import numpy as np import matplotlib.pyplot as plt import matplotlib.mlab as mlab fig = plt.figure() ax = fig.add_subplot(111) binnum=10 #number of bins you want to sort the data into x=np.array([1,2,2,3,3,3,4,4,4,4,4,5,5,5,5,6,7,8,9,10,10,10,10]) n, bins, patches = ax.hist(x,binnum, normed=1, facecolor='purple', alpha=0.75) # To get everything lined up, we'll compute the bin centers bincenters = 0.5*(bins[1:]+bins[:-1]) ax.set_xlabel('x values') ax.set_ylabel('Probability') ax.set_title('Histogram') ax.set_xlim(0,11) ax.set_ylim(0,1) ax.grid(True) plt.show()
Wednesday, November 21, 2012
Histograms in Python
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