from mpl_toolkits.mplot3d.art3d import Poly3DCollection, Line3DCollection, Marker3DCollection, Path3DCollection, Text3DCollection, CubeAxes3D, Axes3D.azim, Axes3D.elev, Axes3D.dist, Projection3D.name_axis3d, Projection3D.name_projection, Projection3D.get_proj_class_by_name, Projection3D.get_vie...
import numpy as np import matplotlib.pyplot as plt fig = plt.figure() ax = fig.gca(projection='3d') # Plot a sin curve using the x and y axes. x = np.linspace(0, 1, 100) y = np.sin(x * 2 * np.pi) / 2 + 0.5 ax.plot(x, y, zs=0, zdir='z', label='curve in (...
To create an animation with changing camera angles, you can use a loop to update the view: import matplotlib.animation as animation def rotate(angle): ax.view_init(elev=10., azim=angle) return ax fig = plt.figure(figsize=(8, 6)) ax = fig.add_subplot(111, projection='3d') ax.plot...
在立体图中添加折线用 plot3D() 函数来实现,由于在 3D 空间画 2D 折线,那么也需要传入xs, ys, zs 三个参数。如下面代码第 6 和 7 行所示,在一个 for 循环中,固定期限维度 ys 不断添加折线 (xs, zs),即沿着价位维度 xs 的波动率值 zs。 虽然上图的视角不错,但有时默认的视角不是最好的,通过 vi...
frommpl_toolkits.mplot3dimportAxes3D #X,Y,Z are np.array #angle is a tuple, stands for the initial view angle of 3D figure defdraw3D(X,Y,Z, angle): fig=plt.figure(figsize=(15,7)) ax=Axes3D(fig) ax.view_init(angle[0],angle[1]) ...
一、绘制线形图 Axes3D.plot 函数用来绘制线形图。 import matplotlib.pyplot as plt import numpy as np from mpl_toolkits.mplot3d import Axes3D fig = plt...
view angle so it's easier to see that the scatter points lie # on the plane y=0 ax.view_...
(width=2, color='c') # 绘图格式 self.pw.plot(x, hist_b, stepMode="center", pen=penstate) self.label_imgdeep.setText(str(deep)) minVal, maxVal, _, _ = cv2.minMaxLoc(img) self.label_max.setText(str(int(maxVal))) self.label_min.setText(str(int(minVal))) mean, std = cv2....
importmatplotlib.pyplotaspltfrommpl_toolkits.mplot3dimportAxes3Dimportnumpyasnpprint("Welcome to how2matplotlib.com")# 创建一个新的图形fig=plt.figure()# 添加一个3D子图ax=fig.add_subplot(111,projection='3d')# 后续的绘图代码将在这里添加plt.show() ...
`from` `mpl_toolkits.mplot3d ``import` `Axes3D``import` `matplotlib.pyplotasplt``import` `numpyasnp` `def` `randrange(n, vmin, vmax):`` ``'''`` ``Helper function to make an array of random numbers having shape (n, )`` ``with each number distributed Uniform(vmin, vmax).`` ...