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 have a similar interface to record batches, but they can be
 composed from multiple record batches or chunked arrays."><meta property="og:description" content="A Table is a sequence of chunked arrays. They
 have a similar interface to record batches, but they can be
 composed from multiple record batches or chunked arrays."><meta property="og:image" content="https://arrow.apache.org/img/arrow-logo_horizontal_black-txt_white-bg.png"><meta property="og:image:alt" content="Apache Arrow logo, displaying the triple chevron image adjacent to the text"><!-- Matomo --><script>
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       <h1>Table class</h1>
       <small class="dont-index">Source: <a href="https://github.com/apache/arrow/blob/main/r/R/table.R" class="external-link"><code>R/table.R</code></a></small>
       <div class="d-none name"><code>Table-class.Rd</code></div>
     </div>

     <div class="ref-description section level2">
     <p>A Table is a sequence of <a href="ChunkedArray-class.html">chunked arrays</a>. They
 have a similar interface to <a href="RecordBatch-class.html">record batches</a>, but they can be
 composed from multiple record batches or chunked arrays.</p>
     </div>


     <div class="section level2">
     <h2 id="s-methods-and-usage">S3 Methods and Usage<a class="anchor" aria-label="anchor" href="#s-methods-and-usage"></a></h2>


 <p>Tables are data-frame-like, and many methods you expect to work on
 a <code>data.frame</code> are implemented for <code>Table</code>. This includes <code>[</code>, <code>[[</code>,
 <code>$</code>, <code>names</code>, <code>dim</code>, <code>nrow</code>, <code>ncol</code>, <code>head</code>, and <code>tail</code>. You can also pull
 the data from an Arrow table into R with <code><a href="https://rdrr.io/r/base/as.data.frame.html" class="external-link">as.data.frame()</a></code>. See the
 examples.</p>
 <p>A caveat about the <code>$</code> method: because <code>Table</code> is an <code>R6</code> object,
 <code>$</code> is also used to access the object's methods (see below). Methods take
 precedence over the table's columns. So, <code>tab$Slice</code> would return the
 "Slice" method function even if there were a column in the table called
 "Slice".</p>
     </div>
     <div class="section level2">
     <h2 id="r-methods">R6 Methods<a class="anchor" aria-label="anchor" href="#r-methods"></a></h2>


 <p>In addition to the more R-friendly S3 methods, a <code>Table</code> object has
 the following R6 methods that map onto the underlying C++ methods:</p><ul><li><p><code>$column(i)</code>: Extract a <code>ChunkedArray</code> by integer position from the table</p></li>
 <li><p><code>$ColumnNames()</code>: Get all column names (called by <code>names(tab)</code>)</p></li>
 <li><p><code>$nbytes()</code>: Total number of bytes consumed by the elements of the table</p></li>
 <li><p><code>$RenameColumns(value)</code>: Set all column names (called by <code>names(tab) &lt;- value</code>)</p></li>
 <li><p><code>$GetColumnByName(name)</code>: Extract a <code>ChunkedArray</code> by string name</p></li>
 <li><p><code>$field(i)</code>: Extract a <code>Field</code> from the table schema by integer position</p></li>
 <li><p><code>$SelectColumns(indices)</code>: Return new <code>Table</code> with specified columns, expressed as 0-based integers.</p></li>
 <li><p><code>$Slice(offset, length = NULL)</code>: Create a zero-copy view starting at the
 indicated integer offset and going for the given length, or to the end
 of the table if <code>NULL</code>, the default.</p></li>
 <li><p><code>$Take(i)</code>: return an <code>Table</code> with rows at positions given by
 integers <code>i</code>. If <code>i</code> is an Arrow <code>Array</code> or <code>ChunkedArray</code>, it will be
 coerced to an R vector before taking.</p></li>
 <li><p><code>$Filter(i, keep_na = TRUE)</code>: return an <code>Table</code> with rows at positions where logical
 vector or Arrow boolean-type <code>(Chunked)Array</code> <code>i</code> is <code>TRUE</code>.</p></li>
 <li><p><code>$SortIndices(names, descending = FALSE)</code>: return an <code>Array</code> of integer row
 positions that can be used to rearrange the <code>Table</code> in ascending or descending
 order by the first named column, breaking ties with further named columns.
 <code>descending</code> can be a logical vector of length one or of the same length as
 <code>names</code>.</p></li>
 <li><p><code>$serialize(output_stream, ...)</code>: Write the table to the given
 <a href="OutputStream.html">OutputStream</a></p></li>
 <li><p><code>$cast(target_schema, safe = TRUE, options = cast_options(safe))</code>: Alter
 the schema of the record batch.</p></li>
 </ul><p>There are also some active bindings:</p><ul><li><p><code>$num_columns</code></p></li>
 <li><p><code>$num_rows</code></p></li>
 <li><p><code>$schema</code></p></li>
 <li><p><code>$metadata</code>: Returns the key-value metadata of the <code>Schema</code> as a named list.
 Modify or replace by assigning in (<code>tab$metadata &lt;- new_metadata</code>).
 All list elements are coerced to string. See <code><a href="schema.html">schema()</a></code> for more information.</p></li>
 <li><p><code>$columns</code>: Returns a list of <code>ChunkedArray</code>s</p></li>
 </ul></div>

