[Numpy-discussion] NumPy Histogram for Tentative NumPy Tutorial
Questions  Wayne Watson sierra_mtnview@sbcglobal.... Thu Nov 26
13:44:47 CST 2009  I decided to try some example code from
Subject.  import numpy import pylab # Build a vector of 10000
normal deviates with variance 0.5^2 and mean 2 mu, sigma = 2,
0.5 v = numpy.random.normal(mu,sigma,10000) # Plot a normalized
histogram with 50 bins pylab.hist(v, bins=50, normed=1)       #
matplotlib version (plot) # Compute the histogram with numpy and
then plot it (n, bins) = numpy.histogram(v, bins=50, normed=1)
# NumPy version (no plot) pylab.plot(.5*(bins[1:]+bins[:-1]), n)
After the histogram is displayed how do I get to the plot?
Where is histogram described in some detail? Normalized?  The
histogram x-axis goes from 0 to 4.5. How does that happen?  Is v
is two dimensional? What if it's one dimensional?
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