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| <section id="pyspark-pandas-index"> |
| <h1>pyspark.pandas.Index<a class="headerlink" href="#pyspark-pandas-index" title="Permalink to this headline">¶</a></h1> |
| <dl class="py class"> |
| <dt id="pyspark.pandas.Index"> |
| <em class="property">class </em><code class="sig-prename descclassname">pyspark.pandas.</code><code class="sig-name descname">Index</code><a class="reference internal" href="../../../_modules/pyspark/pandas/indexes/base.html#Index"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.pandas.Index" title="Permalink to this definition">¶</a></dt> |
| <dd><p>pandas-on-Spark Index that corresponds to pandas Index logically. This might hold Spark Column |
| internally.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><dl class="simple"> |
| <dt><strong>data</strong><span class="classifier">array-like (1-dimensional)</span></dt><dd></dd> |
| <dt><strong>dtype</strong><span class="classifier">dtype, default None</span></dt><dd><p>If dtype is None, we find the dtype that best fits the data. |
| If an actual dtype is provided, we coerce to that dtype if it’s safe. |
| Otherwise, an error will be raised.</p> |
| </dd> |
| <dt><strong>copy</strong><span class="classifier">bool</span></dt><dd><p>Make a copy of input ndarray.</p> |
| </dd> |
| <dt><strong>name</strong><span class="classifier">object</span></dt><dd><p>Name to be stored in the index.</p> |
| </dd> |
| <dt><strong>tupleize_cols</strong><span class="classifier">bool (default: True)</span></dt><dd><p>When True, attempt to create a MultiIndex if possible.</p> |
| </dd> |
| </dl> |
| </dd> |
| </dl> |
| <div class="admonition seealso"> |
| <p class="admonition-title">See also</p> |
| <dl class="simple"> |
| <dt><a class="reference internal" href="pyspark.pandas.MultiIndex.html#pyspark.pandas.MultiIndex" title="pyspark.pandas.MultiIndex"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MultiIndex</span></code></a></dt><dd><p>A multi-level, or hierarchical, Index.</p> |
| </dd> |
| <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>Index of datetime64 data.</p> |
| </dd> |
| <dt><a class="reference internal" href="pyspark.pandas.Int64Index.html#pyspark.pandas.Int64Index" title="pyspark.pandas.Int64Index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Int64Index</span></code></a></dt><dd><p>A special case of <a class="reference internal" href="#pyspark.pandas.Index" title="pyspark.pandas.Index"><code class="xref py py-class docutils literal notranslate"><span class="pre">Index</span></code></a> with purely integer labels.</p> |
| </dd> |
| <dt><a class="reference internal" href="pyspark.pandas.Float64Index.html#pyspark.pandas.Float64Index" title="pyspark.pandas.Float64Index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Float64Index</span></code></a></dt><dd><p>A special case of <a class="reference internal" href="#pyspark.pandas.Index" title="pyspark.pandas.Index"><code class="xref py py-class docutils literal notranslate"><span class="pre">Index</span></code></a> with purely float labels.</p> |
| </dd> |
| </dl> |
| </div> |
| <p class="rubric">Examples</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">ps</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s1">'a'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'a'</span><span class="p">,</span> <span class="s1">'b'</span><span class="p">,</span> <span class="s1">'c'</span><span class="p">]},</span> <span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">])</span><span class="o">.</span><span class="n">index</span> |
| <span class="go">Int64Index([1, 2, 3], 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">ps</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s1">'a'</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">]},</span> <span class="n">index</span><span class="o">=</span><span class="nb">list</span><span class="p">(</span><span class="s1">'abc'</span><span class="p">))</span><span class="o">.</span><span class="n">index</span> |
| <span class="go">Index(['a', 'b', 'c'], dtype='object')</span> |
| </pre></div> |
| </div> |
| <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">Index</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">])</span> |
| <span class="go">Int64Index([1, 2, 3], 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">ps</span><span class="o">.</span><span class="n">Index</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="s1">'abc'</span><span class="p">))</span> |
| <span class="go">Index(['a', 'b', 'c'], dtype='object')</span> |
| </pre></div> |
| </div> |
| <p>From a Series:</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">s</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="n">index</span><span class="o">=</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">30</span><span class="p">])</span> |
