import matplotlib
import matplotlib.pyplot as plt
import numpy
import math
from pylab import *

x = numpy.linspace(-4,4,200)
f1 = numpy.power(10,x)
f2=numpy.power(math.e,x)
f3 = numpy.power(2,x)

plt.plot(x,f1,'r',x,f2,'b',x,f3,'g',linewidth=2)
plt.axis([-4,4,-0.5,8])
plt.text(1,7.5,r'$10^x$',fontsize=16
 
)
plt.text(2.2,7.5,r'$e^x$',fontsize=16)
plt.text(3.2,7.5,r'$2^x$',fontsize=16)
plt.title('A simple example',fontsize=16)

savefig('power.png',dpi=75)
show()

print('\n'.join([''.join([('LoveAndy'[(x-y)%8]if((x*0.05)**2+(y*0.1)**2-1)**3-(x*0.05)**2*(y*0.1)**3<=0 else' ')for x in range(-30,30)])for y in range(15
 
,-15,-1)]))

Matplotlib支援一部分Tex的排版指令，插入的公式部分由一對$符號來表示，\表空格，靠近的可以轉意，r表示該字串是一個raw String（原字串的意思） 可避免其他規則解釋字串中某些特殊的自負帶來的歧義

顯示圖形中的數學公式

import numpy as np
import matplotlib.pyplot as plt
from pylab import *

def f(x,c):

    t=(2*(pi)*x)
    m1 = np.sin(t)
    m2 = np.exp(-c*x)
    return multiply(m1,m2)

x= np.linspace(0
 
,4,100) 
sigma=0.5
plt.plot(x,f(x,sigma),'r',linewidth=2)
plt.xlabel(r'$\rm{time} \ t$',fontsize=16)
plt.ylabel(r'$\rm{Amplitude} \ f(x)$',fontsize=16)
plt.title(r'$f(x) \ \rm{is \ damping \ with}  \ x$',fontsize=16)
plt.text(2.0,0.5,r'$f(x) = \rm {sin}(2 \pi x^2) e^{\sigma x}$',fontsize=20)
savefig('latex.png',dpi=75)
show()

比較運算速度

import time
import math
import numpy as np
x = [ i*0.001 for i in range(1000000)]
start = time.clock()
for i,t in enumerate(x):
    x[i] = math.sin(t)
print("math.sin:",time.clock()-start) 

x = [ i*0.001 for i in range(1000000)]
x =np.array(x)
start = time.clock()
np.sin(x,x)
print("numpy.sin:",time.clock()-start) 

/ * * * * * * * 2017-08-03

from pylab import *
X = np.linspace(-np.pi,np.pi,256,endpoint=True)
C,S = np.cos(X),np.sin(X)

plot(X,C)
plot(X,S)

show()