本人在学习使用 plotly 的contour plots 制做的时候,发现利用这个表格制做波的干涉模拟方面有很不错的效果,由于以前被各类波动方程和振动方程教育了好久,因此就用波函数来开动,下面分享代码,供你们参考。(我用 java 写的代码模拟的波函数的测试数据)html
下面是 plotly 的所有代码,里面包含了两种生成 contour plots 图表的方式,一个生成的是单个图表,可是带着等高线,因此被我放弃了。另一个生成是图表矩阵,我选的row=1,cols=1的模式。java
#!/usr/bin/python # coding=utf-8 import plotly.plotly from plotly.graph_objs import * import plotly.graph_objs as go import plotly.tools as tool z = [] with open("/Users/Vicky/Documents/workspace/fission/long/intervene.log") as apidata: for i in apidata: data = i.split("\n")[0].split(",") z.append(data) ''' #这是单独一个表格的状况,但没找到去掉等高线的方法 data = Data([ Contour( z=z, contours = dict( coloring="heatmap" ) ) ]) plotly.offline.plot(data,filename="3333.html") ''' data = { 'z': z, 'connectgaps': True, 'type': 'heatmap', 'zsmooth': 'best', 'showscale': True } fig = tool.make_subplots(rows=1, cols=1) fig.append_trace(data, 1, 1) plotly.offline.plot(fig,filename= "3333.html")
下面是 java 生成数据的代码:python
package practise; import java.awt.Point; import java.util.ArrayList; import java.util.List; import source.SourceCode; public class Intervene extends SourceCode { public List<List<Double>> data = new ArrayList<>(); public static void main(String[] args) { Intervene intervene = new Intervene(); intervene.testDemo001(); } public void testDemo001() { Point point1 = new Point(50, 50); Point point2 = new Point(150, 50); int lamda = 6; for (int i = 0; i < 100; i++) {// y 轴 List<Double> distance = new ArrayList<>(); for (int j = 0; j < 200; j++) {// x 轴 Point point = new Point(j, i); double x = point.distance(point1) % lamda / lamda; double y = point.distance(point2) % lamda / lamda; double xx = Math.sin(x * 2 * Math.PI); double yy = Math.sin(y * 2 * Math.PI); distance.add(xx + yy); } data.add(distance); } StringBuffer content = new StringBuffer(); int size = data.size(); for (int i = 0; i < size; i++) { String text = data.get(i).toString(); text = text.substring(1, text.length() - 1); if (i == 0) content.append(text); content.append(LINE + text); } logLong("intervene.log", content.toString()); } }
下面是生成图表:编程