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| pyspark.RDD.barrier |
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| pyspark.RDD.cache |
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| <a class="reference internal" href="../api/pyspark.RDD.cartesian.html"> |
| pyspark.RDD.cartesian |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.checkpoint.html"> |
| pyspark.RDD.checkpoint |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.cleanShuffleDependencies.html"> |
| pyspark.RDD.cleanShuffleDependencies |
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| <li class="toctree-l2"> |
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| pyspark.RDD.coalesce |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.cogroup.html"> |
| pyspark.RDD.cogroup |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.collect.html"> |
| pyspark.RDD.collect |
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| <a class="reference internal" href="../api/pyspark.RDD.collectAsMap.html"> |
| pyspark.RDD.collectAsMap |
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| pyspark.RDD.collectWithJobGroup |
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| <a class="reference internal" href="../api/pyspark.RDD.combineByKey.html"> |
| pyspark.RDD.combineByKey |
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| <a class="reference internal" href="../api/pyspark.RDD.context.html"> |
| pyspark.RDD.context |
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| <a class="reference internal" href="../api/pyspark.RDD.count.html"> |
| pyspark.RDD.count |
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| pyspark.RDD.countApprox |
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| pyspark.RDD.countApproxDistinct |
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| pyspark.RDD.countByKey |
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| pyspark.RDD.countByValue |
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| pyspark.RDD.distinct |
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| <a class="reference internal" href="../api/pyspark.RDD.filter.html"> |
| pyspark.RDD.filter |
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| <a class="reference internal" href="../api/pyspark.RDD.first.html"> |
| pyspark.RDD.first |
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| <a class="reference internal" href="../api/pyspark.RDD.flatMap.html"> |
| pyspark.RDD.flatMap |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.flatMapValues.html"> |
| pyspark.RDD.flatMapValues |
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| <a class="reference internal" href="../api/pyspark.RDD.fold.html"> |
| pyspark.RDD.fold |
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| pyspark.RDD.foldByKey |
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| <a class="reference internal" href="../api/pyspark.RDD.foreach.html"> |
| pyspark.RDD.foreach |
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| <a class="reference internal" href="../api/pyspark.RDD.foreachPartition.html"> |
| pyspark.RDD.foreachPartition |
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| <a class="reference internal" href="../api/pyspark.RDD.fullOuterJoin.html"> |
| pyspark.RDD.fullOuterJoin |
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| <a class="reference internal" href="../api/pyspark.RDD.getCheckpointFile.html"> |
| pyspark.RDD.getCheckpointFile |
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| <a class="reference internal" href="../api/pyspark.RDD.getNumPartitions.html"> |
| pyspark.RDD.getNumPartitions |
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| <a class="reference internal" href="../api/pyspark.RDD.getResourceProfile.html"> |
| pyspark.RDD.getResourceProfile |
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| <a class="reference internal" href="../api/pyspark.RDD.getStorageLevel.html"> |
| pyspark.RDD.getStorageLevel |
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| <a class="reference internal" href="../api/pyspark.RDD.glom.html"> |
| pyspark.RDD.glom |
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| <a class="reference internal" href="../api/pyspark.RDD.groupBy.html"> |
| pyspark.RDD.groupBy |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.groupByKey.html"> |
| pyspark.RDD.groupByKey |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.groupWith.html"> |
| pyspark.RDD.groupWith |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.histogram.html"> |
| pyspark.RDD.histogram |
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| <a class="reference internal" href="../api/pyspark.RDD.id.html"> |
| pyspark.RDD.id |
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| <a class="reference internal" href="../api/pyspark.RDD.intersection.html"> |
| pyspark.RDD.intersection |
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| <a class="reference internal" href="../api/pyspark.RDD.isCheckpointed.html"> |
| pyspark.RDD.isCheckpointed |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.isEmpty.html"> |
| pyspark.RDD.isEmpty |
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| <a class="reference internal" href="../api/pyspark.RDD.isLocallyCheckpointed.html"> |
| pyspark.RDD.isLocallyCheckpointed |
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| <a class="reference internal" href="../api/pyspark.RDD.join.html"> |
| pyspark.RDD.join |
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| <a class="reference internal" href="../api/pyspark.RDD.keyBy.html"> |
| pyspark.RDD.keyBy |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.keys.html"> |
| pyspark.RDD.keys |
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| <a class="reference internal" href="../api/pyspark.RDD.leftOuterJoin.html"> |
| pyspark.RDD.leftOuterJoin |
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| <a class="reference internal" href="../api/pyspark.RDD.localCheckpoint.html"> |
| pyspark.RDD.localCheckpoint |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.lookup.html"> |
| pyspark.RDD.lookup |
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| <a class="reference internal" href="../api/pyspark.RDD.map.html"> |
| pyspark.RDD.map |
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| <a class="reference internal" href="../api/pyspark.RDD.mapPartitions.html"> |
| pyspark.RDD.mapPartitions |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.mapPartitionsWithIndex.html"> |
| pyspark.RDD.mapPartitionsWithIndex |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.mapPartitionsWithSplit.html"> |
| pyspark.RDD.mapPartitionsWithSplit |
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| <a class="reference internal" href="../api/pyspark.RDD.mapValues.html"> |
| pyspark.RDD.mapValues |
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| <a class="reference internal" href="../api/pyspark.RDD.max.html"> |
| pyspark.RDD.max |
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| <a class="reference internal" href="../api/pyspark.RDD.mean.html"> |
| pyspark.RDD.mean |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.meanApprox.html"> |
| pyspark.RDD.meanApprox |
