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| <div class="section" id="pyspark-pandas-timedeltaindex"> |
| <h1>pyspark.pandas.TimedeltaIndex<a class="headerlink" href="#pyspark-pandas-timedeltaindex" title="Permalink to this headline">¶</a></h1> |
| <dl class="py class"> |
| <dt id="pyspark.pandas.TimedeltaIndex"> |
| <em class="property">class </em><code class="sig-prename descclassname">pyspark.pandas.</code><code class="sig-name descname">TimedeltaIndex</code><a class="reference internal" href="../../../_modules/pyspark/pandas/indexes/timedelta.html#TimedeltaIndex"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.pandas.TimedeltaIndex" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Immutable ndarray-like of timedelta64 data, represented internally as int64, and |
| which can be boxed to timedelta objects.</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), optional</span></dt><dd><p>Optional timedelta-like data to construct index with.</p> |
| </dd> |
| <dt><strong>unit</strong><span class="classifier">unit of the arg (D,h,m,s,ms,us,ns) denote the unit, optional</span></dt><dd><p>Which is an integer/float number.</p> |
| </dd> |
| <dt><strong>freq</strong><span class="classifier">str or pandas offset object, optional</span></dt><dd><p>One of pandas date offset strings or corresponding objects. The string |
| ‘infer’ can be passed in order to set the frequency of the index as the |
| inferred frequency upon creation.</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> |
| </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.Index.html#pyspark.pandas.Index" title="pyspark.pandas.Index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Index</span></code></a></dt><dd><p>The base pandas Index type.</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="kn">from</span> <span class="nn">datetime</span> <span class="kn">import</span> <span class="n">timedelta</span> |
| <span class="gp">>>> </span><span class="n">ps</span><span class="o">.</span><span class="n">TimedeltaIndex</span><span class="p">([</span><span class="n">timedelta</span><span class="p">(</span><span class="mi">1</span><span class="p">),</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">microseconds</span><span class="o">=</span><span class="mi">2</span><span class="p">)])</span> |
| <span class="gp">... </span> |
| <span class="go">TimedeltaIndex(['1 days 00:00:00', '0 days 00:00:00.000002'],</span> |
| <span class="go">dtype='timedelta64[ns]', freq=None)</span> |
| </pre></div> |
| </div> |
| <p>From an 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="n">timedelta</span><span class="p">(</span><span class="mi">1</span><span class="p">),</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">microseconds</span><span class="o">=</span><span class="mi">2</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="gp">>>> </span><span class="n">ps</span><span class="o">.</span><span class="n">TimedeltaIndex</span><span class="p">(</span><span class="n">s</span><span class="p">)</span> |
| <span class="gp">... </span> |
| <span class="go">TimedeltaIndex(['1 days 00:00:00', '0 days 00:00:00.000002'],</span> |
| <span class="go">dtype='timedelta64[ns]', freq=None)</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">TimedeltaIndex</span><span class="p">([</span><span class="n">timedelta</span><span class="p">(</span><span class="mi">1</span><span class="p">),</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">microseconds</span><span class="o">=</span><span class="mi">2</span><span class="p">)])</span> |
| <span class="gp">>>> </span><span class="n">ps</span><span class="o">.</span><span class="n">TimedeltaIndex</span><span class="p">(</span><span class="n">idx</span><span class="p">)</span> |
| <span class="gp">... </span> |
| <span class="go">TimedeltaIndex(['1 days 00:00:00', '0 days 00:00:00.000002'],</span> |
| <span class="go">dtype='timedelta64[ns]', freq=None)</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><code class="xref py py-obj docutils literal notranslate"><span class="pre">all</span></code>(*args, **kwargs)</p></td> |
| <td><p>Return whether all elements are True.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">any</span></code>([axis])</p></td> |
| <td><p>Return whether any element is True.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">append</span></code>(other)</p></td> |
| <td><p>Append a collection of Index options together.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">argmax</span></code>()</p></td> |
| <td><p>Return a maximum argument indexer.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">argmin</span></code>()</p></td> |
| <td><p>Return a minimum argument indexer.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">asof</span></code>(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><code class="xref py py-obj docutils literal notranslate"><span class="pre">astype</span></code>(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><code class="xref py py-obj docutils literal notranslate"><span class="pre">copy</span></code>([name, deep])</p></td> |
| <td><p>Make a copy of this object.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">delete</span></code>(loc)</p></td> |
| <td><p>Make new Index with passed location(-s) deleted.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">difference</span></code>(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><code class="xref py py-obj docutils literal notranslate"><span class="pre">drop</span></code>(labels)</p></td> |
| <td><p>Make new Index with passed list of labels deleted.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">drop_duplicates</span></code>([keep])</p></td> |
| <td><p>Return Index with duplicate values removed.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">droplevel</span></code>(level)</p></td> |
| <td><p>Return index with requested level(s) removed.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">dropna</span></code>([how])</p></td> |
| <td><p>Return Index or MultiIndex without NA/NaN values</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">equals</span></code>(other)</p></td> |
| <td><p>Determine if two Index objects contain the same elements.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">factorize</span></code>([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><code class="xref py py-obj docutils literal notranslate"><span class="pre">fillna</span></code>(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><code class="xref py py-obj docutils literal notranslate"><span class="pre">identical</span></code>(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><code class="xref py py-obj docutils literal notranslate"><span class="pre">insert</span></code>(loc, item)</p></td> |
| <td><p>Make new Index inserting new item at location.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">intersection</span></code>(other)</p></td> |
| <td><p>Form the intersection of two Index objects.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_boolean</span></code>()</p></td> |
| <td><p>Return if the current index type is a boolean type.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_categorical</span></code>()</p></td> |
| <td><p>Return if the current index type is a categorical type.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_floating</span></code>()</p></td> |
| <td><p>Return if the current index type is a floating type.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_integer</span></code>()</p></td> |
| <td><p>Return if the current index type is an integer type.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_interval</span></code>()</p></td> |
