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| |
| <h1>Open a multi-file dataset of CSV or other delimiter-separated format</h1> |
| <small class="dont-index">Source: <a href="https://github.com/apache/arrow/blob/main/r/R/dataset.R" class="external-link"><code>R/dataset.R</code></a></small> |
| <div class="d-none name"><code>open_delim_dataset.Rd</code></div> |
| </div> |
| |
| <div class="ref-description section level2"> |
| <p>A wrapper around <a href="open_dataset.html">open_dataset</a> which explicitly includes parameters mirroring <code><a href="read_delim_arrow.html">read_csv_arrow()</a></code>, |
| <code><a href="read_delim_arrow.html">read_delim_arrow()</a></code>, and <code><a href="read_delim_arrow.html">read_tsv_arrow()</a></code> to allow for easy switching between functions |
| for opening single files and functions for opening datasets.</p> |
| </div> |
| |
| <div class="section level2"> |
| <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2> |
| <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">open_delim_dataset</span><span class="op">(</span></span> |
| <span> <span class="va">sources</span>,</span> |
| <span> schema <span class="op">=</span> <span class="cn">NULL</span>,</span> |
| <span> partitioning <span class="op">=</span> <span class="fu"><a href="hive_partition.html">hive_partition</a></span><span class="op">(</span><span class="op">)</span>,</span> |
| <span> hive_style <span class="op">=</span> <span class="cn">NA</span>,</span> |
| <span> unify_schemas <span class="op">=</span> <span class="cn">NULL</span>,</span> |
| <span> factory_options <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span>,</span> |
| <span> delim <span class="op">=</span> <span class="st">","</span>,</span> |
| <span> quote <span class="op">=</span> <span class="st">"\""</span>,</span> |
| <span> escape_double <span class="op">=</span> <span class="cn">TRUE</span>,</span> |
| <span> escape_backslash <span class="op">=</span> <span class="cn">FALSE</span>,</span> |
| <span> col_names <span class="op">=</span> <span class="cn">TRUE</span>,</span> |
| <span> col_types <span class="op">=</span> <span class="cn">NULL</span>,</span> |
| <span> na <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">""</span>, <span class="st">"NA"</span><span class="op">)</span>,</span> |
| <span> skip_empty_rows <span class="op">=</span> <span class="cn">TRUE</span>,</span> |
| <span> skip <span class="op">=</span> <span class="fl">0L</span>,</span> |
| <span> convert_options <span class="op">=</span> <span class="cn">NULL</span>,</span> |
| <span> read_options <span class="op">=</span> <span class="cn">NULL</span>,</span> |
| <span> timestamp_parsers <span class="op">=</span> <span class="cn">NULL</span>,</span> |
| <span> quoted_na <span class="op">=</span> <span class="cn">TRUE</span>,</span> |
| <span> parse_options <span class="op">=</span> <span class="cn">NULL</span></span> |
| <span><span class="op">)</span></span> |
| <span></span> |
| <span><span class="fu">open_csv_dataset</span><span class="op">(</span></span> |
| <span> <span class="va">sources</span>,</span> |
| <span> schema <span class="op">=</span> <span class="cn">NULL</span>,</span> |
| <span> partitioning <span class="op">=</span> <span class="fu"><a href="hive_partition.html">hive_partition</a></span><span class="op">(</span><span class="op">)</span>,</span> |
| <span> hive_style <span class="op">=</span> <span class="cn">NA</span>,</span> |
| <span> unify_schemas <span class="op">=</span> <span class="cn">NULL</span>,</span> |
| <span> factory_options <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span>,</span> |
| <span> quote <span class="op">=</span> <span class="st">"\""</span>,</span> |
| <span> escape_double <span class="op">=</span> <span class="cn">TRUE</span>,</span> |
| <span> escape_backslash <span class="op">=</span> <span class="cn">FALSE</span>,</span> |