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| <a class="reference internal" href="../api/pyspark.RDD.min.html"> |
| pyspark.RDD.min |
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| <a class="reference internal" href="../api/pyspark.RDD.name.html"> |
| pyspark.RDD.name |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.partitionBy.html"> |
| pyspark.RDD.partitionBy |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.persist.html"> |
| pyspark.RDD.persist |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.pipe.html"> |
| pyspark.RDD.pipe |
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| <a class="reference internal" href="../api/pyspark.RDD.randomSplit.html"> |
| pyspark.RDD.randomSplit |
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| <a class="reference internal" href="../api/pyspark.RDD.reduce.html"> |
| pyspark.RDD.reduce |
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| pyspark.RDD.reduceByKey |
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| <a class="reference internal" href="../api/pyspark.RDD.reduceByKeyLocally.html"> |
| pyspark.RDD.reduceByKeyLocally |
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| <a class="reference internal" href="../api/pyspark.RDD.repartition.html"> |
| pyspark.RDD.repartition |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.repartitionAndSortWithinPartitions.html"> |
| pyspark.RDD.repartitionAndSortWithinPartitions |
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| <a class="reference internal" href="../api/pyspark.RDD.rightOuterJoin.html"> |
| pyspark.RDD.rightOuterJoin |
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| pyspark.RDD.sample |
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| pyspark.RDD.sampleByKey |
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| pyspark.RDD.sampleStdev |
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| <a class="reference internal" href="../api/pyspark.RDD.sampleVariance.html"> |
| pyspark.RDD.sampleVariance |
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| pyspark.RDD.saveAsHadoopDataset |
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| <a class="reference internal" href="../api/pyspark.RDD.saveAsHadoopFile.html"> |
| pyspark.RDD.saveAsHadoopFile |
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| pyspark.RDD.saveAsNewAPIHadoopDataset |
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| pyspark.RDD.saveAsNewAPIHadoopFile |
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| pyspark.RDD.saveAsPickleFile |
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| pyspark.RDD.saveAsSequenceFile |
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| pyspark.RDD.saveAsTextFile |
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| pyspark.RDD.setName |
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| pyspark.RDD.sortBy |
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| <a class="reference internal" href="../api/pyspark.RDD.sortByKey.html"> |
| pyspark.RDD.sortByKey |
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| pyspark.RDD.stats |
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| <a class="reference internal" href="../api/pyspark.RDD.stdev.html"> |
| pyspark.RDD.stdev |
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| pyspark.RDD.subtract |
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| pyspark.RDD.subtractByKey |
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| pyspark.RDD.sum |
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| pyspark.RDD.sumApprox |
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| pyspark.RDD.take |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.takeOrdered.html"> |
| pyspark.RDD.takeOrdered |
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| pyspark.RDD.takeSample |
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| pyspark.RDD.toDebugString |
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| pyspark.RDD.toLocalIterator |
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| pyspark.RDD.top |
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| <a class="reference internal" href="../api/pyspark.RDD.treeAggregate.html"> |
| pyspark.RDD.treeAggregate |
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| <a class="reference internal" href="../api/pyspark.RDD.treeReduce.html"> |
| pyspark.RDD.treeReduce |
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| pyspark.RDD.union |
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| pyspark.RDD.unpersist |
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| <a class="reference internal" href="../api/pyspark.RDD.values.html"> |
| pyspark.RDD.values |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.variance.html"> |
| pyspark.RDD.variance |
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| pyspark.RDD.withResources |
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| pyspark.RDD.zip |
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| <a class="reference internal" href="../api/pyspark.RDD.zipWithIndex.html"> |
| pyspark.RDD.zipWithIndex |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.RDD.zipWithUniqueId.html"> |
| pyspark.RDD.zipWithUniqueId |
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| pyspark.Broadcast.destroy |
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| <a class="reference internal" href="../api/pyspark.Broadcast.dump.html"> |
| pyspark.Broadcast.dump |
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| <a class="reference internal" href="../api/pyspark.Broadcast.load.html"> |
| pyspark.Broadcast.load |
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| <a class="reference internal" href="../api/pyspark.Broadcast.load_from_path.html"> |
| pyspark.Broadcast.load_from_path |
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| <a class="reference internal" href="../api/pyspark.Broadcast.unpersist.html"> |
| pyspark.Broadcast.unpersist |
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| <a class="reference internal" href="../api/pyspark.Broadcast.value.html"> |
| pyspark.Broadcast.value |
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| pyspark.Accumulator.add |
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| <a class="reference internal" href="../api/pyspark.Accumulator.value.html"> |
| pyspark.Accumulator.value |
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| <a class="reference internal" href="../api/pyspark.AccumulatorParam.addInPlace.html"> |
| pyspark.AccumulatorParam.addInPlace |
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| pyspark.AccumulatorParam.zero |
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| pyspark.inheritable_thread_target |
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| <a class="reference internal" href="../api/pyspark.SparkConf.contains.html"> |
| pyspark.SparkConf.contains |
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| <li class="toctree-l2"> |
| <a class="reference internal" href="../api/pyspark.SparkConf.get.html"> |
| pyspark.SparkConf.get |
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| <div class="section" id="dataframe"> |
| <h1>DataFrame<a class="headerlink" href="#dataframe" title="Permalink to this headline">¶</a></h1> |