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	have a similar interface to record batches, but they can be
	composed from multiple record batches or chunked arrays."><meta property="og:description" content="A Table is a sequence of chunked arrays. They
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	<main id="main" class="col-md-9"><div class="page-header">

	<h1>Table class</h1>
	<small class="dont-index">Source: <a href="https://github.com/apache/arrow/blob/main/r/R/table.R" class="external-link"><code>R/table.R</code></a></small>
	<div class="d-none name"><code>Table-class.Rd</code></div>
	</div>

	<div class="ref-description section level2">
	<p>A Table is a sequence of <a href="ChunkedArray-class.html">chunked arrays</a>. They
	have a similar interface to <a href="RecordBatch-class.html">record batches</a>, but they can be
	composed from multiple record batches or chunked arrays.</p>
	</div>


	<div class="section level2">
	<h2 id="s-methods-and-usage">S3 Methods and Usage<a class="anchor" aria-label="anchor" href="#s-methods-and-usage"></a></h2>


	<p>Tables are data-frame-like, and many methods you expect to work on
	a <code>data.frame</code> are implemented for <code>Table</code>. This includes <code>[</code>, <code>[[</code>,
	<code>$</code>, <code>names</code>, <code>dim</code>, <code>nrow</code>, <code>ncol</code>, <code>head</code>, and <code>tail</code>. You can also pull
	the data from an Arrow table into R with <code><a href="https://rdrr.io/r/base/as.data.frame.html" class="external-link">as.data.frame()</a></code>. See the
	examples.</p>
	<p>A caveat about the <code>$</code> method: because <code>Table</code> is an <code>R6</code> object,
	<code>$</code> is also used to access the object's methods (see below). Methods take
	precedence over the table's columns. So, <code>tab$Slice</code> would return the
	"Slice" method function even if there were a column in the table called
	"Slice".</p>
	</div>
	<div class="section level2">
	<h2 id="r-methods">R6 Methods<a class="anchor" aria-label="anchor" href="#r-methods"></a></h2>


	<p>In addition to the more R-friendly S3 methods, a <code>Table</code> object has
	the following R6 methods that map onto the underlying C++ methods:</p><ul><li><p><code>$column(i)</code>: Extract a <code>ChunkedArray</code> by integer position from the table</p></li>
	<li><p><code>$ColumnNames()</code>: Get all column names (called by <code>names(tab)</code>)</p></li>
	<li><p><code>$nbytes()</code>: Total number of bytes consumed by the elements of the table</p></li>
	<li><p><code>$RenameColumns(value)</code>: Set all column names (called by <code>names(tab) <- value</code>)</p></li>
	<li><p><code>$GetColumnByName(name)</code>: Extract a <code>ChunkedArray</code> by string name</p></li>
	<li><p><code>$field(i)</code>: Extract a <code>Field</code> from the table schema by integer position</p></li>
	<li><p><code>$SelectColumns(indices)</code>: Return new <code>Table</code> with specified columns, expressed as 0-based integers.</p></li>
	<li><p><code>$Slice(offset, length = NULL)</code>: Create a zero-copy view starting at the
	indicated integer offset and going for the given length, or to the end
	of the table if <code>NULL</code>, the default.</p></li>
	<li><p><code>$Take(i)</code>: return an <code>Table</code> with rows at positions given by
	integers <code>i</code>. If <code>i</code> is an Arrow <code>Array</code> or <code>ChunkedArray</code>, it will be
	coerced to an R vector before taking.</p></li>
	<li><p><code>$Filter(i, keep_na = TRUE)</code>: return an <code>Table</code> with rows at positions where logical
	vector or Arrow boolean-type <code>(Chunked)Array</code> <code>i</code> is <code>TRUE</code>.</p></li>
	<li><p><code>$SortIndices(names, descending = FALSE)</code>: return an <code>Array</code> of integer row
	positions that can be used to rearrange the <code>Table</code> in ascending or descending
	order by the first named column, breaking ties with further named columns.
	<code>descending</code> can be a logical vector of length one or of the same length as
	<code>names</code>.</p></li>
	<li><p><code>$serialize(output_stream, ...)</code>: Write the table to the given
	<a href="OutputStream.html">OutputStream</a></p></li>
	<li><p><code>$cast(target_schema, safe = TRUE, options = cast_options(safe))</code>: Alter
	the schema of the record batch.</p></li>
	</ul><p>There are also some active bindings:</p><ul><li><p><code>$num_columns</code></p></li>
	<li><p><code>$num_rows</code></p></li>
	<li><p><code>$schema</code></p></li>
	<li><p><code>$metadata</code>: Returns the key-value metadata of the <code>Schema</code> as a named list.
	Modify or replace by assigning in (<code>tab$metadata <- new_metadata</code>).
	All list elements are coerced to string. See <code><a href="schema.html">schema()</a></code> for more information.</p></li>
	<li><p><code>$columns</code>: Returns a list of <code>ChunkedArray</code>s</p></li>
	</ul></div>

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