Skip to main content

Ctrl+K

Specifications
Development
- C/GLib
- C++
- C#
- Go
- Java
- JavaScript
- Julia
- MATLAB
- nanoarrow
- Python
- R
- Ruby
- Rust
- Implementation Status
- C++ cookbook
- Java cookbook
- Python cookbook
- R cookbook

GitHub
X

Specifications
Development
C/GLib
C++
C#
Go
Java
JavaScript
Julia
MATLAB
nanoarrow
Python
R
Ruby
Rust
Implementation Status
C++ cookbook
Java cookbook
Python cookbook
R cookbook

GitHub
X

Section Navigation

Installing PyArrow
Getting Started
Data Types and In-Memory Data Model
Compute Functions
Memory and IO Interfaces
Streaming, Serialization, and IPC
Filesystem Interface
NumPy Integration
Pandas Integration
Dataframe Interchange Protocol
The DLPack Protocol
Timestamps
Reading and Writing the Apache ORC Format
Reading and Writing CSV files
Feather File Format
Reading JSON files
Reading and Writing the Apache Parquet Format
Tabular Datasets
Arrow Flight RPC
Extending pyarrow
PyArrow Integrations
Environment Variables
API Reference
Getting Involved
Benchmarks
Python cookbook

Python
API Reference
Data Types and Schemas
pyarrow.types.is_int16

pyarrow.types.is_int16#

pyarrow.types.is_int16(t)[source]#

Return True if value is an instance of type: int16.

Parameters:

tDataType

previous

pyarrow.types.is_int8

next

pyarrow.types.is_int32

On this page

is_int16()

© Copyright 2016-2024 Apache Software Foundation. Apache Arrow, Arrow, Apache, the Apache feather logo, and the Apache Arrow project logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.

Created using Sphinx 6.2.0.

Built with the PyData Sphinx Theme 0.16.0.