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基于Processing的数据可视化

时间:2015-01-21 14:46:31      阅读:143      评论:0      收藏:0      [点我收藏+]

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虽然数据可视化领域有很多成熟、界面友好、功能强大的软件产品(例如Tableau、VIDI、NodeXL等),但是借助Processing我们可以基于Java语言框架进行丰富多元的可视化编程,熟悉了Processing也可以说是上一学期Topics课程的最大收获,以另一种方式将数据重新组织、统计并以可视化界面展现出来。今天再看其他资料时碰巧看到XX对Processing的支持,颇感亲切,所以决定把上学期Topics的作业过程记录下来。

可视化内容是从Databank下载的217个国家、6个地区的7项统计数据。要求从通过数据可视化看出每个指标的变化趋势、所选不同国家之间的对比情况、不同时间段数据变化、不同地区所包含国家的统计数据对比等。

– Electricity production (kWh)
– Electricity production from renewable sources (kWh)
– Electric power consumption (kWh)
– Electric power consumption (kWh per capita)
– CO2 emissions (metric tons per capita)
– CO2 emissions (kt)
– Population, total

数据文件如下:

技术分享

 

最终可视化结果如下:

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源码如下:

  1 import processing.core.*; 
  2 import processing.data.*; 
  3 import processing.event.*; 
  4 import processing.opengl.*; 
  5 
  6 import controlP5.*; 
  7 import java.lang.Math; 
  8 
  9 import java.util.HashMap; 
 10 import java.util.ArrayList; 
 11 import java.io.File; 
 12 import java.io.BufferedReader; 
 13 import java.io.PrintWriter; 
 14 import java.io.InputStream; 
 15 import java.io.OutputStream; 
 16 import java.io.IOException; 
 17 
 18 public class TCS1 extends PApplet {
 19   
 20 ControlP5 cp5;
 21 
 22 
 23 FloatTable data, dataRegion; 
 24 float dataMin, dataMax; 
 25 float volumnMax;
 26 
 27 float plotX1, plotY1; 
 28 float plotX2, plotY2; 
 29 float labelX, labelY;
 30 
 31 int yearMin, yearMax; 
 32 int[] years; 
 33 int yearInterval = 3;
 34 
 35 
 36 int showRow = 6;
 37 int showRegionRow = 0;
 38 
 39 int yearStartCol = 8;
 40 
 41 //Integrator[] interpolators;
 42 
 43 PFont plotFont;
 44 DropdownList dropCountry, dropCate, dropRegion;
 45 
 46 boolean isNormalOn = true;
 47 boolean isGroupOn = false;
 48 boolean isCompareOn = false;
 49 
 50 
 51 int groupMode = 1;
 52 static final int GROUP_MODE_REGIONS = 1;
 53 static final int GROUP_MODE_DECADES = 2;
 54 
 55 IntList listCompare = new IntList();
 56 int[][] compareColors = new int[300][3];
 57 int cateCompare = 0;
 58 
 59 int[] decadeYearIndex = new int[4];
 60 String[] decadeYearStr = new String[4];
 61 
 62 public void setup() { 
 63   size(1200, 750); 
 64 
 65 
 66   cp5 = new ControlP5(this);
 67   data = new FloatTable("data.tsv");
 68   dataRegion = new FloatTable("region.tsv");
 69 
 70   years = PApplet.parseInt(data.getColumnNames());
 71 
 72   yearMin = years[yearStartCol]; 
 73   yearMax = years[years.length - 1]; 
 74 
 75   //init decade year
 76   for (int i=7; i>3; i--) {
 77     decadeYearStr[7-i] = data.getColumnNames()[i];
 78     decadeYearIndex[7-i] = 7-i;
 79   }
 80 
 81 
 82 
 83   
 84   interpolators = new Integrator[data.getColumnCount()];
 85    for(int col=yearStartCol; col=weishu; i--) {
 86         maxStr += "0";
 87         eachStr += "0";
 88       }
 89       eachStr += "0" + firstNum;
 90       maxStr += firstNum + "";
 91     } 
 92     else {
 93       for (int i=-1; i>=weishu+1; i--) {
 94         maxStr += "0";
 95         eachStr += "0";
 96       }
 97       eachStr += "0" + firstNum;
 98       maxStr += firstNum + "";
 99     }
100   } 
101   else if (weishu == 0) {
102     if (firstNum != 10) {
103       maxStr = "0."+firstNum;
104       eachStr = "0.0" + firstNum;
105     } 
106     else {
107       maxStr = firstNum / 10 + "";
108       eachStr = "0." + firstNum / 10;
109     }
110   }
