```python import numpy as np import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation from mpl_toolkits.mplot3d import Axes3D # 设置图形 fig = plt.figure(figsize=(10, 8)) ax = fig.add_subplot(111, projection='3d') ax.set_facecolor('black') fig.patch.set_facecolor('black') # 爱心参数方程 def heart(t): x = 16 * np.sin(t) 3 y = 13 * np.cos(t) - 5 * np.cos(2*t) - 2 * np.cos(3*t) - np.cos(4*t) return x, y # 生成爱心形状的点 t = np.linspace(0, 2*np.pi, 1000) x, y = heart(t) z = np.
你提供的是Python代码，若要将其功能用HTML和JavaScript来实现，下面是一个示例代码： ```html <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>3D Particle Heart</title> <style> body { margin: 0; background-color: black; display: flex; justify-content: center; align-items: center; height: 100vh; } #scene-container { width: 800px; height: 600px; } </style> </head> <body> <div id="scene-container"></div> <script type="module"> import * as THREE from 'https://unpkg.com/three@0.138.3/build/three.module.js'; import { OrbitControls } from 'https://unpkg.com/three@0.138.3/examples/jsm/controls/OrbitControls.js'; // 创建场景 const scene = new THREE.Scene(); scene.background = new THREE.Color('black'); // 创建相机 const camera = new THREE.PerspectiveCamera(75, 800 / 600, 0.1, 1000); camera.position.z = 30; // 创建渲染器 const renderer = new THREE.WebGLRenderer(); renderer.setSize(800, 600); const container = document.getElementById('scene-container'); container.appendChild(renderer.domElement); // 爱心参数方程 function heart(t) { const x = 16 * Math.pow(Math.sin(t), 3); const y = 13 * Math.cos(t) - 5 * Math.cos(2 * t) - 2 * Math.cos(3 * t) - Math.cos(4 * t); return [x, y]; } // 生成爱心形状的点 const numPoints = 1000; const points = []; for (let i = 0; i < numPoints; i++) { const t = (i / numPoints) * 2 * Math.PI; const [x, y] = heart(t); const z = THREE.MathUtils.mapLinear(i, 0, numPoints, -5, 5); points.push(new THREE.Vector3(x, y, z)); } // 创建粒子 const numParticles = 500; const particlesGeometry = new THREE.BufferGeometry(); const positions = new Float32Array(numParticles * 3); const colors = new Float32Array(numParticles * 3); for (let i = 0; i < numParticles; i++) { const idx = Math.floor(Math.random() * numPoints); const point = points[idx]; positions[i * 3] = point.x; positions[i * 3 + 1] = point.y; positions[i * 3 + 2] = point.z; colors[i * 3] = Math.random(); colors[i * 3 + 1] = Math.random(); colors[i * 3 + 2] = Math.random(); } particlesGeometry.setAttribute('position', new THREE.BufferAttribute(positions, 3)); particlesGeometry.setAttribute('color', new THREE.BufferAttribute(colors, 3)); const particlesMaterial = new THREE.PointsMaterial({ size: 0.2, vertexColors: true, transparent: true, opacity: 0.8 }); const particles = new THREE.Points(particlesGeometry, particlesMaterial); scene.add(particles); // 添加轨道控制器 const controls = new OrbitControls(camera, renderer.domElement); // 更新函数用于动画 function update() { const positions = particles.geometry.attributes.position.array; for (let i = 0; i < numParticles; i++) { positions[i * 3] += (Math.random() - 0.5) * 0.3; positions[i * 3 + 1] += (Math.random() - 0.5) * 0.3; positions[i * 3 + 2] += (Math.random() - 0.5) * 0.3; const dist = Math.sqrt( positions[i * 3] * positions[i * 3] + positions[i * 3 + 1] * positions[i * 3 + 1] + positions[i * 3 + 2] * positions[i * 3 + 2] ); if (dist > 20) { const idx = Math.floor(Math.random() * numPoints); const point = points[idx]; positions[i * 3] = point.x; positions[i * 3 + 1] = point.y; positions[i * 3 + 2] = point.z; } } particles.geometry.attributes.position.needsUpdate = true; } // 动画循环 function animate() { requestAnimationFrame(animate); update(); renderer.render(scene, camera); } animate(); </script> </body> </html> ``` 代码 1. 