plot1 = pl.plot(x1, y1, ’r’)# use pylab to plot x and y : Give your plots names plot2 = pl.plot(x2, y2, ’go’) pl.title(’Plot of y vs. x’)# give plot a title pl.xlabel(’x axis’)# make axis labels pl.ylabel(’y axis’) pl.xlim(0.0, 9.0)# set axis lim...
plot2 = pl.plot(x2, y2, ’go’) 1. 1. pl.title(’Plot of y vs. x’)# give plot a title 1. pl.xlabel(’x axis’)# make axis labels 1. pl.ylabel(’y axis’) 1. 1. 1. pl.xlim(0.0, 9.0)# set axis limits 1. pl.ylim(0.0, 30.) 1. 1. 1. pl.legend([plot1, ...
p2, = par1.plot([0,1,2], [0,3,2], label="Temperature") p3, = par2.plot([0,1,2], [50,30,15], label="Velocity") par1.set_ylim(0,4) par2.set_ylim(1,65) host.legend() host.axis["left"].label.set_color(p1.get_color()) par1.axis["right"].label.set_color(p2....
pl.plot(x1, y1, ’r’)# use pylab to plot x and y 1 2 pl.plot(x2, y2, ’g’) 1 1 2 pl.title(’Plot of y vs. x’)# give plot a title 1 2 pl.xlabel(’x axis’)# make axis labels 1 2 pl.ylabel(’y axis’) 1 1 1 2 pl.xlim(0.0,9.0)# set axis limits 1 2...
ax.plot(women_degrees['Year'], women_degrees['Biology'], label='Women', c=cb_dark_blue) 3.3. 属性调用方式 Artist对象的所有属性都通过相应的get_*和set_*函数进行读写。 例如下面的语句将alpha属性设置为当前值的一半: a = o.get_alpha() ...
lines = plt.plot(x, np.sin(x), x, np.cos(x)) 调用setp()以同时配置多个对象的属性,这里同时设置两条曲线的颜色和线宽: plt.setp(lines, color="r”, linewidth=4.0) 通过调用Line2D对象的get_*()或者通过plt.getp()来获取对象的属性值: line.get_linewidth() plt.getp(lines[0], "color")...
红色:把pl.plot(x, y, 'o')改成pl.plot(x, y, ’or’) 线条样式 Changing the line style 虚线:plot(x,y, '--') marker样式 Changing the marker style 蓝色星型markers:plot(x,y, ’b*’) 详细见附录- matplotlib中的作图參数 图和轴标题以及轴坐标限度 Plot and axis titles and limits ...
# Create the figure and the axesfig, ax = plt.subplots()# Plot the data and get the averagedtop_10.plot(kind='barh', y="Sales", x="Name", ax=ax)avg = top_10['Sales'].mean()# Set limits and labelsax.set_xlim([-10000,140000])ax.set(title='2014 Revenue', xlabel='Total ...
iterations = 100000 for i in iterations: result = simulate(iteration=i) if not i % 1000: # Update/redraw plot here: # Add some lines, add some points, reset axis limits, change some colours 在主线程中绘制绘图会导致绘图 GUI 挂起/崩溃,这可能是因为我正在进行其他工作。所以我的想法是在一...
self._update_line_limits(line) File "/home/somesh/.local/lib/python3.8/site-packages/matplotlib/axes/_base.py", line 1986, in _update_line_limits path = line.get_path() File "/home/somesh/.local/lib/python3.8/site-packages/matplotlib/lines.py", line 1011, in get_path ...