| <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="api/pyspark.sql.DataFrame.__getattr__.html#pyspark.sql.DataFrame.__getattr__" title="pyspark.sql.DataFrame.__getattr__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.__getattr__</span></code></a>(name)</p></td> |
| <td><p>Returns the <a class="reference internal" href="api/pyspark.sql.Column.html#pyspark.sql.Column" title="pyspark.sql.Column"><code class="xref py py-class docutils literal notranslate"><span class="pre">Column</span></code></a> denoted by <code class="docutils literal notranslate"><span class="pre">name</span></code>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.__getitem__.html#pyspark.sql.DataFrame.__getitem__" title="pyspark.sql.DataFrame.__getitem__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.__getitem__</span></code></a>(item)</p></td> |
| <td><p>Returns the column as a <a class="reference internal" href="api/pyspark.sql.Column.html#pyspark.sql.Column" title="pyspark.sql.Column"><code class="xref py py-class docutils literal notranslate"><span class="pre">Column</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.agg.html#pyspark.sql.DataFrame.agg" title="pyspark.sql.DataFrame.agg"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.agg</span></code></a>(*exprs)</p></td> |
| <td><p>Aggregate on the entire <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> without groups (shorthand for <code class="docutils literal notranslate"><span class="pre">df.groupBy().agg()</span></code>).</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.alias.html#pyspark.sql.DataFrame.alias" title="pyspark.sql.DataFrame.alias"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.alias</span></code></a>(alias)</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> with an alias set.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.approxQuantile.html#pyspark.sql.DataFrame.approxQuantile" title="pyspark.sql.DataFrame.approxQuantile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.approxQuantile</span></code></a>(col, probabilities, …)</p></td> |
| <td><p>Calculates the approximate quantiles of numerical columns of a <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.cache.html#pyspark.sql.DataFrame.cache" title="pyspark.sql.DataFrame.cache"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.cache</span></code></a>()</p></td> |
| <td><p>Persists the <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> with the default storage level (<cite>MEMORY_AND_DISK_DESER</cite>).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.checkpoint.html#pyspark.sql.DataFrame.checkpoint" title="pyspark.sql.DataFrame.checkpoint"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.checkpoint</span></code></a>([eager])</p></td> |
| <td><p>Returns a checkpointed version of this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.coalesce.html#pyspark.sql.DataFrame.coalesce" title="pyspark.sql.DataFrame.coalesce"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.coalesce</span></code></a>(numPartitions)</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> that has exactly <cite>numPartitions</cite> partitions.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.colRegex.html#pyspark.sql.DataFrame.colRegex" title="pyspark.sql.DataFrame.colRegex"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.colRegex</span></code></a>(colName)</p></td> |
| <td><p>Selects column based on the column name specified as a regex and returns it as <a class="reference internal" href="api/pyspark.sql.Column.html#pyspark.sql.Column" title="pyspark.sql.Column"><code class="xref py py-class docutils literal notranslate"><span class="pre">Column</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.collect.html#pyspark.sql.DataFrame.collect" title="pyspark.sql.DataFrame.collect"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.collect</span></code></a>()</p></td> |
| <td><p>Returns all the records as a list of <a class="reference internal" href="api/pyspark.sql.Row.html#pyspark.sql.Row" title="pyspark.sql.Row"><code class="xref py py-class docutils literal notranslate"><span class="pre">Row</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.columns.html#pyspark.sql.DataFrame.columns" title="pyspark.sql.DataFrame.columns"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.columns</span></code></a></p></td> |
| <td><p>Retrieves the names of all columns in the <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> as a list.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.corr.html#pyspark.sql.DataFrame.corr" title="pyspark.sql.DataFrame.corr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.corr</span></code></a>(col1, col2[, method])</p></td> |
| <td><p>Calculates the correlation of two columns of a <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> as a double value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.count.html#pyspark.sql.DataFrame.count" title="pyspark.sql.DataFrame.count"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.count</span></code></a>()</p></td> |
| <td><p>Returns the number of rows in this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.cov.html#pyspark.sql.DataFrame.cov" title="pyspark.sql.DataFrame.cov"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.cov</span></code></a>(col1, col2)</p></td> |
| <td><p>Calculate the sample covariance for the given columns, specified by their names, as a double value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.createGlobalTempView.html#pyspark.sql.DataFrame.createGlobalTempView" title="pyspark.sql.DataFrame.createGlobalTempView"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.createGlobalTempView</span></code></a>(name)</p></td> |
| <td><p>Creates a global temporary view with this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.createOrReplaceGlobalTempView.html#pyspark.sql.DataFrame.createOrReplaceGlobalTempView" title="pyspark.sql.DataFrame.createOrReplaceGlobalTempView"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.createOrReplaceGlobalTempView</span></code></a>(name)</p></td> |
| <td><p>Creates or replaces a global temporary view using the given name.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.createOrReplaceTempView.html#pyspark.sql.DataFrame.createOrReplaceTempView" title="pyspark.sql.DataFrame.createOrReplaceTempView"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.createOrReplaceTempView</span></code></a>(name)</p></td> |
| <td><p>Creates or replaces a local temporary view with this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.createTempView.html#pyspark.sql.DataFrame.createTempView" title="pyspark.sql.DataFrame.createTempView"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.createTempView</span></code></a>(name)</p></td> |
| <td><p>Creates a local temporary view with this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.crossJoin.html#pyspark.sql.DataFrame.crossJoin" title="pyspark.sql.DataFrame.crossJoin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.crossJoin</span></code></a>(other)</p></td> |
| <td><p>Returns the cartesian product with another <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.crosstab.html#pyspark.sql.DataFrame.crosstab" title="pyspark.sql.DataFrame.crosstab"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.crosstab</span></code></a>(col1, col2)</p></td> |
