1) del xdata[:] del ydata[:] line.set_data(xdata, ydata) return line, # 创建图形对象以及子图对象 fig, ax = plt.subplots() # 创建线条对象 line, = ax.plot([], [], lw=2) # 创建文本对象用于显示 x 和 y 值 text = ax.text(0., 0., '', transform=ax.transAxes) #...
ax.plot(np.random.randn(30).cumsum(),color ='k',linestyle ='dashed',marker ='o',label ='one') ax.plot(np.random.randn(30).cumsum(),color ='k',linestyle ='dashed',marker ='+',label ='two') ax.plot(np.random.randn(30).cumsum(),color ='k',linestyle ='dashed',marker ='v'...
rc('lines', lw = 2, color ='g') plt.subplot(312) plt.plot([1, 2, 3, 4]) plt.grid(True) # set changes to default value plt.rcdefaults() plt.subplot(313) plt.plot([1, 2, 3, 4]) plt.grid(True) plt.show() Python Copy输出:...
ax1.yaxis.set_minor_locator(minorLocator) ax1.xaxis.set_minor_locator(minorLocator) # Set grid to use minor tick locations. ax1.grid(which = 'minor') spacing = 1 minorLocator = MultipleLocator(spacing) ax2.plot(9 * np.random.rand(10)) # Set minor tick locations. ax2.yaxis.set_min...
pyplot.plot(x,cos_y,label='$ cos(x) $',color='blue',linewidth=1) pyplot.legend() pyplot.show() 多个函数图像 2.0 在上述基础上进一步封装, 对draw_arguments进行实例化, 然后调用draw_figure即可. importmatplotlib.pyplotaspyplot importnumpy ...
plt.rc('lines', lw =2, color ='g') plt.subplot(312) plt.plot([1,2,3,4]) plt.grid(True)# set changes to default valueplt.rcdefaults() plt.subplot(313) plt.plot([1,2,3,4]) plt.grid(True) plt.show() 输出:
In [69]: lines = plt.plot([1, 2, 3]) In [70]: plt.setp(lines) alpha: float animated: [True|False] antialiasedoraa: [True |False] ...snip Working with multiple figures and axes 工作在多个图形和坐标上 MATLAB, andpyplot, have the concept of the current figure and the current ax...
原文 下面我们介绍使用Matplotlib绘图的常用方法。 matplotlib.pyplot 模块包含允许您快速生成多种图的功能。 matplotlib.pyplot.plotting() 函数描述 acorr Plot the autocorrelation of x. an
You can loosely think of it as a process where you create figures one at a time,and all commands affect the current figure and the current plot. 您可以粗略地将其视为一个一次创建一个地物的过程,所有命令都会影响当前地物和当前绘图。 We will mostly use NumPy arrays for storing the data that...
plt.plot(x,y, format_str) 默认参数,x为0~N-1 plt.plot(y) 指定参数,x为0~N-1 plt.plot(y, format_str) 因此,在上面的例子中,我们没有给定x的值,所以其默认值为[0,1,2,3]。 传入x和y: plt.plot([1,2,3,4], [1,4,9,16]) ...