| <span> col_names <span class="op">=</span> <span class="cn">TRUE</span>,</span> |
| <span> col_types <span class="op">=</span> <span class="cn">NULL</span>,</span> |
| <span> na <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">""</span>, <span class="st">"NA"</span><span class="op">)</span>,</span> |
| <span> skip_empty_rows <span class="op">=</span> <span class="cn">TRUE</span>,</span> |
| <span> skip <span class="op">=</span> <span class="fl">0L</span>,</span> |
| <span> convert_options <span class="op">=</span> <span class="cn">NULL</span>,</span> |
| <span> read_options <span class="op">=</span> <span class="cn">NULL</span>,</span> |
| <span> timestamp_parsers <span class="op">=</span> <span class="cn">NULL</span>,</span> |
| <span> quoted_na <span class="op">=</span> <span class="cn">TRUE</span>,</span> |
| <span> parse_options <span class="op">=</span> <span class="cn">NULL</span></span> |
| <span><span class="op">)</span></span> |
| <span></span> |
| <span><span class="fu">open_tsv_dataset</span><span class="op">(</span></span> |
| <span> <span class="va">sources</span>,</span> |
| <span> schema <span class="op">=</span> <span class="cn">NULL</span>,</span> |
| <span> partitioning <span class="op">=</span> <span class="fu"><a href="hive_partition.html">hive_partition</a></span><span class="op">(</span><span class="op">)</span>,</span> |
| <span> hive_style <span class="op">=</span> <span class="cn">NA</span>,</span> |
| <span> unify_schemas <span class="op">=</span> <span class="cn">NULL</span>,</span> |
| <span> factory_options <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span>,</span> |
| <span> quote <span class="op">=</span> <span class="st">"\""</span>,</span> |
| <span> escape_double <span class="op">=</span> <span class="cn">TRUE</span>,</span> |
| <span> escape_backslash <span class="op">=</span> <span class="cn">FALSE</span>,</span> |
| <span> col_names <span class="op">=</span> <span class="cn">TRUE</span>,</span> |
| <span> col_types <span class="op">=</span> <span class="cn">NULL</span>,</span> |
| <span> na <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">""</span>, <span class="st">"NA"</span><span class="op">)</span>,</span> |
| <span> skip_empty_rows <span class="op">=</span> <span class="cn">TRUE</span>,</span> |
| <span> skip <span class="op">=</span> <span class="fl">0L</span>,</span> |
| <span> convert_options <span class="op">=</span> <span class="cn">NULL</span>,</span> |
| <span> read_options <span class="op">=</span> <span class="cn">NULL</span>,</span> |
| <span> timestamp_parsers <span class="op">=</span> <span class="cn">NULL</span>,</span> |
| <span> quoted_na <span class="op">=</span> <span class="cn">TRUE</span>,</span> |
| <span> parse_options <span class="op">=</span> <span class="cn">NULL</span></span> |
| <span><span class="op">)</span></span></code></pre></div> |
| </div> |
| |
| <div class="section level2"> |
| <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2> |
| |
| |
| <dl><dt id="arg-sources">sources<a class="anchor" aria-label="anchor" href="#arg-sources"></a></dt> |
| <dd><p>One of:</p><ul><li><p>a string path or URI to a directory containing data files</p></li> |
| <li><p>a <a href="FileSystem.html">FileSystem</a> that references a directory containing data files |
| (such as what is returned by <code><a href="s3_bucket.html">s3_bucket()</a></code>)</p></li> |
| <li><p>a string path or URI to a single file</p></li> |
| <li><p>a character vector of paths or URIs to individual data files</p></li> |
| <li><p>a list of <code>Dataset</code> objects as created by this function</p></li> |
| <li><p>a list of <code>DatasetFactory</code> objects as created by <code><a href="dataset_factory.html">dataset_factory()</a></code>.</p></li> |
| </ul><p>When <code>sources</code> is a vector of file URIs, they must all use the same protocol |
| and point to files located in the same file system and having the same |
| format.</p></dd> |
| |
| |