| <span class="gp">>>> </span><span class="n">ps</span><span class="o">.</span><span class="n">Index</span><span class="p">(</span><span class="n">s</span><span class="p">)</span> |
| <span class="go">Int64Index([1, 2, 3], dtype='int64')</span> |
| </pre></div> |
| </div> |
| <p>From an Index:</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">idx</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">Index</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">])</span> |
| <span class="gp">>>> </span><span class="n">ps</span><span class="o">.</span><span class="n">Index</span><span class="p">(</span><span class="n">idx</span><span class="p">)</span> |
| <span class="go">Int64Index([1, 2, 3], dtype='int64')</span> |
| </pre></div> |
| </div> |
| <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.Index.all.html#pyspark.pandas.Index.all" title="pyspark.pandas.Index.all"><code class="xref py py-obj docutils literal notranslate"><span class="pre">all</span></code></a>([axis])</p></td> |
| <td><p>Return whether all elements are True.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.any.html#pyspark.pandas.Index.any" title="pyspark.pandas.Index.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-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.append.html#pyspark.pandas.Index.append" title="pyspark.pandas.Index.append"><code class="xref py py-obj docutils literal notranslate"><span class="pre">append</span></code></a>(other)</p></td> |
| <td><p>Append a collection of Index options together.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.argmax.html#pyspark.pandas.Index.argmax" title="pyspark.pandas.Index.argmax"><code class="xref py py-obj docutils literal notranslate"><span class="pre">argmax</span></code></a>()</p></td> |
| <td><p>Return a maximum argument indexer.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.argmin.html#pyspark.pandas.Index.argmin" title="pyspark.pandas.Index.argmin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">argmin</span></code></a>()</p></td> |
| <td><p>Return a minimum argument indexer.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.asof.html#pyspark.pandas.Index.asof" title="pyspark.pandas.Index.asof"><code class="xref py py-obj docutils literal notranslate"><span class="pre">asof</span></code></a>(label)</p></td> |
| <td><p>Return the label from the index, or, if not present, the previous one.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.astype.html#pyspark.pandas.Index.astype" title="pyspark.pandas.Index.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-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.copy.html#pyspark.pandas.Index.copy" title="pyspark.pandas.Index.copy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">copy</span></code></a>([name, deep])</p></td> |
| <td><p>Make a copy of this object.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.delete.html#pyspark.pandas.Index.delete" title="pyspark.pandas.Index.delete"><code class="xref py py-obj docutils literal notranslate"><span class="pre">delete</span></code></a>(loc)</p></td> |
| <td><p>Make new Index with passed location(-s) deleted.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.difference.html#pyspark.pandas.Index.difference" title="pyspark.pandas.Index.difference"><code class="xref py py-obj docutils literal notranslate"><span class="pre">difference</span></code></a>(other[, sort])</p></td> |
| <td><p>Return a new Index with elements from the index that are not in <cite>other</cite>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.drop.html#pyspark.pandas.Index.drop" title="pyspark.pandas.Index.drop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">drop</span></code></a>(labels)</p></td> |
| <td><p>Make new Index with passed list of labels deleted.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.drop_duplicates.html#pyspark.pandas.Index.drop_duplicates" title="pyspark.pandas.Index.drop_duplicates"><code class="xref py py-obj docutils literal notranslate"><span class="pre">drop_duplicates</span></code></a>()</p></td> |
| <td><p>Return Index with duplicate values removed.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.droplevel.html#pyspark.pandas.Index.droplevel" title="pyspark.pandas.Index.droplevel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">droplevel</span></code></a>(level)</p></td> |
| <td><p>Return index with requested level(s) removed.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.dropna.html#pyspark.pandas.Index.dropna" title="pyspark.pandas.Index.dropna"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dropna</span></code></a>()</p></td> |
| <td><p>Return Index or MultiIndex without NA/NaN values</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.equals.html#pyspark.pandas.Index.equals" title="pyspark.pandas.Index.equals"><code class="xref py py-obj docutils literal notranslate"><span class="pre">equals</span></code></a>(other)</p></td> |
