Introduction

The histogram python package provides a simple yet fundamental data structure for scientific computing: histogram. A histogram object is a container of axes, data, and error bars. With this package, you can create histograms, take slices of them, and perform numerical operations.

Here is an example of a python session:

from histogram import histogram, axis, arange, plot
xaxis = axis('x', arange(5), unit='meter')
yaxis = axis('y', arange(7), unit='cm')
axes = [xaxis, yaxis]
h = histogram( "intensity", axes, fromfunction=lambda x,y: x**2+y**2)
print h
plot(h)   # need matplotlib
help(h)
slice = h[3, ()]
from histogram.hdf import dump  # need h5py
dump(slice, 'slice.h5')

Features

• Carries both data and error bars and has a default implementation for error propagation
• Flexible slicing to get sub-histograms
• Easy access to data as numpy arrays
• Dump/load histograms in hdf format
• Quick plot using matplotlib

Getting Started

• Installation
• Python interface

More information

• The histogram user group
• The danse project

This package is a product of the DANSE project, which is supported by the US National Science Foundation under grant DMR-0520547.