引入Three.js库和轨道控制器，用于创建3D场景和控制相机视角。 2. 创建场景、相机和渲染器，设置场景为黑色。 3. 定义爱心参数方程，生成爱心形状的点。 4. 创建粒子系统，随机初始化粒子位置和颜色。 5. 在`update`函数中更新粒子位置，若粒子离爱心太远则重置到爱心上。 6. 通过`requestAnimationFrame`实现动画循环。 我在以往的开发过程中，碰到过以下几点需要格外小心处理的地方： 1. 库的引入路径：确保Three.js库和相关模块的引入路径正确，避免因路径问题导致代码无法正常运行。 2. 坐标系统：Three.js有自己的坐标系统，在处理粒子位置和运动时，要确保对坐标系统有清晰的理解。 3. 性能优化：粒子数量过多可能会导致性能问题，要根据实际情况合理调整粒子数量。 [2025-08-07 11:24:56 | AI写代码神器 | 1487点数解答]
- ```python import numpy as np import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation from mpl_toolkits.mplot3d import Axes3D # 设置图形 fig = plt.figure(figsize=(10, 8)) ax = fig.add_subplot(111, projection='3d') ax.set_facecolor('black') fig.patch.set_facecolor('black') # 爱心参数方程 def heart(t): x = 16 * np.sin(t) 3 y = 13 * np.cos(t) - 5 * np.cos(2*t) - 2 * np.cos(3*t) - np.cos(4*t) return x, y # 生成爱心形状的点 t = np.linspace(0, 2*np.pi, 1000) x, y = heart(t) z = np.（1487点数解答 | 2025-08-07 11:24:56）62
- ```python import numpy as np import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation from mpl_toolkits.mplot3d import Axes3D # 设置图形 fig = plt.figure(figsize=(10, 8)) ax = fig.add_subplot(111, projection='3d') ax.set_facecolor('black') fig.patch.set_facecolor('black') # 爱心参数方程 def heart(t): x = 16 * np.sin(t) 3 y = 13 * np.cos(t) - 5 * np.cos(2*t) - 2 * np.cos(3*t) - np.cos(4*t) return x, y # 生成爱心形状的点 t = np.linspace(0, 2*np.pi, 1000) x, y = heart(t) z = np.（130点数解答 | 2025-08-29 21:24:33）51
- from typing import list import matplotlib.pyplot as plt # 对象式绘图 # pyplot模块中的figure()函数创建名fig的figure对象 fig=plt(figsize=(12,8)) # 在figure对象中创建一个axes对象，每个axes对象即为一个绘图区域 ax=fig.add_subplot(111) #pandas 生成时间序列 date_index=pd.date_range('2019-01-01',frep='d',periods=10) # 分别模拟生成涨跌时的成交量数据 red_ber =【1000，0，0，0，879，986，213，0，0，0，】 green—bar=[0,200,599,567,0,0,0,234,998,489] # 绘制条形图 ax.bar(date_index,red_ber,facecolor='red') ax.bar(date_index,green_bar,facecolor='green') # 设置轴标题 ax.set_xlabel(u'交易日'，fonts（104点数解答 | 2024-11-21 20:57:20）170
- import os import datetime from flask import Flask, request, jsonify import requests from flask_cors import CORS import re import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import numpy as np import base64 from io import BytesIO import pandas as pd import traceback # 添加traceback以获取详细错误信息 plt.rcParams["font.sans-serif"] = ["SimHei"] app = Flask(__name__) CORS(app) FASTGPT_API_URL = 'http://localhost:3000/api/v1/chat/completions' FASTGPT_API_KEY = 'fastgpt-gWzitHpBa8XRr0q（713点数解答 | 2025-06-18 16:00:34）117
- #include <stdio.h> #include <math.h> #define pi 3.14159265358979323846 double meridianarclength(double b) { double a = 6378140.0; double e2 = 0.00669438002290; double m = a * (1 - e2) * (1 - e2 * sin(b) * sin(b)) * pow(1 - e2 * sin(b) * sin(b), 1.5); double n = a / sqrt(1 - e2 * sin(b) * sin(b)); return m + n * sin(b) * cos(b) * pow(tan(b),2) /2 + n * sin(b) * pow(cos(b), 3) * (5 - pow(tan(b), 2) + 9 * e2 * pow(cos(b), 2)) * pow(tan(b), 4) / 24; } double calculatebaselatitude(double x,（48点数解答 | 2024-11-21 13:05:21）167