| <dt id="arg-schema">schema<a class="anchor" aria-label="anchor" href="#arg-schema"></a></dt> |
| <dd><p><a href="Schema-class.html">Schema</a> for the <code>Dataset</code>. If <code>NULL</code> (the default), the schema |
| will be inferred from the data sources.</p></dd> |
| |
| |
| <dt id="arg-partitioning">partitioning<a class="anchor" aria-label="anchor" href="#arg-partitioning"></a></dt> |
| <dd><p>When <code>sources</code> is a directory path/URI, one of:</p><ul><li><p>a <code>Schema</code>, in which case the file paths relative to <code>sources</code> will be |
| parsed, and path segments will be matched with the schema fields.</p></li> |
| <li><p>a character vector that defines the field names corresponding to those |
| path segments (that is, you're providing the names that would correspond |
| to a <code>Schema</code> but the types will be autodetected)</p></li> |
| <li><p>a <code>Partitioning</code> or <code>PartitioningFactory</code>, such as returned |
| by <code><a href="hive_partition.html">hive_partition()</a></code></p></li> |
| <li><p><code>NULL</code> for no partitioning</p></li> |
| </ul><p>The default is to autodetect Hive-style partitions unless |
| <code>hive_style = FALSE</code>. See the "Partitioning" section for details. |
| When <code>sources</code> is not a directory path/URI, <code>partitioning</code> is ignored.</p></dd> |
| |
| |
| <dt id="arg-hive-style">hive_style<a class="anchor" aria-label="anchor" href="#arg-hive-style"></a></dt> |
| <dd><p>Logical: should <code>partitioning</code> be interpreted as |
| Hive-style? Default is <code>NA</code>, which means to inspect the file paths for |
| Hive-style partitioning and behave accordingly.</p></dd> |
| |
| |
| <dt id="arg-unify-schemas">unify_schemas<a class="anchor" aria-label="anchor" href="#arg-unify-schemas"></a></dt> |
| <dd><p>logical: should all data fragments (files, <code>Dataset</code>s) |
| be scanned in order to create a unified schema from them? If <code>FALSE</code>, only |
| the first fragment will be inspected for its schema. Use this fast path |
| when you know and trust that all fragments have an identical schema. |
| The default is <code>FALSE</code> when creating a dataset from a directory path/URI or |
| vector of file paths/URIs (because there may be many files and scanning may |
| be slow) but <code>TRUE</code> when <code>sources</code> is a list of <code>Dataset</code>s (because there |
| should be few <code>Dataset</code>s in the list and their <code>Schema</code>s are already in |
| memory).</p></dd> |
| |
| |
| <dt id="arg-factory-options">factory_options<a class="anchor" aria-label="anchor" href="#arg-factory-options"></a></dt> |
| <dd><p>list of optional FileSystemFactoryOptions:</p><ul><li><p><code>partition_base_dir</code>: string path segment prefix to ignore when |
| discovering partition information with DirectoryPartitioning. Not |
| meaningful (ignored with a warning) for HivePartitioning, nor is it |
| valid when providing a vector of file paths.</p></li> |
| <li><p><code>exclude_invalid_files</code>: logical: should files that are not valid data |
| files be excluded? Default is <code>FALSE</code> because checking all files up |
| front incurs I/O and thus will be slower, especially on remote |
| filesystems. If false and there are invalid files, there will be an |
| error at scan time. This is the only FileSystemFactoryOption that is |
| valid for both when providing a directory path in which to discover |
| files and when providing a vector of file paths.</p></li> |
| <li><p><code>selector_ignore_prefixes</code>: character vector of file prefixes to ignore |
| when discovering files in a directory. If invalid files can be excluded |
| by a common filename prefix this way, you can avoid the I/O cost of |
| <code>exclude_invalid_files</code>. Not valid when providing a vector of file paths |
| (but if you're providing the file list, you can filter invalid files |
