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| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.ExtensionScalar.html">pyarrow.ExtensionScalar</a></li> |
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| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.Tensor.html">pyarrow.Tensor</a></li> |
| </ul> |
| </li> |
| <li class="toctree-l2 has-children"><a class="reference internal" href="api/compute.html">Compute Functions</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-7"><i class="fa-solid fa-chevron-down"></i></label><ul> |
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| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.negate_checked.html">pyarrow.compute.negate_checked</a></li> |
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| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.sqrt.html">pyarrow.compute.sqrt</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.sqrt_checked.html">pyarrow.compute.sqrt_checked</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.subtract.html">pyarrow.compute.subtract</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.subtract_checked.html">pyarrow.compute.subtract_checked</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.bit_wise_and.html">pyarrow.compute.bit_wise_and</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.bit_wise_not.html">pyarrow.compute.bit_wise_not</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.bit_wise_or.html">pyarrow.compute.bit_wise_or</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.bit_wise_xor.html">pyarrow.compute.bit_wise_xor</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.shift_left.html">pyarrow.compute.shift_left</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.shift_left_checked.html">pyarrow.compute.shift_left_checked</a></li> |
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| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.shift_right_checked.html">pyarrow.compute.shift_right_checked</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.ceil.html">pyarrow.compute.ceil</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.floor.html">pyarrow.compute.floor</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.round.html">pyarrow.compute.round</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.round_to_multiple.html">pyarrow.compute.round_to_multiple</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.trunc.html">pyarrow.compute.trunc</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.ln.html">pyarrow.compute.ln</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.ln_checked.html">pyarrow.compute.ln_checked</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.log10.html">pyarrow.compute.log10</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.log10_checked.html">pyarrow.compute.log10_checked</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.log1p.html">pyarrow.compute.log1p</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.log1p_checked.html">pyarrow.compute.log1p_checked</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.log2.html">pyarrow.compute.log2</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.log2_checked.html">pyarrow.compute.log2_checked</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.logb.html">pyarrow.compute.logb</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.logb_checked.html">pyarrow.compute.logb_checked</a></li> |
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| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.acos_checked.html">pyarrow.compute.acos_checked</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.asin.html">pyarrow.compute.asin</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.asin_checked.html">pyarrow.compute.asin_checked</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.atan.html">pyarrow.compute.atan</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.atan2.html">pyarrow.compute.atan2</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.cos.html">pyarrow.compute.cos</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.cos_checked.html">pyarrow.compute.cos_checked</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.sin.html">pyarrow.compute.sin</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.sin_checked.html">pyarrow.compute.sin_checked</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.compute.tan.html">pyarrow.compute.tan</a></li> |
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| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.ipc.MessageReader.html">pyarrow.ipc.MessageReader</a></li> |
| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.ipc.RecordBatchFileReader.html">pyarrow.ipc.RecordBatchFileReader</a></li> |
