import numpy as np
import matplotlib.pyplot as plt
mu, sigma = 100, 15
x = mu + sigma * np.random.randn(10000)
# 數(shù)據(jù)的直方圖
n, bins, patches = plt.hist(x, 50, normed=1,edgecolor='b', facecolor='g', alpha=0.2)
plt.xlabel('Smarts')
plt.ylabel('Probability')
#添加標題
plt.title('Histogram of IQ')
#添加文字
plt.text(60, .025, r'$\mu=100,\ \sigma=15$')
plt.axis([40, 160, 0, 0.03])
plt.grid(True)
plt.show
import pylabdef loadData(flieName):? ? inFile = open(flieName, 'r')? ? for line in inFile:? ? ? ? trainingSet = line.split('\t')? ? ? ? x.append(eval(trainingSet[0]))? ? ? ? y.append(eval(trainingSet[1]))? ? return (x, y)x = []y = [](x, y) = loadData('XRD_AFO.txt')pylab.figure(1)pylab.plot(x, y, 'r-')pylab.xlabel('Position(2-Theta)')pylab.ylabel('Intensity')pylab.show()
