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Supported Environments

  • C/GLib
  • C++
    • User Guide
      • High-Level Overview
      • Conventions
      • Using Arrow C++ in your own project
      • Memory Management
      • Arrays
      • Data Types
      • Tabular Data
      • Compute Functions
      • Streaming execution engine
      • Input / output and filesystems
      • Reading and writing the Arrow IPC format
      • Reading and writing Parquet files
      • Reading and Writing CSV files
      • Reading JSON files
      • Tabular Datasets
      • Arrow Flight RPC
    • Examples
      • Minimal build using CMake
      • Compute and Write CSV Example
      • Arrow Datasets example
      • Row to columnar conversion
      • std::tuple-like ranges to Arrow
    • API Reference
      • Programming Support
      • Memory (management)
      • Data Types
      • Arrays
      • Scalars
      • Array Builders
      • Two-dimensional Datasets
      • C Interfaces
      • Compute Functions
      • Tensors
      • Utilities
      • Input / output
      • Arrow IPC
      • File Formats
      • CUDA support
      • Arrow Flight RPC
      • Filesystems
      • Dataset
  • C#
  • Go
  • Java
    • ValueVector
    • VectorSchemaRoot
    • Reading/Writing IPC formats
    • Java Algorithms
    • Reference (javadoc)
  • JavaScript
  • Julia
  • MATLAB
  • Python
    • Installing PyArrow
    • Getting Started
    • Data Types and In-Memory Data Model
    • Compute Functions
    • Memory and IO Interfaces
    • Streaming, Serialization, and IPC
    • Filesystem Interface
    • Filesystem Interface (legacy)
      • pyarrow.hdfs.connect
      • pyarrow.HadoopFileSystem.cat
      • pyarrow.HadoopFileSystem.chmod
      • pyarrow.HadoopFileSystem.chown
      • pyarrow.HadoopFileSystem.delete
      • pyarrow.HadoopFileSystem.df
      • pyarrow.HadoopFileSystem.disk_usage
      • pyarrow.HadoopFileSystem.download
      • pyarrow.HadoopFileSystem.exists
      • pyarrow.HadoopFileSystem.get_capacity
      • pyarrow.HadoopFileSystem.get_space_used
      • pyarrow.HadoopFileSystem.info
      • pyarrow.HadoopFileSystem.ls
      • pyarrow.HadoopFileSystem.mkdir
      • pyarrow.HadoopFileSystem.open
      • pyarrow.HadoopFileSystem.rename
      • pyarrow.HadoopFileSystem.rm
      • pyarrow.HadoopFileSystem.upload
      • pyarrow.HdfsFile
    • The Plasma In-Memory Object Store
    • NumPy Integration
    • Pandas Integration
    • Timestamps
    • Reading and Writing CSV files
    • Feather File Format
    • Reading JSON files
    • Reading and Writing the Apache Parquet Format
    • Tabular Datasets
    • CUDA Integration
    • Extending pyarrow
    • Using pyarrow from C++ and Cython Code
    • API Reference
      • Data Types and Schemas
      • Arrays and Scalars
      • Buffers and Memory
      • Compute Functions
      • Streams and File Access
      • Tables and Tensors
      • Serialization and IPC
      • Arrow Flight
      • Tabular File Formats
      • Filesystems
      • Dataset
      • Plasma In-Memory Object Store
      • CUDA Integration
      • Miscellaneous
    • Getting Involved
    • Benchmarks
  • R
  • Ruby
  • Rust
  • Implementation Status

Cookbooks

  • C++
  • Python
  • R

Specifications and Protocols

  • Format Versioning and Stability
  • Arrow Columnar Format
  • Arrow Flight RPC
  • Integration Testing
  • The Arrow C data interface
  • The Arrow C stream interface
  • Other Data Structures

Development

  • Contributing to Apache Arrow
  • C++ Development
    • Building Arrow C++
    • Development Guidelines
    • Developing on Windows
    • Conventions
    • Fuzzing Arrow C++
  • Python Development
  • Daily Development using Archery
  • Packaging and Testing with Crossbow
  • Running Docker Builds
  • Benchmarks
  • Building the Documentation
  • Arrow Compute IR (Intermediate Representation)

API ReferenceΒΆ

  • Data Types and Schemas
    • Factory Functions
    • Utility Functions
    • Type Classes
    • Type Checking
  • Arrays and Scalars
    • Factory Functions
    • Array Types
    • Scalars
  • Buffers and Memory
    • In-Memory Buffers
    • Memory Pools
  • Compute Functions
    • Aggregations
    • Grouped Aggregations
    • Arithmetic Functions
    • Bit-wise Functions
    • Rounding Functions
    • Logarithmic Functions
    • Trigonometric Functions
    • Comparisons
    • Logical Functions
    • String Predicates
    • String Transforms
    • String Padding
    • String Trimming
    • String Splitting
    • String Component Extraction
    • String Joining
    • String Slicing
    • Containment Tests
    • Categorizations
    • Selecting / Multiplexing
    • Conversions
    • Temporal Component Extraction
    • Temporal Difference
    • Timezone Handling
    • Associative Transforms
    • Selections
    • Sorts and Partitions
    • Structural Transforms
  • Streams and File Access
    • Factory Functions
    • Stream Classes
    • File Systems
  • Tables and Tensors
    • Factory Functions
    • Classes
    • Tensors
  • Serialization and IPC
    • Inter-Process Communication
    • Serialization
  • Arrow Flight
    • Common Types
    • Flight Client
    • Flight Server
    • Authentication
    • Middleware
  • Tabular File Formats
    • CSV Files
    • Feather Files
    • JSON Files
    • Parquet Files
    • ORC Files
  • Filesystems
    • Interface
    • Concrete Subclasses
  • Dataset
    • Factory functions
    • Classes
  • Plasma In-Memory Object Store
    • Classes
  • CUDA Integration
    • CUDA Contexts
    • CUDA Buffers
    • Serialization and IPC
  • Miscellaneous
    • Multi-Threading
    • Using with C extensions

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Using pyarrow from C++ and Cython Code

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Data Types and Schemas

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