| <td><p>Determine if two Index objects contain the same elements.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.factorize.html#pyspark.pandas.Index.factorize" title="pyspark.pandas.Index.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-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.fillna.html#pyspark.pandas.Index.fillna" title="pyspark.pandas.Index.fillna"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fillna</span></code></a>(value)</p></td> |
| <td><p>Fill NA/NaN values with the specified value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_level_values</span></code>(level)</p></td> |
| <td><p>Return Index if a valid level is given.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">holds_integer</span></code>()</p></td> |
| <td><p>Whether the type is an integer type.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.identical.html#pyspark.pandas.Index.identical" title="pyspark.pandas.Index.identical"><code class="xref py py-obj docutils literal notranslate"><span class="pre">identical</span></code></a>(other)</p></td> |
| <td><p>Similar to equals, but check that other comparable attributes are also equal.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.insert.html#pyspark.pandas.Index.insert" title="pyspark.pandas.Index.insert"><code class="xref py py-obj docutils literal notranslate"><span class="pre">insert</span></code></a>(loc, item)</p></td> |
| <td><p>Make new Index inserting new item at location.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.intersection.html#pyspark.pandas.Index.intersection" title="pyspark.pandas.Index.intersection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">intersection</span></code></a>(other)</p></td> |
| <td><p>Form the intersection of two Index objects.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.is_boolean.html#pyspark.pandas.Index.is_boolean" title="pyspark.pandas.Index.is_boolean"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_boolean</span></code></a>()</p></td> |
| <td><p>Return if the current index type is a boolean type.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.is_categorical.html#pyspark.pandas.Index.is_categorical" title="pyspark.pandas.Index.is_categorical"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_categorical</span></code></a>()</p></td> |
| <td><p>Return if the current index type is a categorical type.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.is_floating.html#pyspark.pandas.Index.is_floating" title="pyspark.pandas.Index.is_floating"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_floating</span></code></a>()</p></td> |
| <td><p>Return if the current index type is a floating type.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.is_integer.html#pyspark.pandas.Index.is_integer" title="pyspark.pandas.Index.is_integer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_integer</span></code></a>()</p></td> |
| <td><p>Return if the current index type is a integer type.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.is_interval.html#pyspark.pandas.Index.is_interval" title="pyspark.pandas.Index.is_interval"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_interval</span></code></a>()</p></td> |
| <td><p>Return if the current index type is an interval type.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.is_numeric.html#pyspark.pandas.Index.is_numeric" title="pyspark.pandas.Index.is_numeric"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_numeric</span></code></a>()</p></td> |
| <td><p>Return if the current index type is a numeric type.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.is_object.html#pyspark.pandas.Index.is_object" title="pyspark.pandas.Index.is_object"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_object</span></code></a>()</p></td> |
| <td><p>Return if the current index type is a object type.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_type_compatible</span></code>(kind)</p></td> |
| <td><p>Whether the index type is compatible with the provided type.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.isin.html#pyspark.pandas.Index.isin" title="pyspark.pandas.Index.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-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.isna.html#pyspark.pandas.Index.isna" title="pyspark.pandas.Index.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-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">isnull</span></code>()</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.Index.item.html#pyspark.pandas.Index.item" title="pyspark.pandas.Index.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-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.map.html#pyspark.pandas.Index.map" title="pyspark.pandas.Index.map"><code class="xref py py-obj docutils literal notranslate"><span class="pre">map</span></code></a>(mapper[, na_action])</p></td> |
