%matplotlib notebook提供一个交互的环境
1 %matplotlib notebook
1 import matplotlib as mpl 2 mpl.get_backend()
'nbAgg'
%plt.plot查询plot的帮助
1 import matplotlib.pyplot as plt
2 plt.plot?
1 #因为默认线的风格为'-' 2 #如果只进过一个点的话没有东西会被画出来 3 plt.plot(3, 2)
#使用'.'时可以显示
1 # we can pass in '.' to plt.plot to indicate that we want 2 # the point (3,2) to be indicated with a marker '.' 3 plt.plot(3, 2, '.')
1 # First let's set the backend without using mpl.use() from the scripting layer 2 from matplotlib.backends.backend_agg import FigureCanvasAgg 3 from matplotlib.figure import Figure 4 5 # create a new figure 6 fig = Figure() 7 8 # associate fig with the backend 9 canvas = FigureCanvasAgg(fig) 10 11 # add a subplot to the fig 12 ax = fig.add_subplot(111) 13 14 # plot the point (3,2) 15 ax.plot(3, 2, '.') 16 17 # save the figure to test.png 18 # you can see this figure in your Jupyter workspace afterwards by going to 19 # https://hub.coursera-notebooks.org/ 20 canvas.print_png('test.png')
%%html
<img src='test.png' />
ax.axis设置坐标边界
1 # create a new figure 2 plt.figure() 3 4 # plot the point (3,2) using the circle marker 5 plt.plot(3, 2, 'o') 6 7 # get the current axes 8 ax = plt.gca() 9 10 # Set axis properties [xmin, xmax, ymin, ymax] 11 ax.axis([0,6,0,10])
每次使用plt.plot画出来得颜色不同
1 # create a new figure 2 plt.figure() 3 4 # plot the point (1.5, 1.5) using the circle marker 5 plt.plot(1.5, 1.5, 'o') 6 # plot the point (2, 2) using the circle marker 7 plt.plot(2, 2, 'o') 8 # plot the point (2.5, 2.5) using the circle marker 9 plt.plot(2.5, 2.5, 'o')
1 # get current axes 2 ax = plt.gca() 3 # get all the child objects the axes contains 4 ax.get_children()
