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| <li class="toctree-l4"><a class="reference internal" href="pyarrow.types.is_uint32.html">pyarrow.types.is_uint32</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.types.is_uint64.html">pyarrow.types.is_uint64</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.types.is_floating.html">pyarrow.types.is_floating</a></li> |
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| <li class="toctree-l4"><a class="reference internal" href="pyarrow.types.is_float32.html">pyarrow.types.is_float32</a></li> |
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| <li class="toctree-l4"><a class="reference internal" href="pyarrow.types.is_date64.html">pyarrow.types.is_date64</a></li> |
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| <li class="toctree-l4"><a class="reference internal" href="pyarrow.types.is_time32.html">pyarrow.types.is_time32</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.types.is_time64.html">pyarrow.types.is_time64</a></li> |
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| <li class="toctree-l4"><a class="reference internal" href="pyarrow.types.TypesEnum.html">pyarrow.types.TypesEnum</a></li> |
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| <li class="toctree-l3 has-children"><a class="reference internal" href="../api/arrays.html">Arrays and Scalars</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.array.html">pyarrow.array</a></li> |
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| <li class="toctree-l4"><a class="reference internal" href="pyarrow.Int8Array.html">pyarrow.Int8Array</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.Int16Array.html">pyarrow.Int16Array</a></li> |
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| <li class="toctree-l4"><a class="reference internal" href="pyarrow.DictionaryScalar.html">pyarrow.DictionaryScalar</a></li> |
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| <li class="toctree-l4"><a class="reference internal" href="pyarrow.ListScalar.html">pyarrow.ListScalar</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.FixedSizeListScalar.html">pyarrow.FixedSizeListScalar</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.LargeListScalar.html">pyarrow.LargeListScalar</a></li> |
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| <li class="toctree-l4"><a class="reference internal" href="pyarrow.MapScalar.html">pyarrow.MapScalar</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.StructScalar.html">pyarrow.StructScalar</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.UnionScalar.html">pyarrow.UnionScalar</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.ExtensionScalar.html">pyarrow.ExtensionScalar</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.FixedShapeTensorScalar.html">pyarrow.FixedShapeTensorScalar</a></li> |
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| <li class="toctree-l4"><a class="reference internal" href="pyarrow.JsonScalar.html">pyarrow.JsonScalar</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.UuidScalar.html">pyarrow.UuidScalar</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.Bool8Scalar.html">pyarrow.Bool8Scalar</a></li> |
| </ul> |
| </details></li> |
| <li class="toctree-l3 has-children"><a class="reference internal" href="../api/memory.html">Buffers and Memory</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.allocate_buffer.html">pyarrow.allocate_buffer</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.py_buffer.html">pyarrow.py_buffer</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.foreign_buffer.html">pyarrow.foreign_buffer</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.Buffer.html">pyarrow.Buffer</a></li> |
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| <li class="toctree-l4"><a class="reference internal" href="pyarrow.compress.html">pyarrow.compress</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.decompress.html">pyarrow.decompress</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.MemoryPool.html">pyarrow.MemoryPool</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.default_memory_pool.html">pyarrow.default_memory_pool</a></li> |
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| <li class="toctree-l4"><a class="reference internal" href="pyarrow.compute.ascii_rpad.html">pyarrow.compute.ascii_rpad</a></li> |
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| </details></li> |
| <li class="toctree-l3 has-children"><a class="reference internal" href="../api/acero.html">Acero - Streaming Execution Engine</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul> |
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| </ul> |
| </details></li> |
| <li class="toctree-l3 has-children"><a class="reference internal" href="../api/substrait.html">Substrait</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul> |
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| <li class="toctree-l4"><a class="reference internal" href="pyarrow.substrait.deserialize_expressions.html">pyarrow.substrait.deserialize_expressions</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.substrait.serialize_expressions.html">pyarrow.substrait.serialize_expressions</a></li> |
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| <li class="toctree-l3 has-children"><a class="reference internal" href="../api/flight.html">Arrow Flight</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul> |
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| <li class="toctree-l4 current active"><a class="current reference internal" href="#">pyarrow.csv.ConvertOptions</a></li> |
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| <li class="toctree-l4"><a class="reference internal" href="pyarrow.csv.read_csv.html">pyarrow.csv.read_csv</a></li> |
