.Series.rename_axis" title="pyspark.pandas.Series.rename_axis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rename_axis</span></code></a>([mapper, index, inplace])</p></td> |
| <td><p>Set the name of the axis for the index or columns.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.repeat.html#pyspark.pandas.Series.repeat" title="pyspark.pandas.Series.repeat"><code class="xref py py-obj docutils literal notranslate"><span class="pre">repeat</span></code></a>(repeats)</p></td> |
| <td><p>Repeat elements of a Series.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.replace.html#pyspark.pandas.Series.replace" title="pyspark.pandas.Series.replace"><code class="xref py py-obj docutils literal notranslate"><span class="pre">replace</span></code></a>([to_replace, value, regex])</p></td> |
| <td><p>Replace values given in to_replace with value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.resample.html#pyspark.pandas.Series.resample" title="pyspark.pandas.Series.resample"><code class="xref py py-obj docutils literal notranslate"><span class="pre">resample</span></code></a>(rule[, closed, label, on])</p></td> |
| <td><p>Resample time-series data.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.reset_index.html#pyspark.pandas.Series.reset_index" title="pyspark.pandas.Series.reset_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">reset_index</span></code></a>([level, drop, name, inplace])</p></td> |
| <td><p>Generate a new DataFrame or Series with the index reset.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.rfloordiv.html#pyspark.pandas.Series.rfloordiv" title="pyspark.pandas.Series.rfloordiv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rfloordiv</span></code></a>(other)</p></td> |
| <td><p>Return Reverse Integer division of series and other, element-wise (binary operator <cite>//</cite>).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.rmod.html#pyspark.pandas.Series.rmod" title="pyspark.pandas.Series.rmod"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rmod</span></code></a>(other)</p></td> |
| <td><p>Return Reverse Modulo of series and other, element-wise (binary operator <cite>%</cite>).</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.rmul.html#pyspark.pandas.Series.rmul" title="pyspark.pandas.Series.rmul"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rmul</span></code></a>(other)</p></td> |
| <td><p>Return Reverse Multiplication of series and other, element-wise (binary operator <cite>*</cite>).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.rolling.html#pyspark.pandas.Series.rolling" title="pyspark.pandas.Series.rolling"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rolling</span></code></a>(window[, min_periods])</p></td> |
| <td><p>Provide rolling transformations.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.round.html#pyspark.pandas.Series.round" title="pyspark.pandas.Series.round"><code class="xref py py-obj docutils literal notranslate"><span class="pre">round</span></code></a>([decimals])</p></td> |
| <td><p>Round each value in a Series to the given number of decimals.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.rpow.html#pyspark.pandas.Series.rpow" title="pyspark.pandas.Series.rpow"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rpow</span></code></a>(other)</p></td> |
| <td><p>Return Reverse Exponential power of series and other, element-wise (binary operator <cite>**</cite>).</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.rsub.html#pyspark.pandas.Series.rsub" title="pyspark.pandas.Series.rsub"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rsub</span></code></a>(other)</p></td> |
| <td><p>Return Reverse Subtraction of series and other, element-wise (binary operator <cite>-</cite>).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.rtruediv.html#pyspark.pandas.Series.rtruediv" title="pyspark.pandas.Series.rtruediv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rtruediv</span></code></a>(other)</p></td> |
| <td><p>Return Reverse Floating division of series and other, element-wise (binary operator <cite>/</cite>).</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.sample.html#pyspark.pandas.Series.sample" title="pyspark.pandas.Series.sample"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample</span></code></a>([n, frac, replace, random_state, …])</p></td> |
| <td><p>Return a random sample of items from an axis of object.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.searchsorted.html#pyspark.pandas.Series.searchsorted" title="pyspark.pandas.Series.searchsorted"><code class="xref py py-obj docutils literal notranslate"><span class="pre">searchsorted</span></code></a>(value[, side])</p></td> |
| <td><p>Find indices where elements should be inserted to maintain order.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.sem.html#pyspark.pandas.Series.sem" title="pyspark.pandas.Series.sem"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sem</span></code></a>([axis, skipna, ddof, numeric_only])</p></td> |
| <td><p>Return unbiased standard error of the mean over requested axis.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.shift.html#pyspark.pandas.Series.shift" title="pyspark.pandas.Series.shift"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shift</span></code></a>([periods, fill_value])</p></td> |
| <td><p>Shift Series/Index by desired number of periods.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.skew.html#pyspark.pandas.Series.skew" title="pyspark.pandas.Series.skew"><code class="xref py py-obj docutils literal notranslate"><span class="pre">skew</span></code></a>([axis, skipna, numeric_only])</p></td> |