| <td><p>Computes a pair-wise frequency table of the given columns.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.cube.html#pyspark.sql.DataFrame.cube" title="pyspark.sql.DataFrame.cube"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.cube</span></code></a>(*cols)</p></td> |
| <td><p>Create a multi-dimensional cube for the current <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> using the specified columns, so we can run aggregations on them.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.describe.html#pyspark.sql.DataFrame.describe" title="pyspark.sql.DataFrame.describe"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.describe</span></code></a>(*cols)</p></td> |
| <td><p>Computes basic statistics for numeric and string columns.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.distinct.html#pyspark.sql.DataFrame.distinct" title="pyspark.sql.DataFrame.distinct"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.distinct</span></code></a>()</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> containing the distinct rows in this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.drop.html#pyspark.sql.DataFrame.drop" title="pyspark.sql.DataFrame.drop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.drop</span></code></a>(*cols)</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> without specified columns.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.dropDuplicates.html#pyspark.sql.DataFrame.dropDuplicates" title="pyspark.sql.DataFrame.dropDuplicates"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.dropDuplicates</span></code></a>([subset])</p></td> |
| <td><p>Return a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> with duplicate rows removed, optionally only considering certain columns.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.dropDuplicatesWithinWatermark.html#pyspark.sql.DataFrame.dropDuplicatesWithinWatermark" title="pyspark.sql.DataFrame.dropDuplicatesWithinWatermark"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.dropDuplicatesWithinWatermark</span></code></a>([subset])</p></td> |
| <td><p>Return a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> with duplicate rows removed,</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.drop_duplicates.html#pyspark.sql.DataFrame.drop_duplicates" title="pyspark.sql.DataFrame.drop_duplicates"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.drop_duplicates</span></code></a>([subset])</p></td> |
| <td><p><code class="xref py py-func docutils literal notranslate"><span class="pre">drop_duplicates()</span></code> is an alias for <code class="xref py py-func docutils literal notranslate"><span class="pre">dropDuplicates()</span></code>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.dropna.html#pyspark.sql.DataFrame.dropna" title="pyspark.sql.DataFrame.dropna"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.dropna</span></code></a>([how, thresh, subset])</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> omitting rows with null values.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.dtypes.html#pyspark.sql.DataFrame.dtypes" title="pyspark.sql.DataFrame.dtypes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.dtypes</span></code></a></p></td> |
| <td><p>Returns all column names and their data types as a list.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.exceptAll.html#pyspark.sql.DataFrame.exceptAll" title="pyspark.sql.DataFrame.exceptAll"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.exceptAll</span></code></a>(other)</p></td> |
| <td><p>Return a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> containing rows in this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> but not in another <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> while preserving duplicates.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.explain.html#pyspark.sql.DataFrame.explain" title="pyspark.sql.DataFrame.explain"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.explain</span></code></a>([extended, mode])</p></td> |
| <td><p>Prints the (logical and physical) plans to the console for debugging purposes.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.fillna.html#pyspark.sql.DataFrame.fillna" title="pyspark.sql.DataFrame.fillna"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.fillna</span></code></a>(value[, subset])</p></td> |
| <td><p>Replace null values, alias for <code class="docutils literal notranslate"><span class="pre">na.fill()</span></code>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.filter.html#pyspark.sql.DataFrame.filter" title="pyspark.sql.DataFrame.filter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.filter</span></code></a>(condition)</p></td> |
| <td><p>Filters rows using the given condition.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.first.html#pyspark.sql.DataFrame.first" title="pyspark.sql.DataFrame.first"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.first</span></code></a>()</p></td> |
| <td><p>Returns the first row as a <a class="reference internal" href="api/pyspark.sql.Row.html#pyspark.sql.Row" title="pyspark.sql.Row"><code class="xref py py-class docutils literal notranslate"><span class="pre">Row</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.foreach.html#pyspark.sql.DataFrame.foreach" title="pyspark.sql.DataFrame.foreach"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.foreach</span></code></a>(f)</p></td> |
| <td><p>Applies the <code class="docutils literal notranslate"><span class="pre">f</span></code> function to all <a class="reference internal" href="api/pyspark.sql.Row.html#pyspark.sql.Row" title="pyspark.sql.Row"><code class="xref py py-class docutils literal notranslate"><span class="pre">Row</span></code></a> of this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.foreachPartition.html#pyspark.sql.DataFrame.foreachPartition" title="pyspark.sql.DataFrame.foreachPartition"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.foreachPartition</span></code></a>(f)</p></td> |
| <td><p>Applies the <code class="docutils literal notranslate"><span class="pre">f</span></code> function to each partition of this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.freqItems.html#pyspark.sql.DataFrame.freqItems" title="pyspark.sql.DataFrame.freqItems"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.freqItems</span></code></a>(cols[, support])</p></td> |
| <td><p>Finding frequent items for columns, possibly with false positives.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.groupBy.html#pyspark.sql.DataFrame.groupBy" title="pyspark.sql.DataFrame.groupBy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.groupBy</span></code></a>(*cols)</p></td> |
| <td><p>Groups the <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> using the specified columns, so we can run aggregation on them.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.head.html#pyspark.sql.DataFrame.head" title="pyspark.sql.DataFrame.head"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.head</span></code></a>([n])</p></td> |
