Radar Data

This is a collection of radar data readers, a CF-Radial radar data writer, and charting routines.

Supported input formats:

WDSS-II
CF-Radial 1.3 / CF-1.6
CF-Radial 1.4 / CF-1.6
CF-Radial 1.4 / CF-1.7
CF-Radial 2.0 (draft)
NEXRAD Level II

Supported output format:

CF-Radial 1.4

Installation

pip install radar-data

Examples

import radar

# Get the absolute path of the .nc file, reader automatically gets -V, -W, etc.
file = os.path.expanduser("~/Downloads/data/PX-20240529-150246-E4.0-Z.nc")
sweep = radar.read(file)

# It also works with providing the original .tar.xz or .txz archive
file = os.path.expanduser("~/Downloads/data/PX-20240529-150246-E4.0.txz")
sweep = radar.read(file)

# NEXRAD LDM data feed, simply supply any of the files, the reader reads sweep_index=0 by default
file = os.path.expanduser("~/Downloads/data/KTLX/861/KTLX-20250503-122438-861-1-S")
sweep = radar.read(file)

# The reader finds others in ~/Downloads/data/KTLX/861/ to get to sweep_index=1
file = os.path.expanduser("~/Downloads/data/KTLX/861/KTLX-20250503-122438-861-7-I")
sweep = radar.read(file, sweep_index=1)

# NEXRAD complete volume
file = os.path.expanduser("~/Downloads/data/KTLX/20250503/KTLX20250503_122438_V06")
sweep = radar.read(file, sweep_index=1)

# Writing a CF-Radial file
radar.write("output-file.nc", sweep)

To draw a chart:

import radar

# Read a sweep as before
sweep = radar.read(file)

# You can initialize a chart without data
chart = radar.chart.ChartPPI()

# You can also pass it the sweep
chart = radar.chart.ChartPPI(sweep)

# You can replace the content of the chart
chart.set_data(sweep)

# Some customizations:
chart.set_data(sweep, rmax=60, xoff=-10, yoff=-10)

# If, for some reasons, the chart does not show up, the figure is
chart.fig

# You can save the figure as an image using the matplotlib figure.savefig
chart.fig.savefir(FILENAME)

DataShop

A data server for multi-threaded reading. An example use case would be to abstract the file reading backend to this service so that multiple requests can be pipelined.

usage: datashop [-h] [-c COUNT] [-d DIR] [-H HOST] [-p PORT] [-t TEST] [-v] [--delay] [--version] [source ...]

Datashop

Examples:
    datashop -v settings.yaml
    datashop -v -H 10.197.14.52 -p 50001 -c 4 -t /mnt/data/PX1000/2024/20241219/_original

positional arguments:
  source                configuration

options:
  -h, --help            show this help message and exit
  -c COUNT, --count COUNT
                        count
  -d DIR, --dir DIR     directory
  -H HOST, --host HOST  host
  -p PORT, --port PORT  port
  -t TEST, --test TEST  test using directory
  -v                    increases verbosity
  --delay               simulate request delays
  --version             show program's version number and exit

Example Configuration

host: 0.0.0.0
port: 50000
count: 8
cache: 3000
logfile: /var/log/radarhub/datashop.log
utc: true

Unit Tests

Make a symbolic link to a subfolder data under this repository. If the folder data has no data, the test will download the test data from our server.

To run a set of reading tests through pytest:

mkdir ~/Downloads/test-data
ln -s ~/Downloads/test-data data
pytest -s

Metadata

Release files for radar-data 1.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for radar-data 1.6
File	Size	Uploaded
radar_data-1.6.tar.gz	3.5 MB	Jun 9, 2026	Details

Release files / radar_data-1.6.tar.gz

Download URL	radar_data-1.6.tar.gz
Size	3.5 MB
Tags	Source
SHA-256 checksum How to use checksums	`0e9dedcd60e903d9868237e1e4136ea85491084a4809e7a81164fc06c7763896`
BLAKE2b-256 checksum How to use checksums	`1e1d12b1d8297db4ae48e4fd3921b66a9ae8a6c8652f60cc48736fc29e371814`
Upload date	Jun 9, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.14.4`