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)
pylab.show()
# 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)
pylab.show()
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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