cyrus 发表于 2018-8-5 07:36:31

用python的matplotlib画标准正态曲线

import math  
import pylab as pl
  
import numpy as np
  
def gd(x,m,s):
  
left=1/(math.sqrt(2*math.pi)*s)
  
right=math.exp(-math.pow(x-m,2)/(2*math.pow(s,2)))
  
return left*right
  
def showfigure():
  
x=np.arange(-4,5,0.1)
  
y=[]
  
for i in x:
  
y.append(gd(i,0,1))
  
pl.plot(x,y)
  
pl.xlim(-4.0,5.0)
  
pl.ylim(-0.2,0.5)
  
#
  
ax = pl.gca()
  
ax.spines['right'].set_color('none')
  
ax.spines['top'].set_color('none')
  
ax.xaxis.set_ticks_position('bottom')
  
ax.spines['bottom'].set_position(('data',0))
  
ax.yaxis.set_ticks_position('left')
  
ax.spines['left'].set_position(('data',0))
  
#add param
  
label_f1 = "$\mu=0,\ \sigma=1$"
  
pl.text(2.5,0.3,label_f1,fontsize=15,verticalalignment="top",
  
horizontalalignment="left")
  
label_f2 = r"$f(x)=\frac{1}{\sqrt{2\pi}\sigma}exp(-\frac{(x-\mu)^2}{2\sigma^2})$"
  
pl.text(1.5,0.4,label_f2,fontsize=15,verticalalignment="top"
  
,horizontalalignment="left")
  
pl.show()
  
页: [1]
查看完整版本: 用python的matplotlib画标准正态曲线