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| <li class="toctree-l4"><a class="reference internal" href="pyarrow.parquet.ParquetLogicalType.html">pyarrow.parquet.ParquetLogicalType</a></li> |
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| <li class="toctree-l4"><a class="reference internal" href="pyarrow.parquet.encryption.EncryptionConfiguration.html">pyarrow.parquet.encryption.EncryptionConfiguration</a></li> |
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| <li class="toctree-l4"><a class="reference internal" href="pyarrow.orc.ORCFile.html">pyarrow.orc.ORCFile</a></li> |
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| <li class="toctree-l3 has-children"><a class="reference internal" href="../api/filesystems.html">Filesystems</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul> |
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| <li class="toctree-l4"><a class="reference internal" href="pyarrow.fs.AzureFileSystem.html">pyarrow.fs.AzureFileSystem</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.fs.PyFileSystem.html">pyarrow.fs.PyFileSystem</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.fs.FileSystemHandler.html">pyarrow.fs.FileSystemHandler</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.fs.FSSpecHandler.html">pyarrow.fs.FSSpecHandler</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.fs.copy_files.html">pyarrow.fs.copy_files</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.fs.initialize_s3.html">pyarrow.fs.initialize_s3</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.fs.finalize_s3.html">pyarrow.fs.finalize_s3</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.fs.resolve_s3_region.html">pyarrow.fs.resolve_s3_region</a></li> |
| <li class="toctree-l4"><a class="reference internal" href="pyarrow.fs.S3LogLevel.html">pyarrow.fs.S3LogLevel</a></li> |
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| <li class="toctree-l3 has-children"><a class="reference internal" href="../api/dataset.html">Dataset</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul> |
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| <section id="pyarrow-csv-convertoptions"> |
| <h1>pyarrow.csv.ConvertOptions<a class="headerlink" href="#pyarrow-csv-convertoptions" title="Link to this heading">#</a></h1> |
| <dl class="py class"> |
| <dt class="sig sig-object py" id="pyarrow.csv.ConvertOptions"> |
| <em class="property"><span class="k"><span class="pre">class</span></span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyarrow.csv.</span></span><span class="sig-name descname"><span class="pre">ConvertOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">check_utf8</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="keyword-only-separator o"><abbr title="Keyword-only parameters separator (PEP 3102)"><span class="pre">*</span></abbr></span></em>, <em class="sig-param"><span class="n"><span class="pre">column_types</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">null_values</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">true_values</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">false_values</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decimal_point</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">strings_can_be_null</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">quoted_strings_can_be_null</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">include_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">include_missing_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">auto_dict_encode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">auto_dict_max_cardinality</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timestamp_parsers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.csv.ConvertOptions" title="Link to this definition">#</a></dt> |
| <dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">_Weakrefable</span></code></p> |
| <p>Options for converting CSV data.</p> |
| <dl class="field-list"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>check_utf8</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#bltin-boolean-values" title="(in Python v3.13)"><span class="xref std std-ref">bool</span></a>, optional (default <a class="reference external" href="https://docs.python.org/3/library/constants.html#True" title="(in Python v3.13)"><code class="docutils literal notranslate"><span class="pre">True</span></code></a>)</span></dt><dd><p>Whether to check UTF8 validity of string columns.</p> |
| </dd> |
| <dt><strong>column_types</strong><span class="classifier"><a class="reference internal" href="pyarrow.Schema.html#pyarrow.Schema" title="pyarrow.Schema"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pyarrow.Schema</span></code></a> or <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><code class="docutils literal notranslate"><span class="pre">dict</span></code></a>, optional</span></dt><dd><p>Explicitly map column names to column types. Passing this argument |
| disables type inference on the defined columns.</p> |
| </dd> |
| <dt><strong>null_values</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.13)"><code class="docutils literal notranslate"><span class="pre">list</span></code></a>, optional</span></dt><dd><p>A sequence of strings that denote nulls in the data |
| (defaults are appropriate in most cases). Note that by default, |
| string columns are not checked for null values. To enable |
| null checking for those, specify <code class="docutils literal notranslate"><span class="pre">strings_can_be_null=True</span></code>.</p> |
| </dd> |
