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: pip3 install scikit-mps
cd ROOT_OF_MPSLIB/python
pip3 install .
If you wish to develop the scikit-mps package, then install it in editable developer mode using
pip3 install -e .
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for scikit_mps-0.3.2-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a900983b4cfed5a8c97d682708b3b2be66afd06138f05d323b4300e8b6f46ecd |
|
MD5 | 5e769ab576499b084057e75ccc60fba5 |
|
BLAKE2b-256 | 0e822d2731f084969c424fa00e55511cf87df03f47293fd6f743d10e1c15eb91 |