Python Geophysical Modelling and Interpretation
PyGMI stands for Python Geophysical Modelling and Interpretation. It is a modelling and interpretation suite aimed at magnetic, gravity and other datasets.
PyGMI is developed at the Council for Geoscience (Geological Survey of South Africa).
- Magnetic and Gravity 3D forward modelling
- Cluster Analysis
- Routines for cutting, reprojecting and doing simple modifications to data
- Convenient display of data using pseudo-color, ternary and sunshaded representation.
- It is released under the Gnu General Public License version 3.0
The PyGMI Wiki pages, include installation and full usage!
The latest release version can be found here.
PyGMI will run on both Windows and Linux. It should be noted that the main development is done in Python 3.5 on Windows.
PyGMI is developed and has been tested with the following libraries in order to function:
- python 3.5.4
- cycler 0.10.0
- GDAL 2.1.4
- llvmlite 0.19.0
- matplotlib 2.0.2
- numba 0.34.0
- numexpr 2.6.2
- numpy 1.13.1
- pillow 4.2.1
- pip 9.0.1
- pyopengl 3.1.1
- pyparsing 2.2.0
- pyqt5 5.9
- python_dateutil 2.6.1
- pytz 2017.2
- scipy 0.19.1
- scikit_learn 0.18.2
- setuptools 36.2.7
- sip 4.19.3
- six 1.10.0
You may need to install some dependencies using downloaded binaries, because of compilation requirements. Therefore, if you do get an error, you can try installing precompiled binaries before installing PyGMI.
Examples of binaries you may need to get are:
They can be obtained from the website by Christoph Gohlke.
You may also need to install the Microsoft Visual C++ 2015 Redistributable.
Linux normally comes with python installed, but the additional libraries will still need to be installed. One convenient option is to install the above libraries through Anaconda Python.
Anaconda does not find pyqt5 on its system even if it is there already. To install pygmi on anaconda, download the zip file manually, edit the setup.py file, and replace the install_requires switch with the following:
install_requires=[“numpy”, “scipy”, “matplotlib”, “gdal”, “numexpr”, “numba”, “Pillow”, “PyOpenGL”],
As you can see, all we have done is removed PyQt5 from the requirements. You will need to make sure it is a part of your conda installation though. From this point the regular command will install pygmi:
python setup.py install
Note that you can simply install Anaconda use its ‘conda install’ command to satisfy dependencies. For example:
conda install gdal
conda install krb5
Make sure that krb5 is installed, or gdal will not work.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|pygmi-2.4.1-py3-none-any.whl (549.0 kB) Copy SHA256 hash SHA256||Wheel||py3||Aug 29, 2017|
|pygmi-2.4.1.tar.gz (487.2 kB) Copy SHA256 hash SHA256||Source||None||Aug 29, 2017|