1. 3D线框图(3D Line Plot) 3d绘图类型(1):线框图(Wireframe Plot)_QomolangmaH的博客-CSDN博客 https://blog.csdn.net/m0_63834988/article/details/132890293?spm=1001.2014.3001.5501 2. 3D散点图(3D Scatter Plot) 3d绘图类型(2)3D散点图(3D Scatter Plot)_QomolangmaH的博客-CSDN博客 https://blog....
mplot3d import Axes3D import matplotlib.pyplot as plt from matplotlib.lines import Line2D import numpy as np import pandas as pd # Create figure object fig = plt.figure() # Get the current axes, creating one if necessary. ax = fig.gca(projection='3d') # Get the Property Tax Report ...
接着,我们使用plot函数绘制了线图。最后,使用show函数显示图表。曲面图(Surface Plot)在Matplotlib中,可以使用surface函数来创建3D曲面图。以下是一个简单的示例:```pythonimport matplotlib.pyplot as pltimport numpy as npfrom mpl_toolkits.mplot3d import Axes3D # 导入3D绘图工具包from matplotlib import cm # ...
plt.plot(y+2,'3')#不声明marker,默认ls = Noneplt.plot(y+2.5,marker ='3')#声明了marker,ls 默认是实线plt.show() 多参数连用 #颜色、点型、线型x = np.linspace(0,5,10) plt.plot(x,3*x,'r-.') plt.plot(x, x** 2,'b^:')# blue line with dotsplt.plot(x, x** 3,'go-.'...
xline = np.sin(zline) yline = np.cos(zline) ax.plot3D(xline, yline, zline, 'gray') # Data for three-dimensional scattered points zdata = 15 * np.random.random(100) xdata = np.sin(zdata) + 0.1 * np.random.randn(100)
mplot3d是matplotlib中专门绘制3D图表的工具包，它主要包含一个继承自Axes的子类Axes3D，使用Axes3D类可以...
_toolkitsimportmplot3d;importnumpyasnp;importmatplotlib.pyplotasplt;importmath;fig=plt.figure(figsize=(6,4))ax=plt.axes(projection='3d')z=np.linspace(0,1,100)x=z*np.sin(20*z)y=z*np.cos(20*z)ax.scatter3D(x,y,z,'gray')ax.set_title('3D line plot')plt.savefig('scatter3d.png'...
.mplot3dimportAxes3Dfig=plt.figure()ax=fig.add_subplot(111,projection='3d')x1=[1,2,3,4,5]y1=[2,3,4,5,6]z1=[3,4,5,6,7]x2=[5,4,3,2,1]y2=[6,5,4,3,2]z2=[7,6,5,4,3]ax.plot(x1,y1,z1,label='Line 1')ax.plot(x2,y2,z2,label='Line 2',color='red')...
from mpl_toolkits import mplot3d %matplotlib inline import matplotlib.pyplot as plt import numpy as np ax = plt.axes(projection='3d') #三维线的数据 zline = np.linspace(0, 15, 1000) xline = np.sin(zline) yline = np.cos(zline) ...
ax = plt.axes(projection='3d') # 三维螺旋线的数据 zline= np.linspace(0,15,1000) xline=np.sin(zline) yline=np.cos(zline) ax.plot3D(xline, yline, zline,'gray') # 三维散点的数据 zdata=15* np.random.random(100) xdata= np.sin(zdata) +0.1* np.random.randn(100) ...