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Python lattice binning package for large data

Project description

This python package is used for binning onto lattices in multiple dimensions.

Why Use Lattices

For “regular” 2D histogramming you implicitly use a Z2 lattice! But the errors involved with quantizing to a Z2 lattices is larger than A2.

insert plot here showing proper comparison of Z2 and A2 give name of file which creates Z2-A2 comparison

Basic Example

This example shows how to take a normal data set and histogram the data onto an A2 (aka honeycomb) lattice using latbin.

import latbin
import numpy as np

# create some fake data with shape (npts,ndim)
npts,ndim = 60000,2
data = np.random.normal(size=(npts, ndim))*4.0

# create an A2 lattice (honeycomb binning)
a2 = latbin.ALattice(2)

# histogram the data onto A2 Lattice
h = a2.histogram(data)

# get the lattice points in the data space
centers = h.centers()

# show the result
import matplotlib.pylab as plt
plt.title("Honeycomb binning (A2 Lattice)")
plt.scatter(centers[:,0],centers[:,1],c=h.values(), s=70)


In the terminal you can install this in the usual way.

python install

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latbin-0.1.4.tar.gz (18.1 kB view hashes)

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