| <dt><strong>true_values</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.13)"><code class="docutils literal notranslate"><span class="pre">list</span></code></a>, optional</span></dt><dd><p>A sequence of strings that denote true booleans in the data |
| (defaults are appropriate in most cases).</p> |
| </dd> |
| <dt><strong>false_values</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.13)"><code class="docutils literal notranslate"><span class="pre">list</span></code></a>, optional</span></dt><dd><p>A sequence of strings that denote false booleans in the data |
| (defaults are appropriate in most cases).</p> |
| </dd> |
| <dt><strong>decimal_point</strong><span class="classifier">1-character <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><code class="docutils literal notranslate"><span class="pre">str</span></code></a>, optional (default ‘.’)</span></dt><dd><p>The character used as decimal point in floating-point and decimal |
| data.</p> |
| </dd> |
| <dt><strong>strings_can_be_null</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#bltin-boolean-values" title="(in Python v3.13)"><span class="xref std std-ref">bool</span></a>, optional (default <a class="reference external" href="https://docs.python.org/3/library/constants.html#False" title="(in Python v3.13)"><code class="docutils literal notranslate"><span class="pre">False</span></code></a>)</span></dt><dd><p>Whether string / binary columns can have null values. |
| If true, then strings in null_values are considered null for |
| string columns. |
| If false, then all strings are valid string values.</p> |
| </dd> |
| <dt><strong>quoted_strings_can_be_null</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#bltin-boolean-values" title="(in Python v3.13)"><span class="xref std std-ref">bool</span></a>, optional (default <a class="reference external" href="https://docs.python.org/3/library/constants.html#True" title="(in Python v3.13)"><code class="docutils literal notranslate"><span class="pre">True</span></code></a>)</span></dt><dd><p>Whether quoted values can be null. |
| If true, then strings in “null_values” are also considered null |
| when they appear quoted in the CSV file. Otherwise, quoted values |
| are never considered null.</p> |
| </dd> |
| <dt><strong>include_columns</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.13)"><code class="docutils literal notranslate"><span class="pre">list</span></code></a>, optional</span></dt><dd><p>The names of columns to include in the Table. |
| If empty, the Table will include all columns from the CSV file. |
| If not empty, only these columns will be included, in this order.</p> |
| </dd> |
| <dt><strong>include_missing_columns</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#bltin-boolean-values" title="(in Python v3.13)"><span class="xref std std-ref">bool</span></a>, optional (default <a class="reference external" href="https://docs.python.org/3/library/constants.html#False" title="(in Python v3.13)"><code class="docutils literal notranslate"><span class="pre">False</span></code></a>)</span></dt><dd><p>If false, columns in <cite>include_columns</cite> but not in the CSV file will |
| error out. |
| If true, columns in <cite>include_columns</cite> but not in the CSV file will |
| produce a column of nulls (whose type is selected using |
| <cite>column_types</cite>, or null by default). |
| This option is ignored if <cite>include_columns</cite> is empty.</p> |
| </dd> |
| <dt><strong>auto_dict_encode</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#bltin-boolean-values" title="(in Python v3.13)"><span class="xref std std-ref">bool</span></a>, optional (default <a class="reference external" href="https://docs.python.org/3/library/constants.html#False" title="(in Python v3.13)"><code class="docutils literal notranslate"><span class="pre">False</span></code></a>)</span></dt><dd><p>Whether to try to automatically dict-encode string / binary data. |
| If true, then when type inference detects a string or binary column, |
| it it dict-encoded up to <cite>auto_dict_max_cardinality</cite> distinct values |
| (per chunk), after which it switches to regular encoding. |
| This setting is ignored for non-inferred columns (those in |
| <cite>column_types</cite>).</p> |
| </dd> |
| <dt><strong>auto_dict_max_cardinality</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><code class="docutils literal notranslate"><span class="pre">int</span></code></a>, optional</span></dt><dd><p>The maximum dictionary cardinality for <cite>auto_dict_encode</cite>. |
| This value is per chunk.</p> |
| </dd> |
| <dt><strong>timestamp_parsers</strong><span class="classifier"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.13)"><code class="docutils literal notranslate"><span class="pre">list</span></code></a>, optional</span></dt><dd><p>A sequence of strptime()-compatible format strings, tried in order |
| when attempting to infer or convert timestamp values (the special |
| value ISO8601() can also be given). By default, a fast built-in |
| ISO-8601 parser is used.</p> |
| </dd> |
| </dl> |
| </dd> |
| </dl> |
| <p class="rubric">Examples</p> |
| <p>Defining an example data:</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span><span class="w"> </span><span class="nn">io</span> |
| <span class="gp">>>> </span><span class="n">s</span> <span class="o">=</span> <span class="p">(</span> |
| <span class="gp">... </span> <span class="s2">"animals,n_legs,entry,fast</span><span class="se">\n</span><span class="s2">"</span> |
| <span class="gp">... </span> <span class="s2">"Flamingo,2,01/03/2022,Yes</span><span class="se">\n</span><span class="s2">"</span> |
| <span class="gp">... </span> <span class="s2">"Horse,4,02/03/2022,Yes</span><span class="se">\n</span><span class="s2">"</span> |
