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| <div class="section" id="pyspark-rdd-zipwithindex"> |
| <h1>pyspark.RDD.zipWithIndex<a class="headerlink" href="#pyspark-rdd-zipwithindex" title="Permalink to this headline">¶</a></h1> |
| <dl class="py method"> |
| <dt id="pyspark.RDD.zipWithIndex"> |
| <code class="sig-prename descclassname">RDD.</code><code class="sig-name descname">zipWithIndex</code><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/pyspark/rdd.html#RDD.zipWithIndex"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.RDD.zipWithIndex" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Zips this RDD with its element indices.</p> |
| <p>The ordering is first based on the partition index and then the |
| ordering of items within each partition. So the first item in |
| the first partition gets index 0, and the last item in the last |
| partition receives the largest index.</p> |
| <p>This method needs to trigger a spark job when this RDD contains |
| more than one partitions.</p> |
| <p class="rubric">Examples</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">sc</span><span class="o">.</span><span class="n">parallelize</span><span class="p">([</span><span class="s2">"a"</span><span class="p">,</span> <span class="s2">"b"</span><span class="p">,</span> <span class="s2">"c"</span><span class="p">,</span> <span class="s2">"d"</span><span class="p">],</span> <span class="mi">3</span><span class="p">)</span><span class="o">.</span><span class="n">zipWithIndex</span><span class="p">()</span><span class="o">.</span><span class="n">collect</span><span class="p">()</span> |
| <span class="go">[('a', 0), ('b', 1), ('c', 2), ('d', 3)]</span> |
| </pre></div> |
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