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| <li class="toctree-l3"><a class="reference internal" href="generated/pyarrow.flight.FlightWriteSizeExceededError.html">pyarrow.flight.FlightWriteSizeExceededError</a></li> |
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| <section id="installing-pyarrow"> |
| <h1>Installing PyArrow<a class="headerlink" href="#installing-pyarrow" title="Permalink to this heading">#</a></h1> |
| <section id="system-compatibility"> |
| <h2>System Compatibility<a class="headerlink" href="#system-compatibility" title="Permalink to this heading">#</a></h2> |
| <p>PyArrow is regularly built and tested on Windows, macOS and various |
| Linux distributions. We strongly recommend using a 64-bit system.</p> |
| </section> |
| <section id="python-compatibility"> |
| <h2>Python Compatibility<a class="headerlink" href="#python-compatibility" title="Permalink to this heading">#</a></h2> |
| <p>PyArrow is currently compatible with Python 3.8, 3.9, 3.10 and 3.11.</p> |
| </section> |
| <section id="using-conda"> |
| <h2>Using Conda<a class="headerlink" href="#using-conda" title="Permalink to this heading">#</a></h2> |
| <p>Install the latest version of PyArrow from |
| <a class="reference external" href="https://conda-forge.org/">conda-forge</a> using <a class="reference external" href="https://conda.io">Conda</a>:</p> |
| <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>conda<span class="w"> </span>install<span class="w"> </span>-c<span class="w"> </span>conda-forge<span class="w"> </span>pyarrow |
| </pre></div> |
| </div> |
| <div class="admonition note"> |
| <p class="admonition-title">Note</p> |
| <p>While the <code class="docutils literal notranslate"><span class="pre">pyarrow</span></code> <a class="reference external" href="https://conda-forge.org/">conda-forge</a> package is |
| the right choice for most users, both a minimal and maximal variant of the |
| package exist, either of which may be better for your use case. See |
| <a class="reference internal" href="#python-conda-differences"><span class="std std-ref">Differences between conda-forge packages</span></a>.</p> |
| </div> |
| </section> |
| <section id="using-pip"> |
| <h2>Using Pip<a class="headerlink" href="#using-pip" title="Permalink to this heading">#</a></h2> |
| <p>Install the latest version from <a class="reference external" href="https://pypi.org/">PyPI</a> (Windows, Linux, |
| and macOS):</p> |
| <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>pip<span class="w"> </span>install<span class="w"> </span>pyarrow |
| </pre></div> |
| </div> |
| <p>If you encounter any importing issues of the pip wheels on Windows, you may |
| need to install the <a class="reference external" href="https://www.microsoft.com/en-us/download/details.aspx?id=48145">Visual C++ Redistributable for Visual Studio 2015</a>.</p> |
| <div class="admonition warning"> |
| <p class="admonition-title">Warning</p> |
| <p>On Linux, you will need pip >= 19.0 to detect the prebuilt binary packages.</p> |
| </div> |
| </section> |
| <section id="installing-nightly-packages-or-from-source"> |
| <h2>Installing nightly packages or from source<a class="headerlink" href="#installing-nightly-packages-or-from-source" title="Permalink to this heading">#</a></h2> |
| <p>See <a class="reference internal" href="../developers/python.html#python-development"><span class="std std-ref">Python Development</span></a>.</p> |
| </section> |
| <section id="dependencies"> |
| <h2>Dependencies<a class="headerlink" href="#dependencies" title="Permalink to this heading">#</a></h2> |
| <p>Required dependency</p> |
| <ul class="simple"> |
| <li><p><strong>NumPy 1.16.6</strong> or higher.</p></li> |
| </ul> |
| <p>Optional dependencies</p> |
| <ul class="simple"> |
| <li><p><strong>pandas 1.0</strong> or higher,</p></li> |
| <li><p><strong>cffi</strong>.</p></li> |
| </ul> |
| <p>Additional packages PyArrow is compatible with are <a class="reference internal" href="filesystems.html#filesystem-fsspec"><span class="std std-ref">fsspec</span></a> |
| and <strong>pytz</strong>, <strong>dateutil</strong> or <strong>tzdata</strong> package for timezones.</p> |
| <section id="tzdata-on-windows"> |
| <h3>tzdata on Windows<a class="headerlink" href="#tzdata-on-windows" title="Permalink to this heading">#</a></h3> |
| <p>While Arrow uses the OS-provided timezone database on Linux and macOS, it requires a |
| user-provided database on Windows. To download and extract the text version of |
| the IANA timezone database follow the instructions in the C++ |