| <span class="gp">... </span> <span class="s2">"Brittle stars,5,03/03/2022,No</span><span class="se">\n</span><span class="s2">"</span> |
| <span class="gp">... </span> <span class="s2">"Centipede,100,04/03/2022,No</span><span class="se">\n</span><span class="s2">"</span> |
| <span class="gp">... </span> <span class="s2">",6,05/03/2022,"</span> |
| <span class="gp">... </span><span class="p">)</span> |
| <span class="gp">>>> </span><span class="nb">print</span><span class="p">(</span><span class="n">s</span><span class="p">)</span> |
| <span class="go">animals,n_legs,entry,fast</span> |
| <span class="go">Flamingo,2,01/03/2022,Yes</span> |
| <span class="go">Horse,4,02/03/2022,Yes</span> |
| <span class="go">Brittle stars,5,03/03/2022,No</span> |
| <span class="go">Centipede,100,04/03/2022,No</span> |
| <span class="go">,6,05/03/2022,</span> |
| </pre></div> |
| </div> |
| <p>Change the type of a column:</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pa</span> |
| <span class="gp">>>> </span><span class="kn">from</span><span class="w"> </span><span class="nn">pyarrow</span><span class="w"> </span><span class="kn">import</span> <span class="n">csv</span> |
| <span class="gp">>>> </span><span class="n">convert_options</span> <span class="o">=</span> <span class="n">csv</span><span class="o">.</span><span class="n">ConvertOptions</span><span class="p">(</span><span class="n">column_types</span><span class="o">=</span><span class="p">{</span><span class="s2">"n_legs"</span><span class="p">:</span> <span class="n">pa</span><span class="o">.</span><span class="n">float64</span><span class="p">()})</span> |
| <span class="gp">>>> </span><span class="n">csv</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">io</span><span class="o">.</span><span class="n">BytesIO</span><span class="p">(</span><span class="n">s</span><span class="o">.</span><span class="n">encode</span><span class="p">()),</span> <span class="n">convert_options</span><span class="o">=</span><span class="n">convert_options</span><span class="p">)</span> |
| <span class="go">pyarrow.Table</span> |
| <span class="go">animals: string</span> |
| <span class="go">n_legs: double</span> |
| <span class="go">entry: string</span> |
| <span class="go">fast: string</span> |
| <span class="go">----</span> |
| <span class="go">animals: [["Flamingo","Horse","Brittle stars","Centipede",""]]</span> |
| <span class="go">n_legs: [[2,4,5,100,6]]</span> |
| <span class="go">entry: [["01/03/2022","02/03/2022","03/03/2022","04/03/2022","05/03/2022"]]</span> |
| <span class="go">fast: [["Yes","Yes","No","No",""]]</span> |
| </pre></div> |
| </div> |
| <p>Define a date parsing format to get a timestamp type column |
| (in case dates are not in ISO format and not converted by default):</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">convert_options</span> <span class="o">=</span> <span class="n">csv</span><span class="o">.</span><span class="n">ConvertOptions</span><span class="p">(</span> |
| <span class="gp">... </span> <span class="n">timestamp_parsers</span><span class="o">=</span><span class="p">[</span><span class="s2">"%m/</span><span class="si">%d</span><span class="s2">/%Y"</span><span class="p">,</span> <span class="s2">"%m-</span><span class="si">%d</span><span class="s2">-%Y"</span><span class="p">])</span> |
| <span class="gp">>>> </span><span class="n">csv</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">io</span><span class="o">.</span><span class="n">BytesIO</span><span class="p">(</span><span class="n">s</span><span class="o">.</span><span class="n">encode</span><span class="p">()),</span> <span class="n">convert_options</span><span class="o">=</span><span class="n">convert_options</span><span class="p">)</span> |
| <span class="go">pyarrow.Table</span> |
| <span class="go">animals: string</span> |
| <span class="go">n_legs: int64</span> |
| <span class="go">entry: timestamp[s]</span> |
| <span class="go">fast: string</span> |
| <span class="go">----</span> |
| <span class="go">animals: [["Flamingo","Horse","Brittle stars","Centipede",""]]</span> |
| <span class="go">n_legs: [[2,4,5,100,6]]</span> |
| <span class="go">entry: [[2022-01-03 00:00:00,2022-02-03 00:00:00,2022-03-03 00:00:00,2022-04-03 00:00:00,2022-05-03 00:00:00]]</span> |
| <span class="go">fast: [["Yes","Yes","No","No",""]]</span> |
| </pre></div> |
| </div> |
| <p>Specify a subset of columns to be read:</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">convert_options</span> <span class="o">=</span> <span class="n">csv</span><span class="o">.</span><span class="n">ConvertOptions</span><span class="p">(</span> |
| <span class="gp">... </span> <span class="n">include_columns</span><span class="o">=</span><span class="p">[</span><span class="s2">"animals"</span><span class="p">,</span> <span class="s2">"n_legs"</span><span class="p">])</span> |
| <span class="gp">>>> </span><span class="n">csv</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">io</span><span class="o">.</span><span class="n">BytesIO</span><span class="p">(</span><span class="n">s</span><span class="o">.</span><span class="n">encode</span><span class="p">()),</span> <span class="n">convert_options</span><span class="o">=</span><span class="n">convert_options</span><span class="p">)</span> |
| <span class="go">pyarrow.Table</span> |
| <span class="go">animals: string</span> |
| <span class="go">n_legs: int64</span> |
| <span class="go">----</span> |
| <span class="go">animals: [["Flamingo","Horse","Brittle stars","Centipede",""]]</span> |
| <span class="go">n_legs: [[2,4,5,100,6]]</span> |
| </pre></div> |
| </div> |