| <td><p>Return unbiased skew normalized by N-1.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.sort_index.html#pyspark.pandas.Series.sort_index" title="pyspark.pandas.Series.sort_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sort_index</span></code></a>([axis, level, ascending, …])</p></td> |
| <td><p>Sort object by labels (along an axis)</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.sort_values.html#pyspark.pandas.Series.sort_values" title="pyspark.pandas.Series.sort_values"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sort_values</span></code></a>([ascending, inplace, …])</p></td> |
| <td><p>Sort by the values.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.squeeze.html#pyspark.pandas.Series.squeeze" title="pyspark.pandas.Series.squeeze"><code class="xref py py-obj docutils literal notranslate"><span class="pre">squeeze</span></code></a>([axis])</p></td> |
| <td><p>Squeeze 1 dimensional axis objects into scalars.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.std.html#pyspark.pandas.Series.std" title="pyspark.pandas.Series.std"><code class="xref py py-obj docutils literal notranslate"><span class="pre">std</span></code></a>([axis, skipna, ddof, numeric_only])</p></td> |
| <td><p>Return sample standard deviation.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.sub.html#pyspark.pandas.Series.sub" title="pyspark.pandas.Series.sub"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sub</span></code></a>(other)</p></td> |
| <td><p>Return Subtraction of series and other, element-wise (binary operator <cite>-</cite>).</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">subtract</span></code>(other)</p></td> |
| <td><p>Return Subtraction of series and other, element-wise (binary operator <cite>-</cite>).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.sum.html#pyspark.pandas.Series.sum" title="pyspark.pandas.Series.sum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sum</span></code></a>([axis, skipna, numeric_only, min_count])</p></td> |
| <td><p>Return the sum of the values.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.swapaxes.html#pyspark.pandas.Series.swapaxes" title="pyspark.pandas.Series.swapaxes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">swapaxes</span></code></a>(i, j[, copy])</p></td> |
| <td><p>Interchange axes and swap values axes appropriately.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.swaplevel.html#pyspark.pandas.Series.swaplevel" title="pyspark.pandas.Series.swaplevel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">swaplevel</span></code></a>([i, j, copy])</p></td> |
| <td><p>Swap levels i and j in a MultiIndex.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.tail.html#pyspark.pandas.Series.tail" title="pyspark.pandas.Series.tail"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tail</span></code></a>([n])</p></td> |
| <td><p>Return the last <cite>n</cite> rows.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.take.html#pyspark.pandas.Series.take" title="pyspark.pandas.Series.take"><code class="xref py py-obj docutils literal notranslate"><span class="pre">take</span></code></a>(indices)</p></td> |
| <td><p>Return the elements in the given <em>positional</em> indices along an axis.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.to_clipboard.html#pyspark.pandas.Series.to_clipboard" title="pyspark.pandas.Series.to_clipboard"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_clipboard</span></code></a>([excel, sep])</p></td> |
| <td><p>Copy object to the system clipboard.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.to_csv.html#pyspark.pandas.Series.to_csv" title="pyspark.pandas.Series.to_csv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_csv</span></code></a>([path, sep, na_rep, columns, header, …])</p></td> |
| <td><p>Write object to a comma-separated values (csv) file.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_dataframe</span></code>([name])</p></td> |
| <td><p>Convert Series to DataFrame.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.to_dict.html#pyspark.pandas.Series.to_dict" title="pyspark.pandas.Series.to_dict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_dict</span></code></a>([into])</p></td> |
| <td><p>Convert Series to {label -> value} dict or dict-like object.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.to_excel.html#pyspark.pandas.Series.to_excel" title="pyspark.pandas.Series.to_excel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_excel</span></code></a>(excel_writer[, sheet_name, na_rep, …])</p></td> |
| <td><p>Write object to an Excel sheet.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.to_frame.html#pyspark.pandas.Series.to_frame" title="pyspark.pandas.Series.to_frame"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_frame</span></code></a>([name])</p></td> |
| <td><p>Convert Series to DataFrame.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.to_json.html#pyspark.pandas.Series.to_json" title="pyspark.pandas.Series.to_json"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_json</span></code></a>([path, compression, num_files, …])</p></td> |
| <td><p>Convert the object to a JSON string.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.to_latex.html#pyspark.pandas.Series.to_latex" title="pyspark.pandas.Series.to_latex"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_latex</span></code></a>([buf, columns, col_space, header, …])</p></td> |