| yourself).</p></li> |
| </ul></dd> |
| |
| |
| <dt id="arg-delim">delim<a class="anchor" aria-label="anchor" href="#arg-delim"></a></dt> |
| <dd><p>Single character used to separate fields within a record.</p></dd> |
| |
| |
| <dt id="arg-quote">quote<a class="anchor" aria-label="anchor" href="#arg-quote"></a></dt> |
| <dd><p>Single character used to quote strings.</p></dd> |
| |
| |
| <dt id="arg-escape-double">escape_double<a class="anchor" aria-label="anchor" href="#arg-escape-double"></a></dt> |
| <dd><p>Does the file escape quotes by doubling them? |
| i.e. If this option is <code>TRUE</code>, the value <code>""""</code> represents |
| a single quote, <code>\"</code>.</p></dd> |
| |
| |
| <dt id="arg-escape-backslash">escape_backslash<a class="anchor" aria-label="anchor" href="#arg-escape-backslash"></a></dt> |
| <dd><p>Does the file use backslashes to escape special |
| characters? This is more general than <code>escape_double</code> as backslashes |
| can be used to escape the delimiter character, the quote character, or |
| to add special characters like <code>\\n</code>.</p></dd> |
| |
| |
| <dt id="arg-col-names">col_names<a class="anchor" aria-label="anchor" href="#arg-col-names"></a></dt> |
| <dd><p>If <code>TRUE</code>, the first row of the input will be used as the |
| column names and will not be included in the data frame. If <code>FALSE</code>, column |
| names will be generated by Arrow, starting with "f0", "f1", ..., "fN". |
| Alternatively, you can specify a character vector of column names.</p></dd> |
| |
| |
| <dt id="arg-col-types">col_types<a class="anchor" aria-label="anchor" href="#arg-col-types"></a></dt> |
| <dd><p>A compact string representation of the column types, |
| an Arrow <a href="Schema-class.html">Schema</a>, or <code>NULL</code> (the default) to infer types from the data.</p></dd> |
| |
| |
| <dt id="arg-na">na<a class="anchor" aria-label="anchor" href="#arg-na"></a></dt> |
| <dd><p>A character vector of strings to interpret as missing values.</p></dd> |
| |
| |
| <dt id="arg-skip-empty-rows">skip_empty_rows<a class="anchor" aria-label="anchor" href="#arg-skip-empty-rows"></a></dt> |
| <dd><p>Should blank rows be ignored altogether? If |
| <code>TRUE</code>, blank rows will not be represented at all. If <code>FALSE</code>, they will be |
| filled with missings.</p></dd> |
| |
| |
| <dt id="arg-skip">skip<a class="anchor" aria-label="anchor" href="#arg-skip"></a></dt> |
| <dd><p>Number of lines to skip before reading data.</p></dd> |
| |
| |
| <dt id="arg-convert-options">convert_options<a class="anchor" aria-label="anchor" href="#arg-convert-options"></a></dt> |
| <dd><p>see <a href="csv_convert_options.html">CSV conversion options</a></p></dd> |
| |
| |
| <dt id="arg-read-options">read_options<a class="anchor" aria-label="anchor" href="#arg-read-options"></a></dt> |
| <dd><p>see <a href="csv_read_options.html">CSV reading options</a></p></dd> |
| |
| |
| <dt id="arg-timestamp-parsers">timestamp_parsers<a class="anchor" aria-label="anchor" href="#arg-timestamp-parsers"></a></dt> |
| <dd><p>User-defined timestamp parsers. If more than one |
| parser is specified, the CSV conversion logic will try parsing values |
| starting from the beginning of this vector. Possible values are:</p><ul><li><p><code>NULL</code>: the default, which uses the ISO-8601 parser</p></li> |
| <li><p>a character vector of <a href="https://rdrr.io/r/base/strptime.html" class="external-link">strptime</a> parse strings</p></li> |
| <li><p>a list of <a href="CsvReadOptions.html">TimestampParser</a> objects</p></li> |
| </ul></dd> |
| |
| |
| <dt id="arg-quoted-na">quoted_na<a class="anchor" aria-label="anchor" href="#arg-quoted-na"></a></dt> |
| <dd><p>Should missing values inside quotes be treated as missing |
| values (the default) or strings. (Note that this is different from the |
| the Arrow C++ default for the corresponding convert option, |
| <code>strings_can_be_null</code>.)</p></dd> |
