pyshtools 4.10.2

SHTOOLS - Spherical Harmonic Tools

SHTOOLS/pyshtools is a Fortran-95/Python library that can be used for spherical harmonic transforms, multitaper spectral analyses, expansions of gridded data into Slepian basis functions, standard operations on global gravitational and magnetic field data.

TABLE OF CONTENTS

• FEATURES
• HOW TO USE
• INSTALLATION
  • pyshtools (for Python)
    • Install using conda
    • Install using pip
    • For Developers
  • SHTOOLS (for Fortran 95)
    • Install using the brew package manager (MacOS, Linux, Windows)
    • Install using the macports package manager (MacOS)
    • Install from source
• CONTRIBUTING
• MAINTAINERS AND CONTRIBUTORS
• LICENSE
• REFERENCES

FEATURES

• Supports all standard normalizations and phase conventions of the spherical harmonic functions.

• Effortless conversion between real and complex harmonics, and between different normalization and phase conventions.

• Use of both regularly sampled geographic grids and grids appropriate for Gauss-Legendre quadrature.

• Spherical harmonic transforms proven to be accurate up to about degree 2800 for the native Fortran 95 backend and beyond using the DUCC0 backend.

• Perform localized multitaper spectral analyses, or expand gridded data in terms of localized Slepian basis functions.

• Support for standard data and file formats, including xarray and netcdf.

• Import research-grade gravity, topography, and magnetic field datasets with a single command.

• Creation of publication quality maps using Cartopy and PyGMT.

• Support multithreaded programming using the OpenMP API.

HOW TO USE

A variety of Python tutorials and guides are available to explain the main library features. To get started, click on the following Python tutorials and run them interactively in Binder:

• Spherical harmonic coefficients and grids
• Localization windows and spectral analysis
• Gravity and magnetic fields
• Plotting maps

INSTALLATION

SHTOOLS can be invoked in any Fortran 95 or Python program. The core software is written in Fortran 95, and Python wrappers and dedicated classes allow simple access to the fortran-compiled routines. To install it, run these commands below:

pyshtools (for Python)

Install using conda:

conda install -c conda-forge pyshtools  # Linux and macOS only
conda update -c conda-forge pyshtools  # to upgrade a pre-existing installation

Install using pip:

pip install pyshtools
pip install --upgrade pyshtools  # to upgrade a pre-existing installation
pip install pyshtools --no-binary pyshtools  # build from source
pip install git+https://github.com/SHTOOLS/SHTOOLS@develop  # install the develop branch from source

For developers:

Install the requirements:

# Linux: install gfortran, fftw3, blas, and lapack
sudo apt-get install g++ gfortran libfftw3-dev libblas-dev liblapack-dev
# macOS: install fftw using brew or macports
brew install fftw
sudo port install fftw-3
# macOS: for LAPACK, link to the system '-framework Accelerate' or install openblas

Then clone the shtools repo and install manually:

git clone https://github.com/SHTOOLS/SHTOOLS.git
cd shtools
git checkout develop
pip install -e .  # install into the shtools folder and link to the active python environment

SHTOOLS (for Fortran 95)

Install using the brew package manager (MacOS, Linux, Windows):

brew install shtools

Install using the macports package manager (MacOS):

sudo port install shtools

Install from source:

Clone or download the this repo, and then execute one (or both) of the following commands in the shtools directory:

make fortran
make fortran-mp  # for OpenMP Fortran routines

Further installation instructions and options can be found in the web documentation.

CONTRIBUTING

We work on the develop branch and only push releases to master. Please base all pull requests on develop.

CONTRIBUTORS

For the full list of contributors, see the AUTHORS file.

LICENSE

This project uses the BSD 3-Clause license, as found in the LICENSE file.

REFERENCES

• Mark A. Wieczorek and Matthias Meschede (2018). SHTools --- Tools for working with spherical harmonics, Geochemistry, Geophysics, Geosystems, 19, 2574-2592, doi:10.1029/2018GC007529.
• Mark Wieczorek, et al. (2019). SHTOOLS/SHTOOLS. Zenodo, doi:10.5281/zenodo.3457861