| <td><p>Render an object to a LaTeX tabular environment table.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.to_list.html#pyspark.pandas.Series.to_list" title="pyspark.pandas.Series.to_list"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_list</span></code></a>()</p></td> |
| <td><p>Return a list of the values.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.to_markdown.html#pyspark.pandas.Series.to_markdown" title="pyspark.pandas.Series.to_markdown"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_markdown</span></code></a>([buf, mode])</p></td> |
| <td><p>Print Series or DataFrame in Markdown-friendly format.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.to_numpy.html#pyspark.pandas.Series.to_numpy" title="pyspark.pandas.Series.to_numpy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_numpy</span></code></a>()</p></td> |
| <td><p>A NumPy ndarray representing the values in this DataFrame or Series.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.to_pandas.html#pyspark.pandas.Series.to_pandas" title="pyspark.pandas.Series.to_pandas"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_pandas</span></code></a>()</p></td> |
| <td><p>Return a pandas Series.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.to_string.html#pyspark.pandas.Series.to_string" title="pyspark.pandas.Series.to_string"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_string</span></code></a>([buf, na_rep, float_format, …])</p></td> |
| <td><p>Render a string representation of the Series.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">tolist</span></code>()</p></td> |
| <td><p>Return a list of the values.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.transform.html#pyspark.pandas.Series.transform" title="pyspark.pandas.Series.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(func[, axis])</p></td> |
| <td><p>Call <code class="docutils literal notranslate"><span class="pre">func</span></code> producing the same type as <cite>self</cite> with transformed values and that has the same axis length as input.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">transpose</span></code>(*args, **kwargs)</p></td> |
| <td><p>Return the transpose, which is self.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.truediv.html#pyspark.pandas.Series.truediv" title="pyspark.pandas.Series.truediv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">truediv</span></code></a>(other)</p></td> |
| <td><p>Return Floating division of series and other, element-wise (binary operator <cite>/</cite>).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.truncate.html#pyspark.pandas.Series.truncate" title="pyspark.pandas.Series.truncate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">truncate</span></code></a>([before, after, axis, copy])</p></td> |
| <td><p>Truncate a Series or DataFrame before and after some index value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.unique.html#pyspark.pandas.Series.unique" title="pyspark.pandas.Series.unique"><code class="xref py py-obj docutils literal notranslate"><span class="pre">unique</span></code></a>()</p></td> |
| <td><p>Return unique values of Series object.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.unstack.html#pyspark.pandas.Series.unstack" title="pyspark.pandas.Series.unstack"><code class="xref py py-obj docutils literal notranslate"><span class="pre">unstack</span></code></a>([level])</p></td> |
| <td><p>Unstack, a.k.a.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.update.html#pyspark.pandas.Series.update" title="pyspark.pandas.Series.update"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update</span></code></a>(other)</p></td> |
| <td><p>Modify Series in place using non-NA values from passed Series.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.value_counts.html#pyspark.pandas.Series.value_counts" title="pyspark.pandas.Series.value_counts"><code class="xref py py-obj docutils literal notranslate"><span class="pre">value_counts</span></code></a>([normalize, sort, ascending, …])</p></td> |
| <td><p>Return a Series containing counts of unique values.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.var.html#pyspark.pandas.Series.var" title="pyspark.pandas.Series.var"><code class="xref py py-obj docutils literal notranslate"><span class="pre">var</span></code></a>([axis, ddof, numeric_only])</p></td> |
| <td><p>Return unbiased variance.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.where.html#pyspark.pandas.Series.where" title="pyspark.pandas.Series.where"><code class="xref py py-obj docutils literal notranslate"><span class="pre">where</span></code></a>(cond[, other])</p></td> |
| <td><p>Replace values where the condition is False.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.xs.html#pyspark.pandas.Series.xs" title="pyspark.pandas.Series.xs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">xs</span></code></a>(key[, level])</p></td> |
| <td><p>Return cross-section from the Series.</p></td> |
| </tr> |
| </tbody> |
| </table> |
| <p class="rubric">Attributes</p> |
| <table class="longtable table autosummary"> |
| <colgroup> |
| <col style="width: 10%" /> |
| <col style="width: 90%" /> |
| </colgroup> |
| <tbody> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.T.html#pyspark.pandas.Series.T" title="pyspark.pandas.Series.T"><code class="xref py py-obj docutils literal notranslate"><span class="pre">T</span></code></a></p></td> |
| <td><p>Return the transpose, which is self.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.at.html#pyspark.pandas.Series.at" title="pyspark.pandas.Series.at"><code class="xref py py-obj docutils literal notranslate"><span class="pre">at</span></code></a></p></td> |
