Multiple point statistical (MPS) simulation
Project description
scikit-mps is a Python interface to MPSlib, https://github.com/ergosimulation/mpslib/, which is a C++ library for geostatistical multiple point simulation, with implementations of ‘SNESIM’, ‘ENESIM’, and ‘GENESIM’
- It contains three modules:
mpslib: Interacts with MPSlib
eas: read and write EAS/GSLIB formatted files
trainingimages: Access to a number of trainingimages
import mpslib as mps
O=mps.mpslib(method='mps_snesim_tree')
O.run()
O.plot_reals()
O.plot_etype()
PyPI
<http://pypi.python.org/pypi/scikit-mps>
Requirements
Numpy >= 1.0.2
Matplotlib >= 1.0.2
MPSlib needs to be downloaded, installed, and in the system path (https://github.com/ergosimulation/mpslib/) [Any 11 C++11 compiler should work, such as gcc, MinGW, MSVC]
Installing
Via pip:
pip install scikit-mps
optionally download and reinstall:
import mpslib as mps O=mps.mpslib O.compile_mpslib()
From source code
cd ROOT_OF_MPSLIB/python
pip install .
cd ROOT_OF_MPSLIB
make clean
make
If you wish to develop the scikit-mps package, then install it in editable developer mode using
pip install -e .
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