| <a class="reference internal" href="../cpp/build_system.html#download-timezone-database"><span class="std std-ref">Runtime Dependencies</span></a> or use pyarrow utility function |
| <code class="docutils literal notranslate"><span class="pre">pyarrow.util.download_tzdata_on_windows()</span></code> that does the same.</p> |
| <p>By default, the timezone database will be detected at <code class="docutils literal notranslate"><span class="pre">%USERPROFILE%\Downloads\tzdata</span></code>. |
| If the database has been downloaded in a different location, you will need to set |
| a custom path to the database from Python:</p> |
| <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">pyarrow</span> <span class="k">as</span> <span class="nn">pa</span> |
| <span class="gp">>>> </span><span class="n">pa</span><span class="o">.</span><span class="n">set_timezone_db_path</span><span class="p">(</span><span class="s2">"custom_path"</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| </section> |
| </section> |
| <section id="differences-between-conda-forge-packages"> |
| <span id="python-conda-differences"></span><h2>Differences between conda-forge packages<a class="headerlink" href="#differences-between-conda-forge-packages" title="Permalink to this heading">#</a></h2> |
| <p>On <a class="reference external" href="https://conda-forge.org/">conda-forge</a>, PyArrow is published as three |
| separate packages, each providing varying levels of functionality. This is in |
| contrast to PyPi, where only a single PyArrow package is provided.</p> |
| <p>The purpose of this split is to minimize the size of the installed package for |
| most users (<code class="docutils literal notranslate"><span class="pre">pyarrow</span></code>), provide a smaller, minimal package for specialized use |
| cases (<code class="docutils literal notranslate"><span class="pre">pyarrow-core</span></code>), while still providing a complete package for users who |
| require it (<code class="docutils literal notranslate"><span class="pre">pyarrow-all</span></code>). What was historically <code class="docutils literal notranslate"><span class="pre">pyarrow</span></code> on |
| <a class="reference external" href="https://conda-forge.org/">conda-forge</a> is now <code class="docutils literal notranslate"><span class="pre">pyarrow-all</span></code>, though most |
| users can continue using <code class="docutils literal notranslate"><span class="pre">pyarrow</span></code>.</p> |
| <p>The <code class="docutils literal notranslate"><span class="pre">pyarrow-core</span></code> package includes the following functionality:</p> |
| <ul class="simple"> |
| <li><p><a class="reference internal" href="data.html#data"><span class="std std-ref">Data Types and In-Memory Data Model</span></a></p></li> |
| <li><p><a class="reference internal" href="compute.html#compute"><span class="std std-ref">Compute Functions</span></a> (i.e., <code class="docutils literal notranslate"><span class="pre">pyarrow.compute</span></code>)</p></li> |
| <li><p><a class="reference internal" href="memory.html#io"><span class="std std-ref">Memory and IO Interfaces</span></a></p></li> |
| <li><p><a class="reference internal" href="ipc.html#ipc"><span class="std std-ref">Streaming, Serialization, and IPC</span></a> (i.e., <code class="docutils literal notranslate"><span class="pre">pyarrow.ipc</span></code>)</p></li> |
| <li><p><a class="reference internal" href="filesystems.html#filesystem"><span class="std std-ref">Filesystem Interface</span></a> (i.e., <code class="docutils literal notranslate"><span class="pre">pyarrow.fs</span></code>. Note: It’s planned to move cloud fileystems (i.e., <a class="reference internal" href="filesystems.html#filesystem-s3"><span class="std std-ref">S3</span></a>, <a class="reference internal" href="filesystems.html#filesystem-gcs"><span class="std std-ref">GCS</span></a>, etc) into <code class="docutils literal notranslate"><span class="pre">pyarrow</span></code> in a future release though <a class="reference internal" href="filesystems.html#filesystem-localfs"><span class="std std-ref">Local FS</span></a> will remain in <code class="docutils literal notranslate"><span class="pre">pyarrow-core</span></code>.)</p></li> |
| <li><p>File formats: <a class="reference internal" href="feather.html#feather"><span class="std std-ref">Arrow/Feather</span></a>, <a class="reference internal" href="json.html#json"><span class="std std-ref">JSON</span></a>, <a class="reference internal" href="csv.html#py-csv"><span class="std std-ref">CSV</span></a>, <a class="reference internal" href="orc.html#orc"><span class="std std-ref">ORC</span></a> (but not Parquet)</p></li> |
