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A Python package to do natural neighbour interpolation

Project description

NNIpy

NNIpy is a Python package for conducting natural neighbour interpolation. The major advantage of NNIpy over other implementations of natural neighbour interpolation is that NNIpy can interpolate beyond the convex hull of the input data points.

Example use

>>> import nnipy as nn
>>> import numpy as np
>>> extent = (0, 1, 0, 1)
>>> xyz = np.array([[0.41702200, 0.72032449, 0.69588564],
                                        [0.30233257, 0.14675589, 0.42313433],
                                        [0.18626021, 0.34556073, 0.72032449],
                                        [0.53881673, 0.41919451, 0.48452417]])
>>> i = np.array([[0.03577382, 0.76334544]])
>>> nnint = nn.nnint(xyz, i, extent)
>>> print(nnint)
[ 0.70094508]

Dependencies

NNIpy was developed using:

  • Python 2.7.11
  • NumPy 1.10.4
  • SciPy 0.17.0

Installation notes

The installation of NLMpy can be done from the command line using either a Terminal on OSX/UNIX or a Command Prompt on Windows. At the command line you just need to run:

pip install nlmpy

which will get the pip program to install NLMpy directly from the online Python Package Index.

Project details


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This version
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0.1.1

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