Python Packages Available in Resen-core¶
This version of resen-core includes one python virtual environment, py38, based on python3.8. Below are the packages available in that environment.
Python Packages included¶
| Package | Version | Application | Source |
|---|---|---|---|
| aacgmv2 | 2.6.2 | AACGM magnetic coordinate system | https://pypi.org/project/aacgmv2/ |
| apexpy | 1.1.0 | Apex magnetic coordinate system | https://pypi.org/project/apexpy/ |
| astropy | 4.2.1.post1 | Packages for use in astronomy | https://www.astropy.org/ |
| basemap | 1.2.1 | Mapping | https://matplotlib.org/basemap/ |
| bokeh | 2.3.2 | Interactive visualization library | https://bokeh.pydata.org/en/latest/ |
| cartopy | 0.19.0 | Mapping | https://scitools.org.uk/cartopy/docs/latest/ |
| cdflib | 0.3.20 | CDF data format | https://pypi.org/project/cdflib/ |
| citationhelper | 0.3 | Tracking software to cite | https://pypi.org/project/citationhelper/ |
| ephem | 3.7.7.1 | High-prcision astronomy computations | https://rhodesmill.org/pyephem/ |
| h5py | 3.2.1 | HDF5 binary data format | https://www.h5py.org/ |
| igrf | 13.0.0 | IGRF empirical model | https://pypi.org/project/igrf/ |
| iri2016 | 1.11.1 | IRI empirical model | https://pypi.org/project/iri2016/ |
| madrigalweb | 3.1.12 | Accessing the Madrigal database | http://cedar.openmadrigal.org/docs/name/rr_python.html |
| mangopy | 0.1 | MANGO data analysis | https://github.com/astib/MANGO |
| matplotlib | 3.4.2 | Basic plotting | https://matplotlib.org/ |
| msise00 | 1.10.0 | NRL MSISE-00 empirical model | https://pypi.org/project/msise00/ |
| netcdf4 | 1.5.6 | netCDF4 data format | https://unidata.github.io/netcdf4-python/netCDF4/index.html |
| numpy | 1.20.3 | Numerical array handling | http://www.numpy.org/ |
| OMMBV | 0.5.4 | Magnetic basis vectors | https://pypi.org/project/OMMBV/ |
| pandas | 1.2.4 | Data analysis | https://pandas.pydata.org/ |
| plasmapy | 0.6.0 | Package for plasma research | https://www.plasmapy.org/ |
| pydarn | 2.1 | SuperDARN data analysis and visualization | https://pydarn.readthedocs.io/en/master/ |
| pyglow | 0.0.0 (Jan 4 2021) | Upper atmosphere climatological models | https://github.com/timduly4/pyglow/ |
| pymap3d | 2.7.0 | Coordinate transforms and geodesy functions | https://geospace-code.github.io/pymap3d/ |
| pysat | 3.0.0 | Space physics data access | https://pypi.org/project/pysat/ |
| scipy | 1.6.3 | Advanced mathematical operations | https://www.scipy.org/ |
| sciunit2 | 0.4.post58.dev224550607 | Tool to create reusable research objects | https://pypi.org/project/sciunit2/ |
| seaborn | 0.11.1 | Statistical data visualization | https://seaborn.pydata.org/ |
| sgp4 | 2.19 | Propagation of satellite TLEs | https://pypi.org/project/sgp4/ |
| skyfield | 1.39 | High-prcision astronomy computations | https://rhodesmill.org/skyfield/ |
| spacepy | 0.2.2 | Data analysis tools for space-based datasets | https://pythonhosted.org/SpacePy/ |
| sqlalchemy | 1.4.15 | Database tool kit | https://www.sqlalchemy.org/ |
| sunpy | 3.0.0 | Open-source solar data analysis environment | https://docs.sunpy.org |
| sympy | 1.8 | Symbolic computation | https://www.sympy.org/en/index.html |
| tables | 3.6.1 | HDF5 binary data format | https://pypi.org/project/tables/ |
| viresclient | 0.8.0 | Interface to access ESA’s Swarm data and models | https://pypi.org/project/viresclient/ |
| visuamisr | 2.0.3 | Read and visualize AMISR data | https://github.com/asreimer/visuamisr |
| xarray | 0.18.2 | Labeled multi-dimensional arrays | http://xarray.pydata.org/en/stable/ |