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| <div class="section" id="python-bindings"> |
| <h1>Python bindings<a class="headerlink" href="#python-bindings" title="Permalink to this headline">¶</a></h1> |
| <p>This is the documentation of the Python API of Apache Arrow. For more details |
| on the Arrow format and other language bindings see the |
| <a class="reference internal" href="../index.html"><span class="doc">parent documentation</span></a>.</p> |
| <p>The Arrow Python bindings (also named “PyArrow”) have first-class integration |
| with NumPy, pandas, and built-in Python objects. They are based on the C++ |
| implementation of Arrow.</p> |
| <p>Here will we detail the usage of the Python API for Arrow and the leaf |
| libraries that add additional functionality such as reading Apache Parquet |
| files into Arrow structures.</p> |
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| <li class="toctree-l1"><a class="reference internal" href="install.html">Installing PyArrow</a><ul> |
| <li class="toctree-l2"><a class="reference internal" href="install.html#system-compatibility">System Compatibility</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="install.html#python-compatibility">Python Compatibility</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="install.html#using-conda">Using Conda</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="install.html#using-pip">Using Pip</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="install.html#installing-from-source">Installing from source</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="install.html#installing-nightly-packages">Installing Nightly Packages</a></li> |
| </ul> |
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| <li class="toctree-l1"><a class="reference internal" href="memory.html">Memory and IO Interfaces</a><ul> |
| <li class="toctree-l2"><a class="reference internal" href="memory.html#referencing-and-allocating-memory">Referencing and Allocating Memory</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="memory.html#input-and-output">Input and Output</a></li> |
| </ul> |
| </li> |
| <li class="toctree-l1"><a class="reference internal" href="data.html">Data Types and In-Memory Data Model</a><ul> |
| <li class="toctree-l2"><a class="reference internal" href="data.html#type-metadata">Type Metadata</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="data.html#schemas">Schemas</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="data.html#arrays">Arrays</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="data.html#record-batches">Record Batches</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="data.html#tables">Tables</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="data.html#custom-schema-and-field-metadata">Custom Schema and Field Metadata</a></li> |
| </ul> |
| </li> |
| <li class="toctree-l1"><a class="reference internal" href="compute.html">Compute Functions</a></li> |
| <li class="toctree-l1"><a class="reference internal" href="ipc.html">Streaming, Serialization, and IPC</a><ul> |
| <li class="toctree-l2"><a class="reference internal" href="ipc.html#writing-and-reading-streams">Writing and Reading Streams</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="ipc.html#arbitrary-object-serialization">Arbitrary Object Serialization</a></li> |
| </ul> |
| </li> |
| <li class="toctree-l1"><a class="reference internal" href="filesystems.html">Filesystem Interface</a><ul> |
| <li class="toctree-l2"><a class="reference internal" href="filesystems.html#usage">Usage</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="filesystems.html#s3">S3</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="filesystems.html#hadoop-file-system-hdfs">Hadoop File System (HDFS)</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="filesystems.html#using-fsspec-compatible-filesystems">Using fsspec-compatible filesystems</a></li> |
| </ul> |
| </li> |
| <li class="toctree-l1"><a class="reference internal" href="filesystems_deprecated.html">Filesystem Interface (legacy)</a><ul> |
| <li class="toctree-l2"><a class="reference internal" href="filesystems_deprecated.html#hadoop-file-system-hdfs">Hadoop File System (HDFS)</a></li> |
| </ul> |
| </li> |
| <li class="toctree-l1"><a class="reference internal" href="plasma.html">The Plasma In-Memory Object Store</a><ul> |
| <li class="toctree-l2"><a class="reference internal" href="plasma.html#the-plasma-api">The Plasma API</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="plasma.html#using-arrow-and-pandas-with-plasma">Using Arrow and Pandas with Plasma</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="plasma.html#using-plasma-with-huge-pages">Using Plasma with Huge Pages</a></li> |
| </ul> |
| </li> |
| <li class="toctree-l1"><a class="reference internal" href="numpy.html">NumPy Integration</a><ul> |
| <li class="toctree-l2"><a class="reference internal" href="numpy.html#numpy-to-arrow">NumPy to Arrow</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="numpy.html#arrow-to-numpy">Arrow to NumPy</a></li> |
| </ul> |
| </li> |
| <li class="toctree-l1"><a class="reference internal" href="pandas.html">Pandas Integration</a><ul> |
| <li class="toctree-l2"><a class="reference internal" href="pandas.html#dataframes">DataFrames</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="pandas.html#series">Series</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="pandas.html#handling-pandas-indexes">Handling pandas Indexes</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="pandas.html#type-differences">Type differences</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="pandas.html#memory-usage-and-zero-copy">Memory Usage and Zero Copy</a></li> |
