Python lattice binning package for large data
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
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) plt.show()
In the terminal you can install this in the usual way.
python setup.py install
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