| <td><p>Returns the first <code class="docutils literal notranslate"><span class="pre">n</span></code> rows.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.hint.html#pyspark.sql.DataFrame.hint" title="pyspark.sql.DataFrame.hint"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.hint</span></code></a>(name, *parameters)</p></td> |
| <td><p>Specifies some hint on the current <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.inputFiles.html#pyspark.sql.DataFrame.inputFiles" title="pyspark.sql.DataFrame.inputFiles"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.inputFiles</span></code></a>()</p></td> |
| <td><p>Returns a best-effort snapshot of the files that compose this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.intersect.html#pyspark.sql.DataFrame.intersect" title="pyspark.sql.DataFrame.intersect"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.intersect</span></code></a>(other)</p></td> |
| <td><p>Return a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> containing rows only in both this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> and another <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.intersectAll.html#pyspark.sql.DataFrame.intersectAll" title="pyspark.sql.DataFrame.intersectAll"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.intersectAll</span></code></a>(other)</p></td> |
| <td><p>Return a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> containing rows in both this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> and another <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> while preserving duplicates.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.isEmpty.html#pyspark.sql.DataFrame.isEmpty" title="pyspark.sql.DataFrame.isEmpty"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.isEmpty</span></code></a>()</p></td> |
| <td><p>Checks if the <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> is empty and returns a boolean value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.isLocal.html#pyspark.sql.DataFrame.isLocal" title="pyspark.sql.DataFrame.isLocal"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.isLocal</span></code></a>()</p></td> |
| <td><p>Returns <code class="docutils literal notranslate"><span class="pre">True</span></code> if the <code class="xref py py-func docutils literal notranslate"><span class="pre">collect()</span></code> and <code class="xref py py-func docutils literal notranslate"><span class="pre">take()</span></code> methods can be run locally (without any Spark executors).</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.isStreaming.html#pyspark.sql.DataFrame.isStreaming" title="pyspark.sql.DataFrame.isStreaming"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.isStreaming</span></code></a></p></td> |
| <td><p>Returns <code class="docutils literal notranslate"><span class="pre">True</span></code> if this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> contains one or more sources that continuously return data as it arrives.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.join.html#pyspark.sql.DataFrame.join" title="pyspark.sql.DataFrame.join"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.join</span></code></a>(other[, on, how])</p></td> |
| <td><p>Joins with another <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>, using the given join expression.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.limit.html#pyspark.sql.DataFrame.limit" title="pyspark.sql.DataFrame.limit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.limit</span></code></a>(num)</p></td> |
| <td><p>Limits the result count to the number specified.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.localCheckpoint.html#pyspark.sql.DataFrame.localCheckpoint" title="pyspark.sql.DataFrame.localCheckpoint"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.localCheckpoint</span></code></a>([eager])</p></td> |
| <td><p>Returns a locally checkpointed version of this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.mapInPandas.html#pyspark.sql.DataFrame.mapInPandas" title="pyspark.sql.DataFrame.mapInPandas"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.mapInPandas</span></code></a>(func, schema[, barrier])</p></td> |
| <td><p>Maps an iterator of batches in the current <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> using a Python native function that takes and outputs a pandas DataFrame, and returns the result as a <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.mapInArrow.html#pyspark.sql.DataFrame.mapInArrow" title="pyspark.sql.DataFrame.mapInArrow"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.mapInArrow</span></code></a>(func, schema[, barrier])</p></td> |
| <td><p>Maps an iterator of batches in the current <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> using a Python native function that takes and outputs a PyArrow’s <cite>RecordBatch</cite>, and returns the result as a <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.melt.html#pyspark.sql.DataFrame.melt" title="pyspark.sql.DataFrame.melt"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.melt</span></code></a>(ids, values, …)</p></td> |
| <td><p>Unpivot a DataFrame from wide format to long format, optionally leaving identifier columns set.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.na.html#pyspark.sql.DataFrame.na" title="pyspark.sql.DataFrame.na"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.na</span></code></a></p></td> |
| <td><p>Returns a <a class="reference internal" href="api/pyspark.sql.DataFrameNaFunctions.html#pyspark.sql.DataFrameNaFunctions" title="pyspark.sql.DataFrameNaFunctions"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrameNaFunctions</span></code></a> for handling missing values.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.observe.html#pyspark.sql.DataFrame.observe" title="pyspark.sql.DataFrame.observe"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.observe</span></code></a>(observation, *exprs)</p></td> |
| <td><p>Define (named) metrics to observe on the DataFrame.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.offset.html#pyspark.sql.DataFrame.offset" title="pyspark.sql.DataFrame.offset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.offset</span></code></a>(num)</p></td> |
| <td><p>Returns a new :class: <cite>DataFrame</cite> by skipping the first <cite>n</cite> rows.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.orderBy.html#pyspark.sql.DataFrame.orderBy" title="pyspark.sql.DataFrame.orderBy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.orderBy</span></code></a>(*cols, **kwargs)</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> sorted by the specified column(s).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.persist.html#pyspark.sql.DataFrame.persist" title="pyspark.sql.DataFrame.persist"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.persist</span></code></a>([storageLevel])</p></td> |
| <td><p>Sets the storage level to persist the contents of the <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> across operations after the first time it is computed.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.printSchema.html#pyspark.sql.DataFrame.printSchema" title="pyspark.sql.DataFrame.printSchema"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.printSchema</span></code></a>([level])</p></td> |