| |
| |
| <dt id="arg-parse-options">parse_options<a class="anchor" aria-label="anchor" href="#arg-parse-options"></a></dt> |
| <dd><p>see <a href="csv_parse_options.html">CSV parsing options</a>. |
| If given, this overrides any |
| parsing options provided in other arguments (e.g. <code>delim</code>, <code>quote</code>, etc.).</p></dd> |
| |
| </dl></div> |
| <div class="section level2"> |
| <h2 id="options-currently-supported-by-read-delim-arrow-which-are-not-supported-here">Options currently supported by <code><a href="read_delim_arrow.html">read_delim_arrow()</a></code> which are not supported here<a class="anchor" aria-label="anchor" href="#options-currently-supported-by-read-delim-arrow-which-are-not-supported-here"></a></h2> |
| |
| |
| <ul><li><p><code>file</code> (instead, please specify files in <code>sources</code>)</p></li> |
| <li><p><code>col_select</code> (instead, subset columns after dataset creation)</p></li> |
| <li><p><code>as_data_frame</code> (instead, convert to data frame after dataset creation)</p></li> |
| <li><p><code>parse_options</code></p></li> |
| </ul></div> |
| <div class="section level2"> |
| <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2> |
| <div class="dont-index"><p><code><a href="open_dataset.html">open_dataset()</a></code></p></div> |
| </div> |
| |
| <div class="section level2"> |
| <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2> |
| <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># Set up directory for examples</span></span></span> |
| <span class="r-in"><span><span class="va">tf</span> <span class="op"><-</span> <span class="fu"><a href="https://rdrr.io/r/base/tempfile.html" class="external-link">tempfile</a></span><span class="op">(</span><span class="op">)</span></span></span> |
| <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/files2.html" class="external-link">dir.create</a></span><span class="op">(</span><span class="va">tf</span><span class="op">)</span></span></span> |
| <span class="r-in"><span></span></span> |
| <span class="r-in"><span><span class="va">df</span> <span class="op"><-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"1"</span>, <span class="st">"2"</span>, <span class="st">"NULL"</span><span class="op">)</span><span class="op">)</span></span></span> |
| <span class="r-in"><span><span class="va">file_path</span> <span class="op"><-</span> <span class="fu"><a href="https://rdrr.io/r/base/file.path.html" class="external-link">file.path</a></span><span class="op">(</span><span class="va">tf</span>, <span class="st">"file1.txt"</span><span class="op">)</span></span></span> |
| <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/write.table.html" class="external-link">write.table</a></span><span class="op">(</span><span class="va">df</span>, <span class="va">file_path</span>, sep <span class="op">=</span> <span class="st">","</span>, row.names <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></span> |
| <span class="r-in"><span></span></span> |
| <span class="r-in"><span><span class="co"># Use readr-style params identically in both `read_csv_dataset()` and `open_csv_dataset()`</span></span></span> |
| <span class="r-in"><span><span class="fu"><a href="read_delim_arrow.html">read_csv_arrow</a></span><span class="op">(</span><span class="va">file_path</span>, na <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">""</span>, <span class="st">"NA"</span>, <span class="st">"NULL"</span><span class="op">)</span>, col_names <span class="op">=</span> <span class="st">"y"</span>, skip <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span></span> |
| <span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># A tibble: 3 x 1</span></span> |
| <span class="r-out co"><span class="r-pr">#></span> y</span> |
| <span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494; font-style: italic;"><int></span></span> |
| <span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">1</span> 1</span> |
