https://github.com/arm-doe/pysp2

Python package for processing SP2 data.

https://github.com/arm-doe/pysp2

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    7 of 12 committers (58.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.1%) to scientific vocabulary

Keywords from Contributors

atmospheric-science corrections meteorological-data meteorology retrieval
Last synced: 10 months ago · JSON representation

Repository

Python package for processing SP2 data.

Basic Info
  • Host: GitHub
  • Owner: ARM-DOE
  • License: bsd-2-clause
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 21.1 MB
Statistics
  • Stars: 8
  • Watchers: 2
  • Forks: 6
  • Open Issues: 5
  • Releases: 4
Created about 7 years ago · Last pushed 10 months ago
Metadata Files
Readme License

README.md

PyPI version ARM

PySP2

This is a python package for processing and visualizing SP2 data. It is based off of the IGOR code developed by Droplet Measurement Technologies. PySP2 currently supports processing all raw SP2 data (.sp2b, .hk, .ini) files into mass and number size distributions. It can plot individual waveforms as well as particle size distributions. Its file format is based off of the standard provided by the Atmospheric Community Toolkit which is based around xarray. PySP2 is currently used by the Department of Energy Atmospheric Radiation Measurment (ARM) Facility in order to process SP2 observations during field deployments such as TRACER and SAIL.

Plot of a waveform

Important links

Documentation: https://arm-doe.github.io/PySP2/

Examples: https://arm-doe.github.io/PySP2/source/autoexamples/plotread_sp2b.html

Dependencies

Python 3.7+

xarray

Atmospheric Community Toolkit

scipy

numpy

pandas

Installation

PySP2 is pip installable through:

pip install pysp2

In addition, PySP2 is available on conda-forge. Therefore, anyone with Anaconda can install PySP2 as such:

conda install -c conda-forge pysp2

References

For more information about how particle sizes are derived from SP2 signals using calibration, please consult the following references:

M. Irwin, Y. Kondo, N. Moteki & T. Miyakawa: Evaluation of a Heated-Inlet for Calibration of the SP2, Aerosol Science and Technology, 47:8, 895-905, DOI: 10.1080/02786826.2013.800187, 2013

Gysel, M., Laborde, M., Olfert, J. S., Subramanian, R., and Gröhn, A. J.: Effective density of Aquadag and fullerene soot black carbon reference materials used for SP2 calibration, Atmos. Meas. Tech., 4, 2851–2858, https://doi.org/10.5194/amt-4-2851-2011, 2011.

Owner

  • Name: ARM User Facility
  • Login: ARM-DOE
  • Kind: organization

GitHub Events

Total
  • Pull request event: 2
  • Create event: 1
Last Year
  • Pull request event: 2
  • Create event: 1

Committers

Last synced: about 3 years ago

All Time
  • Total Commits: 140
  • Total Committers: 12
  • Avg Commits per committer: 11.667
  • Development Distribution Score (DDS): 0.564
Past Year
  • Commits: 40
  • Committers: 5
  • Avg Commits per committer: 8.0
  • Development Distribution Score (DDS): 0.25
Top Committers
Name Email Commits
Bobby Jackson r****n@a****v 61
John Backman j****n@f****i 30
Robert Jackson r****n@c****v 25
Robert Jackson r****n@e****v 6
Robert Jackson r****n@e****v 6
mgrover1 m****2@g****m 3
Robert Jackson r****n@c****v 2
Robert Jackson r****n@e****v 2
Robert Jackson r****n@e****v 2
Robert Jackson r****n@e****v 1
Robert Jackson r****n@R****l 1
Robert Jackson r****n@R****l 1

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 7
  • Total pull requests: 81
  • Average time to close issues: 10 months
  • Average time to close pull requests: 4 days
  • Total issue authors: 7
  • Total pull request authors: 5
  • Average comments per issue: 1.29
  • Average comments per pull request: 0.52
  • Merged pull requests: 70
  • Bot issues: 0
  • Bot pull requests: 3
Past Year
  • Issues: 1
  • Pull requests: 11
  • Average time to close issues: N/A
  • Average time to close pull requests: 2 minutes
  • Issue authors: 1
  • Pull request authors: 2
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 1
Top Authors
Issue Authors
  • mdpetters (1)
  • mgrover1 (1)
  • AdamTheisen (1)
  • bsumlin (1)
  • rcjackson (1)
  • josephko91 (1)
  • evanlouis563 (1)
Pull Request Authors
  • rcjackson (60)
  • zssherman (10)
  • johbackm (6)
  • dependabot[bot] (3)
  • mgrover1 (2)
Top Labels
Issue Labels
Pull Request Labels
dependencies (3) github_actions (1)

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 943 last-month
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 1
    (may contain duplicates)
  • Total versions: 20
  • Total maintainers: 2
pypi.org: pysp2

Py-SP2

  • Versions: 19
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 943 Last month
Rankings
Downloads: 8.1%
Dependent packages count: 10.1%
Forks count: 14.2%
Average: 14.7%
Stargazers count: 19.4%
Dependent repos count: 21.6%
Maintainers (2)
Last synced: 10 months ago
conda-forge.org: pysp2

This is a python package for processing and visualizing SP2 data. It is based off of the IGOR code developed by Droplet Measurement Technologies. PySP2 currently supports processing all raw SP2 data (.sp2b, .hk, .ini) files into mass and number size distributions. It can plot individual waveforms as well as particle size distributions. Its file format is based off of the standard provided by the Atmospheric Community Toolkit which is based around xarray. PySP2 is currently used by the Department of Energy Atmospheric Radiation Measurment (ARM) Facility in order to process SP2 observations during field deployments such as TRACER, SAIL, and COURAGE.

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent repos count: 34.0%
Average: 47.3%
Forks count: 49.6%
Dependent packages count: 51.2%
Stargazers count: 54.5%
Last synced: 10 months ago

Dependencies

docs/requirements.txt pypi
  • act-atmos *
  • matplotlib *
  • numpydoc *
  • sphinx_gallery *
  • sphinx_rtd_theme *
  • xarray *
requirements.txt pypi
  • act-atmos *
  • matplotlib *
  • numpy *
  • pandas *
  • scipy *
  • xarray *
  • xlrd *
test-requirements.txt pypi
  • pytest * test
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