fig,ax = plt.subplots() #add first line to plot ax.plot(df1.year, df1.sales, color=col1) #add x-axis label ax.set_xlabel('Year', fontsize=14) #add y-axis label ax.set_ylabel('Sales', color=col1, fontsize=16) #define second y-axis that shares x-axis with current plot ax...
Create a new Axes instance with an invisible x-axis and an independent y-axis positioned opposite to the original one (i.e. at right). The x-axis autoscale setting will be inherited from the original Axes. 大意就是使用这个函数,在原来的坐标系中新建一个共享x轴的双胞胎坐标系,类似的还有twin...
# subplots are used to create multiple plots in a single figure# let’s create a single subplot first following by adding more subplotsx = np.random.rand(50)y = np.sin(x*2)#need to create an empty figure with an axis as below, figure and axis are two separate objects in matplotlibf...
matplotlib.pyplot as plt # 生成随机数据 x = np.random.rand(50) y = np.random.rand(50) # 绘制散点图 plt.scatter(x, y, color='blue', alpha=0.5) # 设置标题和坐标轴标签 plt.title('Scatter Plot of Random Data') plt.xlabel('X Axis') plt.ylabel('Y Axis') # 显示图表 plt.show(...
之前,在plot()的第三个参数中,用r可以表示红色,g表示绿色,b表示蓝色,这里列举一些常用的颜色字符代表: b 蓝色 g 绿色 r 红色 c 蓝绿色 m 洋红 y 黄色 k 黑色 w 白色 将上图中的x轴变成π的倍数 x=np.arange(-2*np.pi,2*np.pi,0.01)y=np.sin(3*x)/xy2=np.sin(2*x)/xy3=np.sin(1*x...
plt.plot(data,'k--', label='Default') plt.plot(data,'k-', drawstyle='steps-post', label='steps') plt.legend(loc='best') <matplotlib.legend.Legendat0x28e781103c8> ### Ticks, labels, and legends ### Setting the title, axis labels, ticks, and ticklabels fig...
1plt.plot(x_values, y_values, 'xr') 1. 重新运行程序,效果如下图所示。 可能大家已经注意到了,1和10对应的‘x’记号在图形边角的位置不太明显,要解决这个问题可以通过添加下面的代码调整x轴和y轴的坐标范围。 1plt.axis([0, 12, 0, 120]) ...
plt.plot(np.round(zee),patches,'ro') plt.xlabel('Smarts') plt.ylabel('Probablity') plt.title('Histogram of the Iq') plt.axis([40,160,0,0.03]) plt.grid(1) plt.show() 显示的错误为 python3 -u "/home/somesh/Downloads/vscode_code/python ml course /firstml.py" ...
>>> plot(y, 'r+') # ditto, but with red plusses (同上,但有红色加号) You can useLine2Dproperties as keyword arguments for more control on the appearance. Line properties andfmtcan be mixed. The following two calls yield identical results:(线条属性和fmt参数可以混合使用) ...
y_hist.invert_xaxis 七、三维图像 38.创建一个三维画布 frommpl_toolkitsimportmplot3d fig = plt.figure ax = plt.axes(projection='3d') 39.绘制一个三维螺旋线 ax = plt.axes(projection='3d') # Data for a three-dimensional line zline = np.linspace(0,15,1000) ...