111   else if (weishu == 1) {
112     if (firstNum != 10) {
113       maxStr = firstNum + "";
114       eachStr = "0." + firstNum;
115     } 
116     else {
117       maxStr = firstNum + "";
118       eachStr = firstNum / 10 + "";
119     }
120   }
121   else {
122     maxStr += firstNum + "";
123     eachStr += firstNum + "";
124     for (int i=1; i= 10) {
125         if (weishu == 0) {
126           volumnNumbers[i] = currentFirstNum / 100 + "";
127         }
128         else {
129           volumnNumbers[i] = currentFirstNum / pow(10, 2-weishu) + "";
130         }
131       }
132       else if (PApplet.parseFloat(currentFirstNum) / 10 >= 1) {
133         volumnNumbers[i] += "0.";
134         for (int j=-1; j>weishu-1;j--) {
135           volumnNumbers[i] += "0";
136         }
137         volumnNumbers[i] += currentFirstNum;
138       }
139       else {
140         volumnNumbers[i] += "0.";
141         for (int j=-1; j>weishu-2;j--) {
142           volumnNumbers[i] += "0";
143         }
144         volumnNumbers[i] += currentFirstNum;
145       }
146     } 
147     else if (weishu == 1) {
148       if (PApplet.parseFloat(currentFirstNum) / 10 >= 1) {
149 
150         volumnNumbers[i] = (currentFirstNum / 10) + "." + (currentFirstNum - ((currentFirstNum / 10) * 10));
151       } 
152       else {
153         volumnNumbers[i] = "0."+currentFirstNum;
154       }
155     }
156     else {
157       volumnNumbers[i] = currentFirstNum + "";
158       for (int j=0; j 0) {
159     if (v > 100) {
160       return String.format("%.0f", v);
161     } 
162     else if (v > 10) {
163       return String.format("%.2f", v);
164     } 
165     else if (v > 1) {
166       return String.format("%.3f", v);
167     } 
168     else {
169       return String.format("%.4f", v);
170     }
171   }
172   return "";
173 }
174 
175 
176 public void drawDataPoints(int row) {
177   for (int col=yearStartCol; col3; col--) {
178     if (data.isValid(row, col)) {
179       float value = data.getFloat(row, col);
180       System.out.println(value);
181       float x = map(decadeYearIndex[7-col], -0.7f, 3.7f, plotX1, plotX2);
182       float y = map(value, 0, volumnMax, plotY2, plotY1);
183 
184       rect(x-(recWidth / 2), y, recWidth, plotY2 - y);
185      
186       text(value, x, y - 20);
187     }
188   }
189 }
190 
191 
192 public void drawDataLine(int row) {
193   beginShape();
194   //stroke(23, 23, 23);
195   for (int col=yearStartCol; col= data.length)) {
196       throw new RuntimeException("There is no row " + rowIndex);
197     }
198     if ((col < 0) || (col >= data[rowIndex].length)) {
199       throw new RuntimeException("Row " + rowIndex + " does not have a column " + col);
200     }
201     // end training wheels
202     
203     return data[rowIndex][col];
204   }
205   
206   
207   public boolean isValid(int row, int col) {
208     //System.out.println("data[6].length" + data[6].length);
209     if (row < 0) return false;
210     if (row >= rowCount) return false;
211     //if (col >= columnCount) return false;
212     if (col >= data[row].length) return false;
213     if (col < 0) return false;
214     if(data[row][col] == 0) return false;
215     return !Float.isNaN(data[row][col]);
216   }
217 
218 
219   public float getColumnMin(int col) {
220     float m = Float.MAX_VALUE;
221     for (int row = 0; row < rowCount; row++) {
222       if (isValid(row, col)) {
223         if (data[row][col] < m) {
224           m = data[row][col];
225         }
226       }
227     }
228     return m;
