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原文 因为需要再打印中文,再原代码上做了修改,引入了字体文件。 代码 #coding=utf-8 #3D心形 from mpl_toolkits.mplot3d import Axes3D from matplotlib
原文
#coding=utf-8
#3D心形
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FORMatStrFormatter
import matplotlib.pyplot as plt
import numpy as np
import matplotlib
#设置字体
myfont = matplotlib.font_manager.FontProperties(fname="SIMLI.TTF")#SIMLI.TTF与.py在同一目录下 字体文件库windows一堆
matplotlib.rcParams['axes.unicode_minus'] = False
def heart_3d(x,y,z):
return (x**2+(9/4)*y**2+z**2-1)**3-x**2*z**3-(9/80)*y**2*z**3
def plot_implicit(fn, bbox=(-1.5, 1.5)):
xmin, xmax, ymin, ymax, zmin, zmax = bbox*3
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
A = np.linspace(xmin, xmax, 100) # resolution of the contour
B = np.linspace(xmin, xmax, 40) # number of slices
A1, A2 = np.meshgrid(A, A) # grid on which the contour is plotted
for z in B: # plot contours in the XY plane
X, Y = A1, A2
Z = fn(X, Y, z)
cset = ax.contour(X, Y, Z+z, [z], zdir='z', colors=('r',))
# [z] defines the only level to plot
# for this contour for this value of z
for y in B: # plot contours in the XZ plane
X, Z = A1, A2
Y = fn(X, y, Z)
cset = ax.contour(X, Y+y, Z, [y], zdir='y', colors=('red',))
for x in B: # plot contours in the YZ plane
Y, Z = A1, A2
X = fn(x, Y, Z)
cset = ax.contour(X+x, Y, Z, [x], zdir='x',colors=('red',))
# must set plot limits because the contour will likely extend
# way beyond the displayed level. Otherwise matplotlib extends the plot limits
# to encompass all values in the contour.
ax.set_zlim3d(zmin, zmax)
ax.set_xlim3d(xmin, xmax)
ax.set_ylim3d(ymin, ymax)
#标题
plt.title(u"这是一个标题",fontproperties=myfont)
#取消坐标轴显示
plt.axis('off')
plt.show()
if __name__ == '__main__':
plot_implicit(heart_3d)
最后效果
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本文标题: Python画3D心形
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