radish-rs 0.2.5

High-performance weather radar data library with Rust core

Radish Python Bindings

High-performance weather radar data library with Rust core and Python bindings.

Installation

From source

# Install maturin
pip install maturin

# Build and install in development mode
cd python
maturin develop --release

# Or build a wheel
maturin build --release
pip install target/wheels/radish-*.whl

With xarray support

pip install radish[xarray]

Quick Start

Basic Usage

import radish

# Read a CfRadial1 file
volume = radish.read_cfradial1("cfrad.nc")

# Access metadata
print(f"Instrument: {volume.metadata.instrument_name}")
print(f"Sweeps: {volume.num_sweeps}")

# Access sweep data
sweep = volume.get_sweep(0)
print(f"Rays: {sweep.num_rays}, Gates: {sweep.num_gates}")
print(f"Moments: {sweep.moment_names()}")

# Access moment data
dbz = sweep.get_moment("DBZH")
data = dbz.data()  # Returns numpy array
print(f"Reflectivity shape: {data.shape}")

With xarray

from datatree import DataTree

# Open as DataTree
radar = DataTree.open_datatree("cfrad.nc", engine="radish")

# Access sweeps
sweep_0 = radar["sweep_0"].ds

# Work with xarray
sweep_0["DBZH"].plot()

Performance

Radish uses Rust for performance-critical operations:

• 10-100x faster file parsing than pure Python
• Memory-efficient data structures
• Minimal Python overhead

Development

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Format code
black radish/
ruff check radish/

# Build documentation
cd docs && make html

License

Licensed under either of:

• Apache License, Version 2.0 (LICENSE-APACHE)
• MIT license (LICENSE-MIT)

at your option.