| <p>List additional column to be included as a null typed column:</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">convert_options</span> <span class="o">=</span> <span class="n">csv</span><span class="o">.</span><span class="n">ConvertOptions</span><span class="p">(</span> |
| <span class="gp">... </span> <span class="n">include_columns</span><span class="o">=</span><span class="p">[</span><span class="s2">"animals"</span><span class="p">,</span> <span class="s2">"n_legs"</span><span class="p">,</span> <span class="s2">"location"</span><span class="p">],</span> |
| <span class="gp">... </span> <span class="n">include_missing_columns</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> |
| <span class="gp">>>> </span><span class="n">csv</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">io</span><span class="o">.</span><span class="n">BytesIO</span><span class="p">(</span><span class="n">s</span><span class="o">.</span><span class="n">encode</span><span class="p">()),</span> <span class="n">convert_options</span><span class="o">=</span><span class="n">convert_options</span><span class="p">)</span> |
| <span class="go">pyarrow.Table</span> |
| <span class="go">animals: string</span> |
| <span class="go">n_legs: int64</span> |
| <span class="go">location: null</span> |
| <span class="go">----</span> |
| <span class="go">animals: [["Flamingo","Horse","Brittle stars","Centipede",""]]</span> |
| <span class="go">n_legs: [[2,4,5,100,6]]</span> |
| <span class="go">location: [5 nulls]</span> |
| </pre></div> |
| </div> |
| <p>Define columns as dictionary type (by default only the |
| string/binary columns are dictionary encoded):</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">convert_options</span> <span class="o">=</span> <span class="n">csv</span><span class="o">.</span><span class="n">ConvertOptions</span><span class="p">(</span> |
| <span class="gp">... </span> <span class="n">timestamp_parsers</span><span class="o">=</span><span class="p">[</span><span class="s2">"%m/</span><span class="si">%d</span><span class="s2">/%Y"</span><span class="p">,</span> <span class="s2">"%m-</span><span class="si">%d</span><span class="s2">-%Y"</span><span class="p">],</span> |
| <span class="gp">... </span> <span class="n">auto_dict_encode</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> |
| <span class="gp">>>> </span><span class="n">csv</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">io</span><span class="o">.</span><span class="n">BytesIO</span><span class="p">(</span><span class="n">s</span><span class="o">.</span><span class="n">encode</span><span class="p">()),</span> <span class="n">convert_options</span><span class="o">=</span><span class="n">convert_options</span><span class="p">)</span> |
| <span class="go">pyarrow.Table</span> |
| <span class="go">animals: dictionary<values=string, indices=int32, ordered=0></span> |
| <span class="go">n_legs: int64</span> |
| <span class="go">entry: timestamp[s]</span> |
| <span class="go">fast: dictionary<values=string, indices=int32, ordered=0></span> |
| <span class="go">----</span> |
| <span class="go">animals: [ -- dictionary:</span> |
| <span class="go">["Flamingo","Horse","Brittle stars","Centipede",""] -- indices:</span> |
| <span class="go">[0,1,2,3,4]]</span> |
| <span class="go">n_legs: [[2,4,5,100,6]]</span> |
| <span class="go">entry: [[2022-01-03 00:00:00,2022-02-03 00:00:00,2022-03-03 00:00:00,2022-04-03 00:00:00,2022-05-03 00:00:00]]</span> |
| <span class="go">fast: [ -- dictionary:</span> |
| <span class="go">["Yes","No",""] -- indices:</span> |
| <span class="go">[0,0,1,1,2]]</span> |
| </pre></div> |
| </div> |
| <p>Set upper limit for the number of categories. If the categories |
| is more than the limit, the conversion to dictionary will not |
| happen:</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">convert_options</span> <span class="o">=</span> <span class="n">csv</span><span class="o">.</span><span class="n">ConvertOptions</span><span class="p">(</span> |
| <span class="gp">... </span> <span class="n">include_columns</span><span class="o">=</span><span class="p">[</span><span class="s2">"animals"</span><span class="p">],</span> |
| <span class="gp">... </span> <span class="n">auto_dict_encode</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> |
| <span class="gp">... </span> <span class="n">auto_dict_max_cardinality</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span> |
| <span class="gp">>>> </span><span class="n">csv</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">io</span><span class="o">.</span><span class="n">BytesIO</span><span class="p">(</span><span class="n">s</span><span class="o">.</span><span class="n">encode</span><span class="p">()),</span> <span class="n">convert_options</span><span class="o">=</span><span class="n">convert_options</span><span class="p">)</span> |
| <span class="go">pyarrow.Table</span> |
| <span class="go">animals: string</span> |
| <span class="go">----</span> |
| <span class="go">animals: [["Flamingo","Horse","Brittle stars","Centipede",""]]</span> |
| </pre></div> |
| </div> |
| <p>Set empty strings to missing values:</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">convert_options</span> <span class="o">=</span> <span class="n">csv</span><span class="o">.</span><span class="n">ConvertOptions</span><span class="p">(</span><span class="n">include_columns</span><span class="o">=</span><span class="p">[</span><span class="s2">"animals"</span><span class="p">,</span> <span class="s2">"n_legs"</span><span class="p">],</span> |
| <span class="gp">... </span> <span class="n">strings_can_be_null</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> |
