importmatplotlib.pyplotasplt# 设置数据x=[1,2,3,4,5]y=[2,3,5,7,10]plt.plot(x,y,linestyle='--',color='gray',label='Line - how2matplotlib.com')# 绘制线plt.scatter([x[2]],[y[2]],color='red',s=100,label='Highlight Point (3,5) - how2matplotlib.com')# 突出显示中间点plt...
首先,我们需要导入Matplotlib库以及其3D工具包。 importmatplotlib.pyplotaspltfrommpl_toolkits.mplot3dimportAxes3Dimportnumpyasnp# 创建一个新的图形fig=plt.figure(figsize=(10,8))ax=fig.add_subplot(111,projection='3d')# 设置标题ax.set_title("How to plot 3D surface with a singl...
(arrowstyle = "-|>", connectionstyle = "angle,angleA = 0,angleB = 90,rad = 10", color = "r") ax.annotate("single point", (5,np.sin(5)*np.cos(5)), xytext = (2,np.sin(2)*np.cos(2)), fontsize = 12,color = "r", bbox = bbox,arrowprops=arrowprops) ax.grid(ls =...
# Create a basic plot plt.plot(x,y) 请输入图片描述 生成的图像如下图所示: 请输入图片描述 为图像添加更多元素 上面生成的图还缺少一些东西,让我们试着为它添加不同的元素,以便更好地解释这个图。可以为其添加的元素包括title、x-Label、y-label、x-limits、y-limits。 # set different elements to the ...
a title (set via set_title()), an x-label (set via set_xlabel()), and a y-label set via set_ylabel()). The Axes class and its member functions are the primary entry point to working with the OOP interface, and have most of the plotting methods defined on them (e.g. ax.plot...
: 'b' # blue markers with default shape 'or' # red circles '-g' # green solid line '--' # dashed line with default color '^k:' # black triangle_up markers connected by a dotted line**Colors**The supported color abbreviations are the single letter codes...
ax.plot(x,y,ls="-",lw=2) bbox = dict(boxstyle="round",fc="#7EC0EE",ec="#9B30FF") arrowprops = dict(arrowstyle="-|>", connectionstyle="angle,angleA=10,angleB=60,rad=10", color="r") ax.annotate("single point",
matplotlib.org/stable/a matplotli*b.pyplot.*plot*(*args*,scalex=True,*scaley*=True,*data*=None,***kwargs)* 参数说明: *args:这是可变参数,可以是一个或多个 x 和 y 数据序列。最简单的形式是 plot(y) 或plot(x, y),其中 x 是横坐标数据序列,y 是纵坐标数据序列。如果只提供一个序列,那...
# lets create multiple histograms in a single plot# Create random datahist1 = np.random.normal(25,10,1000)hist2 = np.random.normal(200,5,1000)#plot the histogramplt.hist(hist1,facecolor = 'yellow',alpha = 0.5, edgecolor ='b',bins=50)plt.hist(hist2,facecolor = 'orange',alpha = 0....
(set via set_xlabel()), and a y-label set via set_ylabel()). The Axes class and its member functions are the primary entry point to working with the OOP interface, and have most of the plotting methods defined on them (e.g. ax.plot(), shown above, uses the plot method) ...