| <td><p>Prints out the schema in the tree format.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.randomSplit.html#pyspark.sql.DataFrame.randomSplit" title="pyspark.sql.DataFrame.randomSplit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.randomSplit</span></code></a>(weights[, seed])</p></td> |
| <td><p>Randomly splits this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> with the provided weights.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.rdd.html#pyspark.sql.DataFrame.rdd" title="pyspark.sql.DataFrame.rdd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.rdd</span></code></a></p></td> |
| <td><p>Returns the content as an <a class="reference internal" href="../api/pyspark.RDD.html#pyspark.RDD" title="pyspark.RDD"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyspark.RDD</span></code></a> of <a class="reference internal" href="api/pyspark.sql.Row.html#pyspark.sql.Row" title="pyspark.sql.Row"><code class="xref py py-class docutils literal notranslate"><span class="pre">Row</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.registerTempTable.html#pyspark.sql.DataFrame.registerTempTable" title="pyspark.sql.DataFrame.registerTempTable"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.registerTempTable</span></code></a>(name)</p></td> |
| <td><p>Registers this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> as a temporary table using the given name.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.repartition.html#pyspark.sql.DataFrame.repartition" title="pyspark.sql.DataFrame.repartition"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.repartition</span></code></a>(numPartitions, *cols)</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> partitioned by the given partitioning expressions.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.repartitionByRange.html#pyspark.sql.DataFrame.repartitionByRange" title="pyspark.sql.DataFrame.repartitionByRange"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.repartitionByRange</span></code></a>(numPartitions, …)</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> partitioned by the given partitioning expressions.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.replace.html#pyspark.sql.DataFrame.replace" title="pyspark.sql.DataFrame.replace"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.replace</span></code></a>(to_replace[, value, subset])</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> replacing a value with another value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.rollup.html#pyspark.sql.DataFrame.rollup" title="pyspark.sql.DataFrame.rollup"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.rollup</span></code></a>(*cols)</p></td> |
| <td><p>Create a multi-dimensional rollup for the current <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> using the specified columns, so we can run aggregation on them.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.sameSemantics.html#pyspark.sql.DataFrame.sameSemantics" title="pyspark.sql.DataFrame.sameSemantics"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.sameSemantics</span></code></a>(other)</p></td> |
| <td><p>Returns <cite>True</cite> when the logical query plans inside both <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>s are equal and therefore return the same results.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.sample.html#pyspark.sql.DataFrame.sample" title="pyspark.sql.DataFrame.sample"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.sample</span></code></a>([withReplacement, …])</p></td> |
| <td><p>Returns a sampled subset of this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.sampleBy.html#pyspark.sql.DataFrame.sampleBy" title="pyspark.sql.DataFrame.sampleBy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.sampleBy</span></code></a>(col, fractions[, seed])</p></td> |
| <td><p>Returns a stratified sample without replacement based on the fraction given on each stratum.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.schema.html#pyspark.sql.DataFrame.schema" title="pyspark.sql.DataFrame.schema"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.schema</span></code></a></p></td> |
| <td><p>Returns the schema of this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> as a <a class="reference internal" href="api/pyspark.sql.types.StructType.html#pyspark.sql.types.StructType" title="pyspark.sql.types.StructType"><code class="xref py py-class docutils literal notranslate"><span class="pre">pyspark.sql.types.StructType</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.select.html#pyspark.sql.DataFrame.select" title="pyspark.sql.DataFrame.select"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.select</span></code></a>(*cols)</p></td> |
| <td><p>Projects a set of expressions and returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.selectExpr.html#pyspark.sql.DataFrame.selectExpr" title="pyspark.sql.DataFrame.selectExpr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.selectExpr</span></code></a>(*expr)</p></td> |
| <td><p>Projects a set of SQL expressions and returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.semanticHash.html#pyspark.sql.DataFrame.semanticHash" title="pyspark.sql.DataFrame.semanticHash"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.semanticHash</span></code></a>()</p></td> |
| <td><p>Returns a hash code of the logical query plan against this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.show.html#pyspark.sql.DataFrame.show" title="pyspark.sql.DataFrame.show"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.show</span></code></a>([n, truncate, vertical])</p></td> |
| <td><p>Prints the first <code class="docutils literal notranslate"><span class="pre">n</span></code> rows to the console.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.sort.html#pyspark.sql.DataFrame.sort" title="pyspark.sql.DataFrame.sort"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.sort</span></code></a>(*cols, **kwargs)</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> sorted by the specified column(s).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.sortWithinPartitions.html#pyspark.sql.DataFrame.sortWithinPartitions" title="pyspark.sql.DataFrame.sortWithinPartitions"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.sortWithinPartitions</span></code></a>(*cols, **kwargs)</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> with each partition sorted by the specified column(s).</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.sparkSession.html#pyspark.sql.DataFrame.sparkSession" title="pyspark.sql.DataFrame.sparkSession"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.sparkSession</span></code></a></p></td> |
| <td><p>Returns Spark session that created this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.stat.html#pyspark.sql.DataFrame.stat" title="pyspark.sql.DataFrame.stat"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.stat</span></code></a></p></td> |