| <span class="gp">>>> </span><span class="n">csv</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">io</span><span class="o">.</span><span class="n">BytesIO</span><span class="p">(</span><span class="n">s</span><span class="o">.</span><span class="n">encode</span><span class="p">()),</span> <span class="n">convert_options</span><span class="o">=</span><span class="n">convert_options</span><span class="p">)</span> |
| <span class="go">pyarrow.Table</span> |
| <span class="go">animals: string</span> |
| <span class="go">n_legs: int64</span> |
| <span class="go">----</span> |
| <span class="go">animals: [["Flamingo","Horse","Brittle stars","Centipede",null]]</span> |
| <span class="go">n_legs: [[2,4,5,100,6]]</span> |
| </pre></div> |
| </div> |
| <p>Define values to be True and False when converting a column |
| into a bool type:</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">convert_options</span> <span class="o">=</span> <span class="n">csv</span><span class="o">.</span><span class="n">ConvertOptions</span><span class="p">(</span> |
| <span class="gp">... </span> <span class="n">include_columns</span><span class="o">=</span><span class="p">[</span><span class="s2">"fast"</span><span class="p">],</span> |
| <span class="gp">... </span> <span class="n">false_values</span><span class="o">=</span><span class="p">[</span><span class="s2">"No"</span><span class="p">],</span> |
| <span class="gp">... </span> <span class="n">true_values</span><span class="o">=</span><span class="p">[</span><span class="s2">"Yes"</span><span class="p">])</span> |
| <span class="gp">>>> </span><span class="n">csv</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">io</span><span class="o">.</span><span class="n">BytesIO</span><span class="p">(</span><span class="n">s</span><span class="o">.</span><span class="n">encode</span><span class="p">()),</span> <span class="n">convert_options</span><span class="o">=</span><span class="n">convert_options</span><span class="p">)</span> |
| <span class="go">pyarrow.Table</span> |
| <span class="go">fast: bool</span> |
| <span class="go">----</span> |
| <span class="go">fast: [[true,true,false,false,null]]</span> |
| </pre></div> |
| </div> |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.csv.ConvertOptions.__init__"> |
| <span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.csv.ConvertOptions.__init__" title="Link to this definition">#</a></dt> |
| <dd></dd></dl> |
| |
| <p class="rubric">Methods</p> |
| <div class="pst-scrollable-table-container"><table class="autosummary longtable table"> |
| <tbody> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.csv.ConvertOptions.__init__" title="pyarrow.csv.ConvertOptions.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a>(*args, **kwargs)</p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.csv.ConvertOptions.equals" title="pyarrow.csv.ConvertOptions.equals"><code class="xref py py-obj docutils literal notranslate"><span class="pre">equals</span></code></a>(self, ConvertOptions other)</p></td> |
| <td><p></p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.csv.ConvertOptions.validate" title="pyarrow.csv.ConvertOptions.validate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">validate</span></code></a>(self)</p></td> |
| <td><p></p></td> |
| </tr> |
| </tbody> |
| </table> |
| </div> |
| <p class="rubric">Attributes</p> |
| <div class="pst-scrollable-table-container"><table class="autosummary longtable table"> |
| <tbody> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.csv.ConvertOptions.auto_dict_encode" title="pyarrow.csv.ConvertOptions.auto_dict_encode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">auto_dict_encode</span></code></a></p></td> |
| <td><p>Whether to try to automatically dict-encode string / binary data.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.csv.ConvertOptions.auto_dict_max_cardinality" title="pyarrow.csv.ConvertOptions.auto_dict_max_cardinality"><code class="xref py py-obj docutils literal notranslate"><span class="pre">auto_dict_max_cardinality</span></code></a></p></td> |
| <td><p>The maximum dictionary cardinality for <cite>auto_dict_encode</cite>.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.csv.ConvertOptions.check_utf8" title="pyarrow.csv.ConvertOptions.check_utf8"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_utf8</span></code></a></p></td> |
| <td><p>Whether to check UTF8 validity of string columns.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.csv.ConvertOptions.column_types" title="pyarrow.csv.ConvertOptions.column_types"><code class="xref py py-obj docutils literal notranslate"><span class="pre">column_types</span></code></a></p></td> |
| <td><p>Explicitly map column names to column types.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.csv.ConvertOptions.decimal_point" title="pyarrow.csv.ConvertOptions.decimal_point"><code class="xref py py-obj docutils literal notranslate"><span class="pre">decimal_point</span></code></a></p></td> |
| <td><p>The character used as decimal point in floating-point and decimal data.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.csv.ConvertOptions.false_values" title="pyarrow.csv.ConvertOptions.false_values"><code class="xref py py-obj docutils literal notranslate"><span class="pre">false_values</span></code></a></p></td> |
| <td><p>A sequence of strings that denote false booleans in the data.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.csv.ConvertOptions.include_columns" title="pyarrow.csv.ConvertOptions.include_columns"><code class="xref py py-obj docutils literal notranslate"><span class="pre">include_columns</span></code></a></p></td> |
