Thank you John. Your explanation helped a lot!
In case it helps anyone else in the future, here is my code for
*exactly* what I was after:
import pylab
def ryan_hist(data, bar_width, min_x, max_x):
"""
Create a frequency histogram over a continuous interval
min_x = the low end of the interval
max_x = the high end of the interval
bar_width = the width of the bars
This will correctly align the bars of the histogram
to the grid lines of the plot
"""
#Make histogram with bars of width .9 and center
#them on the integer values of the x-axis
bins = pylab.nx.arange(1-(bar_width/2),max(data))
n,bins,patches = pylab.hist(data, bins, width=bar_width)
#Make Y axis integers up to highest n
pylab.yticks(pylab.arange(sorted(n)[-1]))
pylab.axis('scaled')
pylab.xlim(0.5,6.5)
pylab.grid()
pylab.show()
#Create a historgram
data=[1,1,2,2,2,2,2,2,3,3,3,4,4,4,5,5,6,6,6]
bar_width = 0.9
ryan_hist(data,bar_width,min(data),max(data))
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