I have been plotting a histogram. My code looks like this:
x0=-15000
x1=15000
b=np.arange(x0,x1,(x1-x0)/250.)
plt.plot(b[0:-1], plt.hist(non_zeros(-e[0]), bins=b, normed=1, visible=0)[0], color = "k", label=r'$\gamma$ = 1.0')
I normed the histogram so the area under the curve is equal to 1. e[0] is just some data i take in from a document.
What i want now is to double check that the are under the histogram is equal to one. How can this be done?
You can calculate the area in this way:
import numpy
import matplotlib.pyplot as plt
x = numpy.random.randn(1000)
values, bins, _ = plt.hist(x, normed=True)
area = sum(numpy.diff(bins)*values)