| <td><p>Access a single value for a row/column label pair.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.axes.html#pyspark.pandas.Series.axes" title="pyspark.pandas.Series.axes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">axes</span></code></a></p></td> |
| <td><p>Return a list of the row axis labels.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.dtype.html#pyspark.pandas.Series.dtype" title="pyspark.pandas.Series.dtype"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dtype</span></code></a></p></td> |
| <td><p>Return the dtype object of the underlying data.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.dtypes.html#pyspark.pandas.Series.dtypes" title="pyspark.pandas.Series.dtypes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dtypes</span></code></a></p></td> |
| <td><p>Return the dtype object of the underlying data.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.empty.html#pyspark.pandas.Series.empty" title="pyspark.pandas.Series.empty"><code class="xref py py-obj docutils literal notranslate"><span class="pre">empty</span></code></a></p></td> |
| <td><p>Returns true if the current object is empty.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.hasnans.html#pyspark.pandas.Series.hasnans" title="pyspark.pandas.Series.hasnans"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hasnans</span></code></a></p></td> |
| <td><p>Return True if it has any missing values.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.iat.html#pyspark.pandas.Series.iat" title="pyspark.pandas.Series.iat"><code class="xref py py-obj docutils literal notranslate"><span class="pre">iat</span></code></a></p></td> |
| <td><p>Access a single value for a row/column pair by integer position.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.iloc.html#pyspark.pandas.Series.iloc" title="pyspark.pandas.Series.iloc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">iloc</span></code></a></p></td> |
| <td><p>Purely integer-location based indexing for selection by position.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.index.html#pyspark.pandas.Series.index" title="pyspark.pandas.Series.index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">index</span></code></a></p></td> |
| <td><p>The index (axis labels) Column of the Series.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.is_monotonic.html#pyspark.pandas.Series.is_monotonic" title="pyspark.pandas.Series.is_monotonic"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_monotonic</span></code></a></p></td> |
| <td><p>Return boolean if values in the object are monotonically increasing.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.is_monotonic_decreasing.html#pyspark.pandas.Series.is_monotonic_decreasing" title="pyspark.pandas.Series.is_monotonic_decreasing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_monotonic_decreasing</span></code></a></p></td> |
| <td><p>Return boolean if values in the object are monotonically decreasing.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.is_monotonic_increasing.html#pyspark.pandas.Series.is_monotonic_increasing" title="pyspark.pandas.Series.is_monotonic_increasing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_monotonic_increasing</span></code></a></p></td> |
| <td><p>Return boolean if values in the object are monotonically increasing.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.is_unique.html#pyspark.pandas.Series.is_unique" title="pyspark.pandas.Series.is_unique"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_unique</span></code></a></p></td> |
| <td><p>Return boolean if values in the object are unique</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.loc.html#pyspark.pandas.Series.loc" title="pyspark.pandas.Series.loc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">loc</span></code></a></p></td> |
| <td><p>Access a group of rows and columns by label(s) or a boolean Series.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.name.html#pyspark.pandas.Series.name" title="pyspark.pandas.Series.name"><code class="xref py py-obj docutils literal notranslate"><span class="pre">name</span></code></a></p></td> |
| <td><p>Return name of the Series.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.ndim.html#pyspark.pandas.Series.ndim" title="pyspark.pandas.Series.ndim"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ndim</span></code></a></p></td> |
| <td><p>Return an int representing the number of array dimensions.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.shape.html#pyspark.pandas.Series.shape" title="pyspark.pandas.Series.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td> |
| <td><p>Return a tuple of the shape of the underlying data.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Series.size.html#pyspark.pandas.Series.size" title="pyspark.pandas.Series.size"><code class="xref py py-obj docutils literal notranslate"><span class="pre">size</span></code></a></p></td> |
| <td><p>Return an int representing the number of elements in this object.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Series.values.html#pyspark.pandas.Series.values" title="pyspark.pandas.Series.values"><code class="xref py py-obj docutils literal notranslate"><span class="pre">values</span></code></a></p></td> |
| <td><p>Return a Numpy representation of the DataFrame or the Series.</p></td> |
| </tr> |
| </tbody> |
| </table> |
| </dd></dl> |
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