画心心

from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FormatStrFormatter
import matplotlib as mpl
mpl.use("Agg")
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
    # 取消坐标轴显示
    plt.axis('off')
    plt.savefig(r'/home/gzblue/xgx/1205/practice/data/heart_3d.png')
    plt.show()


if __name__ == '__main__':
    plot_implicit(heart_3d)