| <td><p>Return if the current index type is an interval type.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_numeric</span></code>()</p></td> |
| <td><p>Return if the current index type is a numeric type.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_object</span></code>()</p></td> |
| <td><p>Return if the current index type is an 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><code class="xref py py-obj docutils literal notranslate"><span class="pre">isin</span></code>(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><code class="xref py py-obj docutils literal notranslate"><span class="pre">isna</span></code>()</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><code class="xref py py-obj docutils literal notranslate"><span class="pre">item</span></code>()</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><code class="xref py py-obj docutils literal notranslate"><span class="pre">map</span></code>(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><code class="xref py py-obj docutils literal notranslate"><span class="pre">max</span></code>()</p></td> |
| <td><p>Return the maximum value of the Index.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">min</span></code>()</p></td> |
| <td><p>Return the minimum value of the Index.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">notna</span></code>()</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><code class="xref py py-obj docutils literal notranslate"><span class="pre">nunique</span></code>([dropna, approx, rsd])</p></td> |
| <td><p>Return number of unique elements in the object.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">rename</span></code>(name[, inplace])</p></td> |
| <td><p>Alter Index or MultiIndex name.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">repeat</span></code>(repeats)</p></td> |
| <td><p>Repeat elements of a Index/MultiIndex.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_names</span></code>(names[, level, inplace])</p></td> |
| <td><p>Set Index or MultiIndex name.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">shift</span></code>([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><code class="xref py py-obj docutils literal notranslate"><span class="pre">sort_values</span></code>([return_indexer, ascending])</p></td> |
| <td><p>Return a sorted copy of the index, and optionally return the indices that sorted the index itself.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">symmetric_difference</span></code>(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><code class="xref py py-obj docutils literal notranslate"><span class="pre">take</span></code>(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><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_frame</span></code>([index, name])</p></td> |
| <td><p>Create a DataFrame with a column containing the Index.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_list</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">to_numpy</span></code>([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><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_series</span></code>([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><code class="xref py py-obj docutils literal notranslate"><span class="pre">union</span></code>(other[, sort])</p></td> |
| <td><p>Form the union of two Index objects.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">unique</span></code>([level])</p></td> |
| <td><p>Return unique values in the index.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">value_counts</span></code>([normalize, sort, ascending, …])</p></td> |
| <td><p>Return a Series containing counts of unique values.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">view</span></code>()</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><code class="xref py py-obj docutils literal notranslate"><span class="pre">T</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><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.TimedeltaIndex.days.html#pyspark.pandas.TimedeltaIndex.days" title="pyspark.pandas.TimedeltaIndex.days"><code class="xref py py-obj docutils literal notranslate"><span class="pre">days</span></code></a></p></td> |
| <td><p>Number of days for each element.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">dtype</span></code></p></td> |
| <td><p>Return the dtype object of the underlying data.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">empty</span></code></p></td> |
| <td><p>Returns true if the current object is empty.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">has_duplicates</span></code></p></td> |
| <td><p>If index has duplicates, return True, otherwise False.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">hasnans</span></code></p></td> |
| <td><p>Return True if it has any missing values.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inferred_type</span></code></p></td> |
| <td><p>Return a string of the type inferred from the values.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_all_dates</span></code></p></td> |
| <td><p>Return if all data types of the index are datetime.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_monotonic</span></code></p></td> |
| <td><p>Return boolean if values in the object are monotonically increasing.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_monotonic_decreasing</span></code></p></td> |
| <td><p>Return boolean if values in the object are monotonically decreasing.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_monotonic_increasing</span></code></p></td> |
| <td><p>Return boolean if values in the object are monotonically increasing.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_unique</span></code></p></td> |
| <td><p>Return if the index has unique values.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="pyspark.pandas.TimedeltaIndex.microseconds.html#pyspark.pandas.TimedeltaIndex.microseconds" title="pyspark.pandas.TimedeltaIndex.microseconds"><code class="xref py py-obj docutils literal notranslate"><span class="pre">microseconds</span></code></a></p></td> |
| <td><p>Number of microseconds (>= 0 and less than 1 second) for each element.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">name</span></code></p></td> |
| <td><p>Return name of the Index.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">names</span></code></p></td> |
| <td><p>Return names of the Index.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">ndim</span></code></p></td> |
| <td><p>Return an int representing the number of array dimensions.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">nlevels</span></code></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.TimedeltaIndex.seconds.html#pyspark.pandas.TimedeltaIndex.seconds" title="pyspark.pandas.TimedeltaIndex.seconds"><code class="xref py py-obj docutils literal notranslate"><span class="pre">seconds</span></code></a></p></td> |
| <td><p>Number of seconds (>= 0 and less than 1 day) for each element.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></p></td> |
| <td><p>Return a tuple of the shape of the underlying data.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">size</span></code></p></td> |
| <td><p>Return an int representing the number of elements in this object.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">values</span></code></p></td> |
| <td><p>Return an array representing the data in the Index.</p></td> |
| </tr> |
| </tbody> |
| </table> |
| </dd></dl> |
| |
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