matplotlib 记录

import matplotlib.pyplot as plt 
plt.plot([1, 2, 3, 4], [1, 4, 9, 16],'o')
plt.axis([0, 6, 0, 20])  // The axis() command in the example above takes a list of [xmin, xmax, ymin, ymax] and specifies the viewport of the axes.

'''
  red dashes, blue squares and green triangles  :      //different types of dots
  'r--','bs','g^'
'''
plt.show()

list来进行绘图

name=['group_a','group_b','group_c']
values=[1,10,100]
plt.figure(1,figsize=(9,3))
'''
num : integer or string, optional, default: None
        If not provided, a new figure will be created, and the figure number
        will be incremented. The figure objects holds this number in a `number`
        attribute.
        If num is provided, and a figure with this id already exists, make
        it active, and returns a reference to it. If this figure does not
        exists, create it and returns it.
        If num is a string, the window title will be set to this figure's
        `num`.
 figsize : tuple of integers, optional, default: None
        width, height in inches. If not provided, defaults to
        :rc:`figure.figsize` = ``[6.4, 4.8]``.
'''
plt.subplot(131)      #第一行有三个子图，现画第一个图      柱形图
plt.bar(name,values)
plt.subplot(132)      #第一行有三个子图，现画第二个图      点状图
plt.scatter(name,values)
plt.subplot(133)      #第一行有三个子图，现画第三个图      折线图
plt.plot(name,values)
plt.show()              #显示图像

注：python注释 可以用''' content '''或者 #

总结：

主要是figure画布的生成，之后可以利用subplot进行子画布的工作，可以通过一些参数的设置对图像进行更高程度的修饰，最后show（）方法显示出来即可。