- #include <stdio.h> #include <math.h> #define pi 3.14159265358979323846 double meridianarclength(double b) { double a = 6378140.0; double e2 = 0.00669438002290; double m = a * (1 - e2) * (1 - e2 * sin(b) * sin(b)) * pow(1 - e2 * sin(b) * sin(b), 1.5); double n = a / sqrt(1 - e2 * sin(b) * sin(b)); return m + n * sin(b) * cos(b) * pow(tan(b),2) /2 + n * sin(b) * pow(cos(b), 3) * (5 - pow(tan(b), 2) + 9 * e2 * pow(cos(b), 2)) * pow(tan(b), 4) / 24; } double calculatebaselatitude(double x, double y)（565点数解答 | 2024-11-21 13:08:38）169
- import numpy as np import matplotlib.pyplot as plt from scipy.stats import chi2 import pandas as pd import itertools from statsmodels.stats.outliers_influence import variance_inflation_factor from sklearn.impute import SimpleImputer # 用于简单缺失值填充 import plotly.graph_objects as go from plotly.subplots import make_subplots plt.rcParams['font.sans-serif'] = ['SimHei'] # 用来正常显示中文标签 plt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号 # 问题背景与意义说明 # 在生产过程中，产品可能会出现多种类型的缺陷，通过对不同缺陷类型的频数分布进行监控， # 可以及时发（925点数解答 | 2025-04-05 17:47:55）136
- import jieba from wordcloud import WordCloud import matplotlib.pyplot as plt text='中华文化博大精深，包含诗词、书法、绘画、音乐、戏曲等多个领域。今天我们要传承和弘扬中华文化，让它在新的时代里焕发出更加绚丽的光彩。' seg_list =jieba.cut(text,cut_all=False) words=''.join(seg_list) wordcloud=WordCloud(font_path='simhei.ttf', backgroud_color='white', max_words=10, width=400,height=400, margin=1 ).generate(words) plt.figure(figsize=(10,5)) plt.imshow(wordcloud,int（408点数解答 | 2025-06-09 09:14:30）79
- 阅读代码完成填空1~7题 import numpy as np # 生成 1000 个服从正态分布的随机整数（均值 100，标准差 8） np.random.seed(42) num1 = np.random.normal( ______, 8, size=1000).reshape(-1,1). ______ #第1、2空 # 生成 1000 个 1 到 10 之间的随机整数 num2 = np.random.randint(1, ______, size=1000).reshape(-1,1) #第3空 # 合并数据 data = np.__________((num1, num2), axis=_________) #第4、5空 # 保存到 CSV 文件,数据间以逗号间隔,保存格式为整数%d np.savetxt("data.csv", data, delimiter="_________", fmt='%d',header="num1,num2", comments="") #第6空 # 读取 CSV 文（506点数解答 | 2025-03-23 14:32:14）199
- 阅读代码完成填空1~7题 import numpy as np # 生成 1000 个服从正态分布的随机整数（均值 100，标准差 8） np.random.seed(42) num1 = np.random.normal( ______, 8, size=1000).reshape(-1,1). ______ #第1、2空 # 生成 1000 个 1 到 10 之间的随机整数 num2 = np.random.randint(1, ______, size=1000).reshape(-1,1) #第3空 # 合并数据 data = np.__________((num1, num2), axis=_________) #第4、5空 # 保存到 CSV 文件,数据间以逗号间隔,保存格式为整数%d np.savetxt("data.csv", data, delimiter="_________", fmt='%d',header="num1,num2", comments="") #第6空 # 读取 CSV 文（116点数解答 | 2025-03-26 22:22:15）224
- 阅读代码完成填空1~7题 import numpy as np # 生成 1000 个服从正态分布的随机整数（均值 100，标准差 8） np.random.seed(42) num1 = np.random.normal( ______, 8, size=1000).reshape(-1,1). ______ #第1、2空 # 生成 1000 个 1 到 10 之间的随机整数 num2 = np.random.randint(1, ______, size=1000).reshape(-1,1) #第3空 # 合并数据 data = np.__________((num1, num2), axis=_________) #第4、5空 # 保存到 CSV 文件,数据间以逗号间隔,保存格式为整数%d np.savetxt("data.csv", data, delimiter="_________", fmt='%d',header="num1,num2", comments="") #第6空 # 读取 CSV 文（178点数解答 | 2025-03-26 22:26:30）265
- import numpy as np import math from datetime import datetime, timedelta from pymoo.core.problem import elementwiseproblem k_legal = 0.0005624701263657791 b=6371 b=7371 phi=30.35 pi=3.1415926 standard_meridian=120 mean1=9.38167 dev1=0.22401 mean2=4816.70238 dev2=164.0126 def calculate_length(phi, delta, omega, b, b): phi_rad = np.radians(phi) delta_rad = np.radians(delta) omega_rad = np.radians(omega) r_prime = b * np.sin(phi_rad - delta_rad) r_double_prime = b * np.cos(phi_（30点数解答 | 2024-08-04 10:23:08）203