| <td><p>Map values using input correspondence (a dict, Series, or function).</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.max.html#pyspark.pandas.Index.max" title="pyspark.pandas.Index.max"><code class="xref py py-obj docutils literal notranslate"><span class="pre">max</span></code></a>()</p></td> |
| <td><p>Return the maximum value of the Index.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.min.html#pyspark.pandas.Index.min" title="pyspark.pandas.Index.min"><code class="xref py py-obj docutils literal notranslate"><span class="pre">min</span></code></a>()</p></td> |
| <td><p>Return the minimum value of the Index.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.notna.html#pyspark.pandas.Index.notna" title="pyspark.pandas.Index.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><code class="xref py py-obj docutils literal notranslate"><span class="pre">notnull</span></code>()</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.Index.nunique.html#pyspark.pandas.Index.nunique" title="pyspark.pandas.Index.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-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.rename.html#pyspark.pandas.Index.rename" title="pyspark.pandas.Index.rename"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rename</span></code></a>(name[, inplace])</p></td> |
| <td><p>Alter Index or MultiIndex name.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.repeat.html#pyspark.pandas.Index.repeat" title="pyspark.pandas.Index.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 Index/MultiIndex.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.set_names.html#pyspark.pandas.Index.set_names" title="pyspark.pandas.Index.set_names"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_names</span></code></a>(names[, level, inplace])</p></td> |
| <td><p>Set Index or MultiIndex name.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.shift.html#pyspark.pandas.Index.shift" title="pyspark.pandas.Index.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-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">sort</span></code>(*args, **kwargs)</p></td> |
| <td><p>Use sort_values instead.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.sort_values.html#pyspark.pandas.Index.sort_values" title="pyspark.pandas.Index.sort_values"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sort_values</span></code></a>([ascending])</p></td> |
| <td><p>Return a sorted copy of the index.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.symmetric_difference.html#pyspark.pandas.Index.symmetric_difference" title="pyspark.pandas.Index.symmetric_difference"><code class="xref py py-obj docutils literal notranslate"><span class="pre">symmetric_difference</span></code></a>(other[, result_name, sort])</p></td> |
| <td><p>Compute the symmetric difference of two Index objects.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.take.html#pyspark.pandas.Index.take" title="pyspark.pandas.Index.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-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.to_frame.html#pyspark.pandas.Index.to_frame" title="pyspark.pandas.Index.to_frame"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_frame</span></code></a>([index, name])</p></td> |
| <td><p>Create a DataFrame with a column containing the Index.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.to_list.html#pyspark.pandas.Index.to_list" title="pyspark.pandas.Index.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.Index.to_numpy.html#pyspark.pandas.Index.to_numpy" title="pyspark.pandas.Index.to_numpy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_numpy</span></code></a>([dtype, copy])</p></td> |
| <td><p>A NumPy ndarray representing the values in this Index or MultiIndex.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_pandas</span></code>()</p></td> |
| <td><p>Return a pandas Index.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.to_series.html#pyspark.pandas.Index.to_series" title="pyspark.pandas.Index.to_series"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_series</span></code></a>([name])</p></td> |
| <td><p>Create a Series with both index and values equal to the index keys useful with map for returning an indexer based on an index.</p></td> |
| </tr> |
| <tr class="row-even"><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-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">transpose</span></code>()</p></td> |
| <td><p>Return the transpose, For index, It will be index itself.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.union.html#pyspark.pandas.Index.union" title="pyspark.pandas.Index.union"><code class="xref py py-obj docutils literal notranslate"><span class="pre">union</span></code></a>(other[, sort])</p></td> |
| <td><p>Form the union of two Index objects.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.unique.html#pyspark.pandas.Index.unique" title="pyspark.pandas.Index.unique"><code class="xref py py-obj docutils literal notranslate"><span class="pre">unique</span></code></a>([level])</p></td> |