| </ul> |
| </li> |
| <li class="toctree-l1"><a class="reference internal" href="timestamps.html">Timestamps</a><ul> |
| <li class="toctree-l2"><a class="reference internal" href="timestamps.html#arrow-pandas-timestamps">Arrow/Pandas Timestamps</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="timestamps.html#timestamp-conversions">Timestamp Conversions</a></li> |
| </ul> |
| </li> |
| <li class="toctree-l1"><a class="reference internal" href="csv.html">Reading CSV files</a><ul> |
| <li class="toctree-l2"><a class="reference internal" href="csv.html#usage">Usage</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="csv.html#customized-parsing">Customized parsing</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="csv.html#customized-conversion">Customized conversion</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="csv.html#incremental-reading">Incremental reading</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="csv.html#character-encoding">Character encoding</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="csv.html#performance">Performance</a></li> |
| </ul> |
| </li> |
| <li class="toctree-l1"><a class="reference internal" href="feather.html">Feather File Format</a><ul> |
| <li class="toctree-l2"><a class="reference internal" href="feather.html#using-compression">Using Compression</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="feather.html#writing-version-1-v1-files">Writing Version 1 (V1) Files</a></li> |
| </ul> |
| </li> |
| <li class="toctree-l1"><a class="reference internal" href="json.html">Reading JSON files</a><ul> |
| <li class="toctree-l2"><a class="reference internal" href="json.html#usage">Usage</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="json.html#automatic-type-inference">Automatic Type Inference</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="json.html#customized-parsing">Customized parsing</a></li> |
| </ul> |
| </li> |
| <li class="toctree-l1"><a class="reference internal" href="parquet.html">Reading and Writing the Apache Parquet Format</a><ul> |
| <li class="toctree-l2"><a class="reference internal" href="parquet.html#obtaining-pyarrow-with-parquet-support">Obtaining pyarrow with Parquet Support</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="parquet.html#reading-and-writing-single-files">Reading and Writing Single Files</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="parquet.html#finer-grained-reading-and-writing">Finer-grained Reading and Writing</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="parquet.html#inspecting-the-parquet-file-metadata">Inspecting the Parquet File Metadata</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="parquet.html#data-type-handling">Data Type Handling</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="parquet.html#compression-encoding-and-file-compatibility">Compression, Encoding, and File Compatibility</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="parquet.html#partitioned-datasets-multiple-files">Partitioned Datasets (Multiple Files)</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="parquet.html#writing-to-partitioned-datasets">Writing to Partitioned Datasets</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="parquet.html#reading-from-partitioned-datasets">Reading from Partitioned Datasets</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="parquet.html#using-with-spark">Using with Spark</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="parquet.html#multithreaded-reads">Multithreaded Reads</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="parquet.html#reading-a-parquet-file-from-azure-blob-storage">Reading a Parquet File from Azure Blob storage</a></li> |
| </ul> |
| </li> |
| <li class="toctree-l1"><a class="reference internal" href="dataset.html">Tabular Datasets</a><ul> |
| <li class="toctree-l2"><a class="reference internal" href="dataset.html#reading-datasets">Reading Datasets</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="dataset.html#filtering-data">Filtering data</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="dataset.html#reading-partitioned-data">Reading partitioned data</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="dataset.html#reading-from-cloud-storage">Reading from cloud storage</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="dataset.html#reading-from-minio">Reading from Minio</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="dataset.html#working-with-parquet-datasets">Working with Parquet Datasets</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="dataset.html#manual-specification-of-the-dataset">Manual specification of the Dataset</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="dataset.html#manual-scheduling">Manual scheduling</a></li> |
| </ul> |
| </li> |
| <li class="toctree-l1"><a class="reference internal" href="cuda.html">CUDA Integration</a><ul> |
| <li class="toctree-l2"><a class="reference internal" href="cuda.html#cuda-contexts">CUDA Contexts</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="cuda.html#cuda-buffers">CUDA Buffers</a></li> |
| <li class="toctree-l2"><a class="reference internal" href="cuda.html#numba-integration">Numba Integration</a></li> |
| </ul> |
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