PnetCDF-Python User Guide

Release: 1.0.0

PnetCDF-python is a Python interface to PnetCDF, a high-performance parallel I/O library for accessing netCDF files. This integration with Python allows for easy manipulation, analysis, and visualization of netCDF data using the rich ecosystem of Python’s scientific computing libraries, making it a valuable tool for python-based applications that require high-performance access to netCDF files.

Installation

• Installation
  • Quick Install
  • Install from Source

Tutorial

• Basics
  • Running Python scripts with MPI
  • Creating/Opening/Closing a netCDF file
  • Dimensions
  • Variables
  • Attributes
  • Writing to a variable
  • Reading from a variable
• Data type
• Parallel Read and Write
  • NumPy Slicing Syntax
  • Method Call of put_var()/get_var()
• Nonblocking Reads and Writes
  • Nonblocking Write
  • Nonblocking Read
  • Commit Read/Write Requests
  • Buffered Nonblocking Write
• Comparing with netCDF4-python
  • Supported File Formats
  • Difference in Programming Model
  • Alternative Reads and Writes Methods
  • Nonblocking I/O

API Reference

• Files
  • dimensions
  • variables
  • file_format
• Dimensions
  • name
  • size
• Variables
  • name
  • dtype
  • datatype
  • shape
  • ndim
  • size
  • dimensions
  • chartostring
• Attributes
• Other pnetcdf class methods

Copyright

• Copyright Statement