| <td><p>Returns a <a class="reference internal" href="api/pyspark.sql.DataFrameStatFunctions.html#pyspark.sql.DataFrameStatFunctions" title="pyspark.sql.DataFrameStatFunctions"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrameStatFunctions</span></code></a> for statistic functions.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.storageLevel.html#pyspark.sql.DataFrame.storageLevel" title="pyspark.sql.DataFrame.storageLevel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.storageLevel</span></code></a></p></td> |
| <td><p>Get the <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>’s current storage level.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.subtract.html#pyspark.sql.DataFrame.subtract" title="pyspark.sql.DataFrame.subtract"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.subtract</span></code></a>(other)</p></td> |
| <td><p>Return a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> containing rows in this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> but not in another <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.summary.html#pyspark.sql.DataFrame.summary" title="pyspark.sql.DataFrame.summary"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.summary</span></code></a>(*statistics)</p></td> |
| <td><p>Computes specified statistics for numeric and string columns.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.tail.html#pyspark.sql.DataFrame.tail" title="pyspark.sql.DataFrame.tail"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.tail</span></code></a>(num)</p></td> |
| <td><p>Returns the last <code class="docutils literal notranslate"><span class="pre">num</span></code> rows as a <code class="xref py py-class docutils literal notranslate"><span class="pre">list</span></code> of <a class="reference internal" href="api/pyspark.sql.Row.html#pyspark.sql.Row" title="pyspark.sql.Row"><code class="xref py py-class docutils literal notranslate"><span class="pre">Row</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.take.html#pyspark.sql.DataFrame.take" title="pyspark.sql.DataFrame.take"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.take</span></code></a>(num)</p></td> |
| <td><p>Returns the first <code class="docutils literal notranslate"><span class="pre">num</span></code> rows as a <code class="xref py py-class docutils literal notranslate"><span class="pre">list</span></code> of <a class="reference internal" href="api/pyspark.sql.Row.html#pyspark.sql.Row" title="pyspark.sql.Row"><code class="xref py py-class docutils literal notranslate"><span class="pre">Row</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.to.html#pyspark.sql.DataFrame.to" title="pyspark.sql.DataFrame.to"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.to</span></code></a>(schema)</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> where each row is reconciled to match the specified schema.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.toDF.html#pyspark.sql.DataFrame.toDF" title="pyspark.sql.DataFrame.toDF"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.toDF</span></code></a>(*cols)</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> that with new specified column names</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.toJSON.html#pyspark.sql.DataFrame.toJSON" title="pyspark.sql.DataFrame.toJSON"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.toJSON</span></code></a>([use_unicode])</p></td> |
| <td><p>Converts a <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> into a <code class="xref py py-class docutils literal notranslate"><span class="pre">RDD</span></code> of string.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.toLocalIterator.html#pyspark.sql.DataFrame.toLocalIterator" title="pyspark.sql.DataFrame.toLocalIterator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.toLocalIterator</span></code></a>([prefetchPartitions])</p></td> |
| <td><p>Returns an iterator that contains all of the rows in this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.toPandas.html#pyspark.sql.DataFrame.toPandas" title="pyspark.sql.DataFrame.toPandas"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.toPandas</span></code></a>()</p></td> |
| <td><p>Returns the contents of this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> as Pandas <code class="docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.to_pandas_on_spark.html#pyspark.sql.DataFrame.to_pandas_on_spark" title="pyspark.sql.DataFrame.to_pandas_on_spark"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.to_pandas_on_spark</span></code></a>([index_col])</p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.transform.html#pyspark.sql.DataFrame.transform" title="pyspark.sql.DataFrame.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.transform</span></code></a>(func, *args, **kwargs)</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.union.html#pyspark.sql.DataFrame.union" title="pyspark.sql.DataFrame.union"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.union</span></code></a>(other)</p></td> |
| <td><p>Return a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> containing the union of rows in this and another <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.unionAll.html#pyspark.sql.DataFrame.unionAll" title="pyspark.sql.DataFrame.unionAll"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.unionAll</span></code></a>(other)</p></td> |
| <td><p>Return a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> containing the union of rows in this and another <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.unionByName.html#pyspark.sql.DataFrame.unionByName" title="pyspark.sql.DataFrame.unionByName"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.unionByName</span></code></a>(other[, …])</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> containing union of rows in this and another <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.unpersist.html#pyspark.sql.DataFrame.unpersist" title="pyspark.sql.DataFrame.unpersist"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.unpersist</span></code></a>([blocking])</p></td> |
| <td><p>Marks the <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> as non-persistent, and remove all blocks for it from memory and disk.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.unpivot.html#pyspark.sql.DataFrame.unpivot" title="pyspark.sql.DataFrame.unpivot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.unpivot</span></code></a>(ids, values, …)</p></td> |
| <td><p>Unpivot a DataFrame from wide format to long format, optionally leaving identifier columns set.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.where.html#pyspark.sql.DataFrame.where" title="pyspark.sql.DataFrame.where"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.where</span></code></a>(condition)</p></td> |
