UPDATE: Sorry again, the code was updated due to correct comments. And there is still some problem with graphics - one hist is shifted to another.
UPDATE: I'm sorry, these hists have different number of bins. And even at this point setting '5' as number of bins in plt.hist doesn't help
The code below computes two histograms on the same datasource.
And plotting these histograms shows that they don't coincide.
A mark for np.hist : it returns a tuple of two arrays - values of bins including edge bins and a number of counts. So I thought that it could be reasonable to center values of bin edge locations.
import numpy as np
import matplotlib.pyplot as plt
s = [1,1,1,1,2,2,2,3,3,4,5,5,5,6,7,7,7,7,7,7,7]
xmin = 1
xmax = 7
step = 1.
print 'nbins=',(xmax-xmin)/step
print np.linspace(xmin, xmax, (xmax-xmin)/step)
h1 = np.histogram(s, bins=np.linspace(xmin, xmax, (xmax-xmin)/step))
print h1
def calc_centers_of_bins(x):
return list(x[i]+(x[i]-x[i+1])/2.0 for i in xrange(len(x)-1))
x = h1[1].tolist()
print x
y = h1[0].tolist()
plt.bar(calc_centers_of_bins(x),y, width=(x[-1]-x[0])/(len(y)), color='red', alpha=0.5)
plt.hist(s, bins=5,alpha=0.5)
plt.grid(True)
plt.show()