| <span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">2</span> 2</span> |
| <span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">3</span> <span style="color: #BB0000;">NA</span></span> |
| <span class="r-in"><span><span class="fu">open_csv_dataset</span><span class="op">(</span><span class="va">file_path</span>, na <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">""</span>, <span class="st">"NA"</span>, <span class="st">"NULL"</span><span class="op">)</span>, col_names <span class="op">=</span> <span class="st">"y"</span>, skip <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span></span> |
| <span class="r-out co"><span class="r-pr">#></span> FileSystemDataset with 1 csv file</span> |
| <span class="r-out co"><span class="r-pr">#></span> 1 columns</span> |
| <span class="r-out co"><span class="r-pr">#></span> y: int64</span> |
| <span class="r-in"><span></span></span> |
| <span class="r-in"><span><span class="co"># Use `col_types` to specify a schema, partial schema, or compact representation</span></span></span> |
| <span class="r-in"><span><span class="va">tf2</span> <span class="op"><-</span> <span class="fu"><a href="https://rdrr.io/r/base/tempfile.html" class="external-link">tempfile</a></span><span class="op">(</span><span class="op">)</span></span></span> |
| <span class="r-in"><span><span class="fu"><a href="write_delim_dataset.html">write_csv_dataset</a></span><span class="op">(</span><span class="va">cars</span>, <span class="va">tf2</span><span class="op">)</span></span></span> |
| <span class="r-in"><span></span></span> |
| <span class="r-in"><span><span class="fu">open_csv_dataset</span><span class="op">(</span><span class="va">tf2</span>, col_types <span class="op">=</span> <span class="fu"><a href="schema.html">schema</a></span><span class="op">(</span>speed <span class="op">=</span> <span class="fu"><a href="data-type.html">int32</a></span><span class="op">(</span><span class="op">)</span>, dist <span class="op">=</span> <span class="fu"><a href="data-type.html">int32</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span> |
| <span class="r-out co"><span class="r-pr">#></span> FileSystemDataset with 1 csv file</span> |
| <span class="r-out co"><span class="r-pr">#></span> 2 columns</span> |
| <span class="r-out co"><span class="r-pr">#></span> speed: int32</span> |
| <span class="r-out co"><span class="r-pr">#></span> dist: int32</span> |
| <span class="r-in"><span><span class="fu">open_csv_dataset</span><span class="op">(</span><span class="va">tf2</span>, col_types <span class="op">=</span> <span class="fu"><a href="schema.html">schema</a></span><span class="op">(</span>speed <span class="op">=</span> <span class="fu"><a href="data-type.html">int32</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span> |
| <span class="r-out co"><span class="r-pr">#></span> FileSystemDataset with 1 csv file</span> |
| <span class="r-out co"><span class="r-pr">#></span> 2 columns</span> |
| <span class="r-out co"><span class="r-pr">#></span> speed: int32</span> |
| <span class="r-out co"><span class="r-pr">#></span> dist: int64</span> |
| <span class="r-in"><span><span class="fu">open_csv_dataset</span><span class="op">(</span><span class="va">tf2</span>, col_types <span class="op">=</span> <span class="st">"ii"</span>, col_names <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"speed"</span>, <span class="st">"dist"</span><span class="op">)</span>, skip <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span></span> |
| <span class="r-out co"><span class="r-pr">#></span> FileSystemDataset with 1 csv file</span> |
| <span class="r-out co"><span class="r-pr">#></span> 2 columns</span> |
| <span class="r-out co"><span class="r-pr">#></span> speed: int32</span> |
| <span class="r-out co"><span class="r-pr">#></span> dist: int32</span> |
| </code></pre></div> |
| </div> |
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