| </ul> |
| <p>The <code class="docutils literal notranslate"><span class="pre">pyarrow</span></code> package adds the following:</p> |
| <ul class="simple"> |
| <li><p>Acero (i.e., <code class="docutils literal notranslate"><span class="pre">pyarrow.acero</span></code>)</p></li> |
| <li><p><a class="reference internal" href="dataset.html#dataset"><span class="std std-ref">Tabular Datasets</span></a> (i.e., <code class="docutils literal notranslate"><span class="pre">pyarrow.dataset</span></code>)</p></li> |
| <li><p><a class="reference internal" href="parquet.html#parquet"><span class="std std-ref">Parquet</span></a> (i.e., <code class="docutils literal notranslate"><span class="pre">pyarrow.parquet</span></code>)</p></li> |
| <li><p>Substrait (i.e., <code class="docutils literal notranslate"><span class="pre">pyarrow.substrait</span></code>)</p></li> |
| </ul> |
| <p>Finally, <code class="docutils literal notranslate"><span class="pre">pyarrow-all</span></code> adds:</p> |
| <ul class="simple"> |
| <li><p><a class="reference internal" href="flight.html#flight"><span class="std std-ref">Arrow Flight RPC</span></a> and Flight SQL (i.e., <code class="docutils literal notranslate"><span class="pre">pyarrow.flight</span></code>)</p></li> |
| <li><p>Gandiva (i.e., <code class="docutils literal notranslate"><span class="pre">pyarrow.gandiva</span></code>)</p></li> |
| </ul> |
| <p>The following table lists the functionality provided by each package and may be |
| useful when deciding to use one package over another or when |
| <a class="reference internal" href="#python-conda-custom-selection"><span class="std std-ref">Creating A Custom Selection</span></a>.</p> |
| <table class="table"> |
| <tbody> |
| <tr class="row-odd"><td><p>Component</p></td> |
| <td><p>Package</p></td> |
| <td><p>pyarrow-core</p></td> |
| <td><p>pyarrow</p></td> |
| <td><p>pyarrow-all</p></td> |
| </tr> |
| <tr class="row-even"><td><p>Core</p></td> |
| <td><p>pyarrow-core</p></td> |
| <td><p>✓</p></td> |
| <td><p>✓</p></td> |
| <td><p>✓</p></td> |
| </tr> |
| <tr class="row-odd"><td><p>Parquet</p></td> |
| <td><p>libparquet</p></td> |
| <td></td> |
| <td><p>✓</p></td> |
| <td><p>✓</p></td> |
| </tr> |
| <tr class="row-even"><td><p>Dataset</p></td> |
| <td><p>libarrow-dataset</p></td> |
| <td></td> |
| <td><p>✓</p></td> |
| <td><p>✓</p></td> |
| </tr> |
| <tr class="row-odd"><td><p>Acero</p></td> |
| <td><p>libarrow-acero</p></td> |
| <td></td> |
| <td><p>✓</p></td> |
| <td><p>✓</p></td> |
| </tr> |
| <tr class="row-even"><td><p>Substrait</p></td> |
| <td><p>libarrow-substrait</p></td> |
| <td></td> |
| <td><p>✓</p></td> |
| <td><p>✓</p></td> |
| </tr> |
| <tr class="row-odd"><td><p>Flight</p></td> |
| <td><p>libarrow-flight</p></td> |
| <td></td> |
| <td></td> |
| <td><p>✓</p></td> |
| </tr> |
| <tr class="row-even"><td><p>Flight SQL</p></td> |
| <td><p>libarrow-flight-sql</p></td> |
| <td></td> |
| <td></td> |
| <td><p>✓</p></td> |
| </tr> |
| <tr class="row-odd"><td><p>Gandiva</p></td> |
| <td><p>libarrow-gandiva</p></td> |
| <td></td> |
| <td></td> |
| <td><p>✓</p></td> |
| </tr> |
| </tbody> |
| </table> |
| <section id="creating-a-custom-selection"> |
| <span id="python-conda-custom-selection"></span><h3>Creating A Custom Selection<a class="headerlink" href="#creating-a-custom-selection" title="Permalink to this heading">#</a></h3> |
| <p>If you know which components you need and want to control what’s installed, you |
| can create a custom selection of packages to include only the extra features you |
| need. For example, to install <code class="docutils literal notranslate"><span class="pre">pyarrow-core</span></code> and add support for reading and |
| writing Parquet, install <code class="docutils literal notranslate"><span class="pre">libparquet</span></code> alongside <code class="docutils literal notranslate"><span class="pre">pyarrow-core</span></code>:</p> |
| <div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>conda<span class="w"> </span>install<span class="w"> </span>-c<span class="w"> </span>conda-forge<span class="w"> </span>pyarrow-core<span class="w"> </span>libparquet |
| </pre></div> |
| </div> |
| <p>Or if you wish to use <code class="docutils literal notranslate"><span class="pre">pyarrow</span></code> but need support for Flight RPC:</p> |
| <div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>conda<span class="w"> </span>install<span class="w"> </span>-c<span class="w"> </span>conda-forge<span class="w"> </span>pyarrow<span class="w"> </span>libarrow-flight |
| </pre></div> |
| </div> |
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