Skip to main content

Single Particle Image Format (SPIF) data converter and interface

Project description

SPIFpy

NRC's Single Particle Image Format (SPIF) conversion utility. Version 1.0 (Release date 9 December, 2021)

About

SPIFpy is a set of Command Line Interface(CLI) tools which allow for the conversion of files stored in a variety of raw imaging probe formats to the SPIF format. The package is written in Python, and includes the following utilities:

  • spifpy-extract: Convert a file in a raw imaging probe format to the SPIF format.
  • spifpy-addaux: Add auxiliary data to a file in the SPIF format.
  • spifpy-cc: Copy the configuration files required for processing with spifpy and spifaddaux.

Installation Requirements

Installation is preferably done in a virtual environment

Installation

Linux/MacOS

$ git clone git@github.com:GraupelLabs/spifpy.git
$ cd /path/to/spifpy
$ pip install .

For those who are actively developing spifpy, you can change the last line to pip install --editable ..

Windows

$ cd /path/to/spifpy
$ conda env create -f environment.yml
$ conda activate spifpy
$ pip install .

Example usage with 2DS imaging probe (SPEC Inc.)

  1. Copy over required configuration files using spifpy-cc, and make any desired modifications to the config files. In this case, the config files will include 2DS.ini which defines config options for extracting and storing 2DS data, and also aux_config.ini, which specifies configuration options for adding auxiliary data.
$ spifpy-cc 2DS
  1. Process the file of interest using spifpy-extract
$ spifpy-extract example_file.2DS 2DS.ini
  1. Add auxiliary information to the SPIF file using spifaddaux(optional), but only for the 2DS-V dataset.
$ spifpy-addaux example_file_2DS.nc auxiliary_file.nc -i 2DS-V -c aux_config.ini

Supported probes

Currently the following Optical Array Probes (OAP) are supported:

  • 2DC (Two Dimension Cloud particle imaging probe)
  • 2DP (Two Dimension Precipitation particle imaging probe)
  • 2DS (2D-Stereo, SPEC Inc.)
  • CIP (Cloud Imaging Probe, DMT)
  • PIP (Precipitation Imaging Probe, DMT)
  • HVPS (High Volume Precipitation Spectrometer, SPEC Inc.)

Citations

  • Bala, K., Freer, M., Bliankinshtein, N., Nichman, L., Shilin, S. and Wolde, M.: Standardized Imaging Probe Format and Algorithms: Implementation and Applications, 18th International Conference on Clouds and Precipitation (ICCP), Pune, India, 2-6 August, 2021.
  • NRC Single Particle Image Format (SPIF) conversion utility, https://doi.org/10.4224/40002712, 2021

Acknowledgments

We acknowledge CloudSci LLC for the support in the development of this tool

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

spifpy-1.0.3.tar.gz (201.0 kB view details)

Uploaded Source

Built Distribution

spifpy-1.0.3-py3-none-any.whl (63.2 kB view details)

Uploaded Python 3

File details

Details for the file spifpy-1.0.3.tar.gz.

File metadata

  • Download URL: spifpy-1.0.3.tar.gz
  • Upload date:
  • Size: 201.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for spifpy-1.0.3.tar.gz
Algorithm Hash digest
SHA256 041f8c247c86812537b27a00288c876c0402ab197192252fa597c4664b82b43a
MD5 0bc8e9d355695e089ceef86ee0193e64
BLAKE2b-256 1909d81a646a7b74c43873bf8ef96005eeedd7fe6a02a53008c8f9e09ad93afb

See more details on using hashes here.

File details

Details for the file spifpy-1.0.3-py3-none-any.whl.

File metadata

  • Download URL: spifpy-1.0.3-py3-none-any.whl
  • Upload date:
  • Size: 63.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for spifpy-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 4e7eb565e68d1bd6d865ac13a1a903851186ea09b49b159e8865eef072f89505
MD5 b797f6bc97ca66d1f310517eb155fabc
BLAKE2b-256 eb4adb6d4598645f21a86528c1f6bada0cd52e74fd7a6b266847b284779e8b15

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page