| <td><p>Return unique values in the index.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.value_counts.html#pyspark.pandas.Index.value_counts" title="pyspark.pandas.Index.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-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.view.html#pyspark.pandas.Index.view" title="pyspark.pandas.Index.view"><code class="xref py py-obj docutils literal notranslate"><span class="pre">view</span></code></a>()</p></td> |
| <td><p>this is defined as a copy with the same identity</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.Index.T.html#pyspark.pandas.Index.T" title="pyspark.pandas.Index.T"><code class="xref py py-obj docutils literal notranslate"><span class="pre">T</span></code></a></p></td> |
| <td><p>Return the transpose, For index, It will be index itself.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">asi8</span></code></p></td> |
| <td><p>Integer representation of the values.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.dtype.html#pyspark.pandas.Index.dtype" title="pyspark.pandas.Index.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-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.empty.html#pyspark.pandas.Index.empty" title="pyspark.pandas.Index.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.Index.has_duplicates.html#pyspark.pandas.Index.has_duplicates" title="pyspark.pandas.Index.has_duplicates"><code class="xref py py-obj docutils literal notranslate"><span class="pre">has_duplicates</span></code></a></p></td> |
| <td><p>If index has duplicates, return True, otherwise False.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.hasnans.html#pyspark.pandas.Index.hasnans" title="pyspark.pandas.Index.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-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.inferred_type.html#pyspark.pandas.Index.inferred_type" title="pyspark.pandas.Index.inferred_type"><code class="xref py py-obj docutils literal notranslate"><span class="pre">inferred_type</span></code></a></p></td> |
| <td><p>Return a string of the type inferred from the values.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.is_all_dates.html#pyspark.pandas.Index.is_all_dates" title="pyspark.pandas.Index.is_all_dates"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_all_dates</span></code></a></p></td> |
| <td><p>Return if all data types of the index are datetime.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.is_monotonic.html#pyspark.pandas.Index.is_monotonic" title="pyspark.pandas.Index.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.Index.is_monotonic_decreasing.html#pyspark.pandas.Index.is_monotonic_decreasing" title="pyspark.pandas.Index.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.Index.is_monotonic_increasing.html#pyspark.pandas.Index.is_monotonic_increasing" title="pyspark.pandas.Index.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.Index.is_unique.html#pyspark.pandas.Index.is_unique" title="pyspark.pandas.Index.is_unique"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_unique</span></code></a></p></td> |
| <td><p>Return if the index has unique values.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.name.html#pyspark.pandas.Index.name" title="pyspark.pandas.Index.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 Index.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.names.html#pyspark.pandas.Index.names" title="pyspark.pandas.Index.names"><code class="xref py py-obj docutils literal notranslate"><span class="pre">names</span></code></a></p></td> |
| <td><p>Return names of the Index.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.ndim.html#pyspark.pandas.Index.ndim" title="pyspark.pandas.Index.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.Index.nlevels.html#pyspark.pandas.Index.nlevels" title="pyspark.pandas.Index.nlevels"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nlevels</span></code></a></p></td> |
| <td><p>Number of levels in Index & MultiIndex.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.shape.html#pyspark.pandas.Index.shape" title="pyspark.pandas.Index.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-even"><td><p><a class="reference internal" href="pyspark.pandas.Index.size.html#pyspark.pandas.Index.size" title="pyspark.pandas.Index.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-odd"><td><p><a class="reference internal" href="pyspark.pandas.Index.values.html#pyspark.pandas.Index.values" title="pyspark.pandas.Index.values"><code class="xref py py-obj docutils literal notranslate"><span class="pre">values</span></code></a></p></td> |
| <td><p>Return an array representing the data in the Index.</p></td> |
| </tr> |
| </tbody> |
| </table> |
| </dd></dl> |
| |
| </section> |
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