函数的定义：给定一个数集A，对A施加一个对应的法则/映射f，记做：f(A),那么可以得到另外一个数集B，也就是可以认为B=f(A)；那么这个关系就叫做函数关系式，简称函数。
三个重要因素：定义域A、值域B、对应的映射法则f。
常见函数有：常函数、一次函数、二次函数、幂函数、指数函数、对数函数。
import math import numpy as np import matplotlib.pyplot as plt x = np.arange(0.05,3,0.05) #常函数 y1 = [5 for i in x] plt.plot(x,y1,linewidth = 2,label = \'常函数:y = 5\') #一次函数 y2 =[2 * i + 1 for i in x ] plt.plot(x,y2,linewidth = 2,label = \'一次函数:y = 2x + 1\') #二次函数 y3 =[1.5 * i * i - 3 * i + 1 for i in x ] plt.plot(x,y3,linewidth = 2,label = \'二次函数:y = 1.5$x^2$ -3x + 1\') #幂函数 y4 =[math.pow(i,2) for i in x ] plt.plot(x,y4,linewidth = 2,label = \'幂函数:y =$x^2$\') #指数函数 y5 =[math.pow(2,i) for i in x ] plt.plot(x,y5,linewidth = 2,label = \'指数函数:y = $2^x$\') #对数函数 y6 =[math.log(i,2) for i in x ] plt.plot(x,y6,linewidth = 2,label = \'对数函数:y = log2(x)\') plt.legend(loc = \'lower right\')#显示图例大小，其中loc表示位置的； plt.grid(False)## 显示背景的网格线，False为不显示网络图 plt.show()
绘制的图片中文无法识别，可以在配置文件font.sans-serif中添加SimHei、FangSong等中文字体
plt.rcParams[\'font.sans-serif\']=[\'SimHei\']
plt.rcParams[\'axes.unicode_minus\'] = False#解决保存图像是负号\'-\'显示为方块的问题
一般常见函数：
import numpy as np import matplotlib.pyplot as plt x1 = np.linspace(-5,5,100) y3 = [(2 * i + 1 )for i in x1] plt.plot(x1,y3,label = \'y=2x+10\',color = \'b\',linewidth = 2) y4 = [i*i for i in x1] plt.plot(x1,y4,label = \'y=x^2\',color = \'g\',linewidth = 2) y5 = [3 for i in x1] plt.plot(x1,y5,label = \'y=3\',color = \'purple\',linewidth = 2) plt.grid(True) plt.legend() plt.show()
import math import numpy as np import matplotlib.pyplot as plt x1 = np.linspace(-5,5,100) y5 = [3 * math.pow(i,3)for i in x1] plt.plot(x1,y5,label = \'y=3x^3\',color = \'purple\',linewidth = 2) y6 = [10/i for i in x1] plt.plot(x1,y6,label = \'y=10/x\',color = \'k\',linewidth = 2) plt.grid(True) plt.legend() plt.show()
三角函数：
import numpy as np import matplotlib.pyplot as plt x = np.linspace(-4*np.pi,4*np.pi,100) y = [np.sin(i)for i in x] plt.plot(x,y,label = \'y=sinx\',color = \'g\',linewidth = 2) y1 = [np.cos(i)for i in x] plt.plot(x,y1,label = \'y=cosx\',color = \'r\',linewidth = 2) plt.grid(True) plt.legend(loc=\'upper right\') plt.xlim(-15,15) plt.show()
对数函数：
import math import numpy as np import matplotlib.pyplot as plt x = np.arange(0.05,3,0.05) y1 = [math.log(i,0.5)for i in x] y2 = [math.log(i,math.e)for i in x]#是以e为底的对数 y3 = [math.log(i,5)for i in x] y4 = [math.log(i,10)for i in x] plt.plot(x,y1,label = \'log0.5(x)\',color = \'y\',linewidth = 2) plt.plot(x,y2,label = \'loge(x)\',color = \'b\',linewidth = 2) plt.plot(x,y3,label = \'log5(x)\',color = \'g\',linewidth = 2) plt.plot(x,y4,label = \'log10(x)\',color = \'r\',linewidth = 2) plt.plot([1,1],[-3,5],\'-\',color =\'#999999\',linewidth = 2) plt.legend(loc=\'lower right\') plt.xlim(0,3) plt.grid(True) plt.show()