| <td><p>The names of columns to include in the Table.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.csv.ConvertOptions.include_missing_columns" title="pyarrow.csv.ConvertOptions.include_missing_columns"><code class="xref py py-obj docutils literal notranslate"><span class="pre">include_missing_columns</span></code></a></p></td> |
| <td><p>If false, columns in <cite>include_columns</cite> but not in the CSV file will error out.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.csv.ConvertOptions.null_values" title="pyarrow.csv.ConvertOptions.null_values"><code class="xref py py-obj docutils literal notranslate"><span class="pre">null_values</span></code></a></p></td> |
| <td><p>A sequence of strings that denote nulls in the data.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.csv.ConvertOptions.quoted_strings_can_be_null" title="pyarrow.csv.ConvertOptions.quoted_strings_can_be_null"><code class="xref py py-obj docutils literal notranslate"><span class="pre">quoted_strings_can_be_null</span></code></a></p></td> |
| <td><p>Whether quoted values can be null.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.csv.ConvertOptions.strings_can_be_null" title="pyarrow.csv.ConvertOptions.strings_can_be_null"><code class="xref py py-obj docutils literal notranslate"><span class="pre">strings_can_be_null</span></code></a></p></td> |
| <td><p>Whether string / binary columns can have null values.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyarrow.csv.ConvertOptions.timestamp_parsers" title="pyarrow.csv.ConvertOptions.timestamp_parsers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">timestamp_parsers</span></code></a></p></td> |
| <td><p>A sequence of strptime()-compatible format strings, tried in order when attempting to infer or convert timestamp values (the special value ISO8601() can also be given).</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyarrow.csv.ConvertOptions.true_values" title="pyarrow.csv.ConvertOptions.true_values"><code class="xref py py-obj docutils literal notranslate"><span class="pre">true_values</span></code></a></p></td> |
| <td><p>A sequence of strings that denote true booleans in the data.</p></td> |
| </tr> |
| </tbody> |
| </table> |
| </div> |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.csv.ConvertOptions.auto_dict_encode"> |
| <span class="sig-name descname"><span class="pre">auto_dict_encode</span></span><a class="headerlink" href="#pyarrow.csv.ConvertOptions.auto_dict_encode" title="Link to this definition">#</a></dt> |
| <dd><p>Whether to try to automatically dict-encode string / binary data.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.csv.ConvertOptions.auto_dict_max_cardinality"> |
| <span class="sig-name descname"><span class="pre">auto_dict_max_cardinality</span></span><a class="headerlink" href="#pyarrow.csv.ConvertOptions.auto_dict_max_cardinality" title="Link to this definition">#</a></dt> |
| <dd><p>The maximum dictionary cardinality for <cite>auto_dict_encode</cite>.</p> |
| <p>This value is per chunk.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.csv.ConvertOptions.check_utf8"> |
| <span class="sig-name descname"><span class="pre">check_utf8</span></span><a class="headerlink" href="#pyarrow.csv.ConvertOptions.check_utf8" title="Link to this definition">#</a></dt> |
| <dd><p>Whether to check UTF8 validity of string columns.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.csv.ConvertOptions.column_types"> |
| <span class="sig-name descname"><span class="pre">column_types</span></span><a class="headerlink" href="#pyarrow.csv.ConvertOptions.column_types" title="Link to this definition">#</a></dt> |
| <dd><p>Explicitly map column names to column types.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.csv.ConvertOptions.decimal_point"> |
| <span class="sig-name descname"><span class="pre">decimal_point</span></span><a class="headerlink" href="#pyarrow.csv.ConvertOptions.decimal_point" title="Link to this definition">#</a></dt> |
| <dd><p>The character used as decimal point in floating-point and decimal |
| data.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.csv.ConvertOptions.equals"> |
| <span class="sig-name descname"><span class="pre">equals</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ConvertOptions</span> <span class="pre">other</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.csv.ConvertOptions.equals" title="Link to this definition">#</a></dt> |
| <dd><dl class="field-list"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><dl> |
| <dt><strong>other</strong><span class="classifier"><a class="reference internal" href="#pyarrow.csv.ConvertOptions" title="pyarrow.csv.ConvertOptions"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pyarrow.csv.ConvertOptions</span></code></a></span></dt><dd></dd> |
| </dl> |
| </dd> |
| <dt class="field-even">Returns<span class="colon">:</span></dt> |
| <dd class="field-even"><dl class="simple"> |
| <dt><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#bltin-boolean-values" title="(in Python v3.13)"><span class="xref std std-ref">bool</span></a></dt><dd></dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.csv.ConvertOptions.false_values"> |
| <span class="sig-name descname"><span class="pre">false_values</span></span><a class="headerlink" href="#pyarrow.csv.ConvertOptions.false_values" title="Link to this definition">#</a></dt> |
| <dd><p>A sequence of strings that denote false booleans in the data.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.csv.ConvertOptions.include_columns"> |
| <span class="sig-name descname"><span class="pre">include_columns</span></span><a class="headerlink" href="#pyarrow.csv.ConvertOptions.include_columns" title="Link to this definition">#</a></dt> |
| <dd><p>The names of columns to include in the Table.</p> |
