plt.plot(x, y, label='Line 1') plt.plot(x, [i*2 for i in y], label='Line 2') # 添加图例 plt.legend() # 添加标题和轴标签 plt.title("Multiple Lines on the Same Plot") plt.xlabel("X Axis") plt.ylabel("Y Axis") # 显示图表 plt.show() 6. 保存图表 除了显示图表外,你还...
1.pyplot.plot 我们先来看下,这个plot函数,之前呢,绘图的时候,一直都是使用这个函数, 貌似没说这个函数到底干啥的。 matplotlib.pyplot.plot(*args,**kwargs)Plot linesand/ormarkers to the Axes.argsisa variable length argument,allowingformultiple x,y pairswithan optionalformatstring.For example,each of ...
importmatplotlib.pyplotaspltplt.figure(1)# the first figureplt.subplot(211)# the first subplot in the first figureplt.plot([1,2,3])plt.subplot(212)# the second subplot in the first figureplt.plot([4,5,6])plt.figure(2)# a second figureplt.plot([4,5,6])# creates a subplot() by...
plot([1,2,3], [1,4,9], 'rs', label='line 2') axis([0, 4, 0, 10]) legend() If you make multiple lines with one plot command, the kwargs apply to all those lines, e.g.: plot(x1, y1, x2, y2, antialised=False) Neither line will be antialiased. You do not need t...
line, = plt.plot(x, y,'-') line.set_antialiased(False)#turn off antialising Use thesetp()command. The example below uses a MATLAB-style command to set multiple properties on a list of lines. setp works transparently with a list of objects or a single object. You can either use py...
lines = plt.plot(x1, y1, x2, y2) # use keyword args plt.setp(lines, color='r', linewidth=2.0) # or MATLAB style string value pairs plt.setp(lines, 'color', 'r', 'linewidth', 2.0) 5.Working with multiple figures and axes ...
matplotlib.pyplot.plot()参数介绍 matplotlib.pyplot.plot(*args,**kwargs)? Plot lines and/or markers to theAxes.argsis a variable length argument, allowing for multiplex,ypairs with an optional format string. For example, each of the following is legal: plot(x, y) # plot x and y using ...
ax.plot(states_xy[-1,0], states_xy[-1,1],'-s', label='Goal') legend = ax.legend(loc='upper right', shadow=False)forlabelinlegend.get_texts(): label.set_fontsize('x-small')# the legend text sizeforlabelinlegend.get_lines(): ...
示例3: plot_figure_commute ▲点赞 3▼ defplot_figure_commute(file_name):f = open(file_name) lines = f.readlines() lines[0] = lines[0][:-1] f.close() probabilities = lines[0].split(" ") xx = xrange(len(probabilities))
As opposed to arrows, which give vector magnitude by the length of the arrow, the barbs give more quantitative information about the vector magnitude by putting slanted lines or a triangle for various increments in magnitude.ExampleThe following example show one of the basic Barb-Plot....