| <td><p><code class="xref py py-func docutils literal notranslate"><span class="pre">where()</span></code> is an alias for <code class="xref py py-func docutils literal notranslate"><span class="pre">filter()</span></code>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.withColumn.html#pyspark.sql.DataFrame.withColumn" title="pyspark.sql.DataFrame.withColumn"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.withColumn</span></code></a>(colName, col)</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> by adding a column or replacing the existing column that has the same name.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.withColumns.html#pyspark.sql.DataFrame.withColumns" title="pyspark.sql.DataFrame.withColumns"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.withColumns</span></code></a>(*colsMap)</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> by adding multiple columns or replacing the existing columns that have the same names.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.withColumnRenamed.html#pyspark.sql.DataFrame.withColumnRenamed" title="pyspark.sql.DataFrame.withColumnRenamed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.withColumnRenamed</span></code></a>(existing, new)</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> by renaming an existing column.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.withColumnsRenamed.html#pyspark.sql.DataFrame.withColumnsRenamed" title="pyspark.sql.DataFrame.withColumnsRenamed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.withColumnsRenamed</span></code></a>(colsMap)</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> by renaming multiple columns.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.withMetadata.html#pyspark.sql.DataFrame.withMetadata" title="pyspark.sql.DataFrame.withMetadata"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.withMetadata</span></code></a>(columnName, metadata)</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> by updating an existing column with metadata.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.withWatermark.html#pyspark.sql.DataFrame.withWatermark" title="pyspark.sql.DataFrame.withWatermark"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.withWatermark</span></code></a>(eventTime, …)</p></td> |
| <td><p>Defines an event time watermark for this <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.write.html#pyspark.sql.DataFrame.write" title="pyspark.sql.DataFrame.write"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.write</span></code></a></p></td> |
| <td><p>Interface for saving the content of the non-streaming <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> out into external storage.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.writeStream.html#pyspark.sql.DataFrame.writeStream" title="pyspark.sql.DataFrame.writeStream"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.writeStream</span></code></a></p></td> |
| <td><p>Interface for saving the content of the streaming <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> out into external storage.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.writeTo.html#pyspark.sql.DataFrame.writeTo" title="pyspark.sql.DataFrame.writeTo"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.writeTo</span></code></a>(table)</p></td> |
| <td><p>Create a write configuration builder for v2 sources.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrame.pandas_api.html#pyspark.sql.DataFrame.pandas_api" title="pyspark.sql.DataFrame.pandas_api"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.pandas_api</span></code></a>([index_col])</p></td> |
| <td><p>Converts the existing DataFrame into a pandas-on-Spark DataFrame.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrameNaFunctions.drop.html#pyspark.sql.DataFrameNaFunctions.drop" title="pyspark.sql.DataFrameNaFunctions.drop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrameNaFunctions.drop</span></code></a>([how, thresh, subset])</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> omitting rows with null values.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrameNaFunctions.fill.html#pyspark.sql.DataFrameNaFunctions.fill" title="pyspark.sql.DataFrameNaFunctions.fill"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrameNaFunctions.fill</span></code></a>(value[, subset])</p></td> |
| <td><p>Replace null values, alias for <code class="docutils literal notranslate"><span class="pre">na.fill()</span></code>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrameNaFunctions.replace.html#pyspark.sql.DataFrameNaFunctions.replace" title="pyspark.sql.DataFrameNaFunctions.replace"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrameNaFunctions.replace</span></code></a>(to_replace[, …])</p></td> |
| <td><p>Returns a new <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> replacing a value with another value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrameStatFunctions.approxQuantile.html#pyspark.sql.DataFrameStatFunctions.approxQuantile" title="pyspark.sql.DataFrameStatFunctions.approxQuantile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrameStatFunctions.approxQuantile</span></code></a>(col, …)</p></td> |
| <td><p>Calculates the approximate quantiles of numerical columns of a <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a>.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrameStatFunctions.corr.html#pyspark.sql.DataFrameStatFunctions.corr" title="pyspark.sql.DataFrameStatFunctions.corr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrameStatFunctions.corr</span></code></a>(col1, col2[, method])</p></td> |
| <td><p>Calculates the correlation of two columns of a <a class="reference internal" href="api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame" title="pyspark.sql.DataFrame"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataFrame</span></code></a> as a double value.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrameStatFunctions.cov.html#pyspark.sql.DataFrameStatFunctions.cov" title="pyspark.sql.DataFrameStatFunctions.cov"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrameStatFunctions.cov</span></code></a>(col1, col2)</p></td> |
| <td><p>Calculate the sample covariance for the given columns, specified by their names, as a double value.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrameStatFunctions.crosstab.html#pyspark.sql.DataFrameStatFunctions.crosstab" title="pyspark.sql.DataFrameStatFunctions.crosstab"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrameStatFunctions.crosstab</span></code></a>(col1, col2)</p></td> |
| <td><p>Computes a pair-wise frequency table of the given columns.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrameStatFunctions.freqItems.html#pyspark.sql.DataFrameStatFunctions.freqItems" title="pyspark.sql.DataFrameStatFunctions.freqItems"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrameStatFunctions.freqItems</span></code></a>(cols[, support])</p></td> |
| <td><p>Finding frequent items for columns, possibly with false positives.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="api/pyspark.sql.DataFrameStatFunctions.sampleBy.html#pyspark.sql.DataFrameStatFunctions.sampleBy" title="pyspark.sql.DataFrameStatFunctions.sampleBy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrameStatFunctions.sampleBy</span></code></a>(col, fractions)</p></td> |
| <td><p>Returns a stratified sample without replacement based on the fraction given on each stratum.</p></td> |
| </tr> |
| </tbody> |
| </table> |
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