| <p>If empty, the Table will include all columns from the CSV file. |
| If not empty, only these columns will be included, in this order.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.csv.ConvertOptions.include_missing_columns"> |
| <span class="sig-name descname"><span class="pre">include_missing_columns</span></span><a class="headerlink" href="#pyarrow.csv.ConvertOptions.include_missing_columns" title="Link to this definition">#</a></dt> |
| <dd><p>If false, columns in <cite>include_columns</cite> but not in the CSV file will |
| error out. |
| If true, columns in <cite>include_columns</cite> but not in the CSV file will |
| produce a null column (whose type is selected using <cite>column_types</cite>, |
| or null by default). |
| This option is ignored if <cite>include_columns</cite> is empty.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.csv.ConvertOptions.null_values"> |
| <span class="sig-name descname"><span class="pre">null_values</span></span><a class="headerlink" href="#pyarrow.csv.ConvertOptions.null_values" title="Link to this definition">#</a></dt> |
| <dd><p>A sequence of strings that denote nulls in the data.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.csv.ConvertOptions.quoted_strings_can_be_null"> |
| <span class="sig-name descname"><span class="pre">quoted_strings_can_be_null</span></span><a class="headerlink" href="#pyarrow.csv.ConvertOptions.quoted_strings_can_be_null" title="Link to this definition">#</a></dt> |
| <dd><p>Whether quoted values can be null.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.csv.ConvertOptions.strings_can_be_null"> |
| <span class="sig-name descname"><span class="pre">strings_can_be_null</span></span><a class="headerlink" href="#pyarrow.csv.ConvertOptions.strings_can_be_null" title="Link to this definition">#</a></dt> |
| <dd><p>Whether string / binary columns can have null values.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.csv.ConvertOptions.timestamp_parsers"> |
| <span class="sig-name descname"><span class="pre">timestamp_parsers</span></span><a class="headerlink" href="#pyarrow.csv.ConvertOptions.timestamp_parsers" title="Link to this definition">#</a></dt> |
| <dd><p>A sequence of strptime()-compatible format strings, tried in order |
| when attempting to infer or convert timestamp values (the special |
| value ISO8601() can also be given). By default, a fast built-in |
| ISO-8601 parser is used.</p> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="pyarrow.csv.ConvertOptions.true_values"> |
| <span class="sig-name descname"><span class="pre">true_values</span></span><a class="headerlink" href="#pyarrow.csv.ConvertOptions.true_values" title="Link to this definition">#</a></dt> |
| <dd><p>A sequence of strings that denote true booleans in the data.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="pyarrow.csv.ConvertOptions.validate"> |
| <span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">self</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pyarrow.csv.ConvertOptions.validate" title="Link to this definition">#</a></dt> |
| <dd></dd></dl> |
| |
| </dd></dl> |
| |
| </section> |
| |
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| <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#pyarrow.csv.ConvertOptions"><code class="docutils literal notranslate"><span class="pre">ConvertOptions</span></code></a><ul class="visible nav section-nav flex-column"> |
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| <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#pyarrow.csv.ConvertOptions.equals"><code class="docutils literal notranslate"><span class="pre">ConvertOptions.equals()</span></code></a></li> |
| <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#pyarrow.csv.ConvertOptions.false_values"><code class="docutils literal notranslate"><span class="pre">ConvertOptions.false_values</span></code></a></li> |
| <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#pyarrow.csv.ConvertOptions.include_columns"><code class="docutils literal notranslate"><span class="pre">ConvertOptions.include_columns</span></code></a></li> |
| <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#pyarrow.csv.ConvertOptions.include_missing_columns"><code class="docutils literal notranslate"><span class="pre">ConvertOptions.include_missing_columns</span></code></a></li> |
| <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#pyarrow.csv.ConvertOptions.null_values"><code class="docutils literal notranslate"><span class="pre">ConvertOptions.null_values</span></code></a></li> |
| <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#pyarrow.csv.ConvertOptions.quoted_strings_can_be_null"><code class="docutils literal notranslate"><span class="pre">ConvertOptions.quoted_strings_can_be_null</span></code></a></li> |
| <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#pyarrow.csv.ConvertOptions.strings_can_be_null"><code class="docutils literal notranslate"><span class="pre">ConvertOptions.strings_can_be_null</span></code></a></li> |
| <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#pyarrow.csv.ConvertOptions.timestamp_parsers"><code class="docutils literal notranslate"><span class="pre">ConvertOptions.timestamp_parsers</span></code></a></li> |
| <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#pyarrow.csv.ConvertOptions.true_values"><code class="docutils literal notranslate"><span class="pre">ConvertOptions.true_values</span></code></a></li> |
| <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#pyarrow.csv.ConvertOptions.validate"><code class="docutils literal notranslate"><span class="pre">ConvertOptions.validate()</span></code></a></li> |
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