229   }
230 
231 
232   public float getColumnMax(int col) {
233     float m = -Float.MAX_VALUE;
234     for (int row = 0; row < rowCount; row++) {
235       if (isValid(row, col)) {
236         if (data[row][col] > m) {
237           m = data[row][col];
238         }
239       }
240     }
241     return m;
242   }
243 
244   
245   public float getRowMin(int row) {
246     float m = Float.MAX_VALUE;
247     for (int col = 0; col < columnCount; col++) {
248       if (isValid(row, col)) {
249         if (data[row][col] < m) {
250           m = data[row][col];
251         }
252       }
253     }
254     return m;
255   } 
256 
257 
258   public float getRowMax(int row) {
259     float m = -Float.MAX_VALUE;
260     for (int col = 0; col < columnCount; col++) {
261       if (isValid(row, col)) {
262         if (data[row][col] > m) {
263           m = data[row][col];
264         }
265       }
266     }
267     return m;
268   }
269 
270 
271   public float getTableMin() {
272     float m = Float.MAX_VALUE;
273     for (int row = 0; row < rowCount; row++) {
274       for (int col = 0; col < columnCount; col++) {
275         if (isValid(row, col)) {
276           if (data[row][col] < m) {
277             m = data[row][col];
278           }
279         }
280       }
281     }
282     return m;
283   }
284 
285 
286   public float getTableMax() {
287     float m = -Float.MAX_VALUE;
288     for (int row = 0; row < rowCount; row++) {
289       for (int col = 0; col < columnCount; col++) {
290         if (isValid(row, col)) {
291           if (data[row][col] > m) {
292             m = data[row][col];
293           }
294         }
295       }
296     }
297     return m;
298   }
299   
300   public boolean hasData(int row, int startCol) {
301     boolean hasData = false;
302     for (int col = startCol; col < columnCount; col++) {
303       //System.out.println("row="+row+" col="+col+" isValid="+isValid(row, col));
304       if (isValid(row, col)) {
305         hasData = true;
306         break;
307       }
308     }
309     return hasData;
310   }
311   
312   
313   public float getRowMin(int row, int startCol) {
314     float m = Float.MAX_VALUE;
315       for (int col = startCol; col < columnCount; col++) {
316         
317         //System.out.println("row="+row+" col="+col+" isValid="+isValid(row, col));
318         if (isValid(row, col)) {
319           if (data[row][col] < m) {
320             m = data[row][col];
321           }
322         }
323       }
324     return m;
325   }
326   
327   public float getRowMax(int row, int startCol) {
328     float m = -Float.MAX_VALUE;
329       for (int col = startCol; col < columnCount; col++) {
330         //System.out.println("row="+row+" col="+col+" isValid="+isValid(row, col));
331         if (isValid(row, col)) {
332           if (data[row][col] > m) {
333             m = data[row][col];
334           }
335         }
336       }
337     return m;
338   }
339   
340   public float getRowMin(int row, int startCol, int endCol) {
341     float m = Float.MAX_VALUE;
342       for (int col = startCol; col < endCol + 1; col++) {
343         
344         //System.out.println("row="+row+" col="+col+" isValid="+isValid(row, col));
345         if (isValid(row, col)) {
346           if (data[row][col] < m) {
347             m = data[row][col];
348           }
349         }
350       }
351     return m;
352   }
353   
354   public float getRowMax(int row, int startCol, int endCol) {
355     float m = -Float.MAX_VALUE;
356       for (int col = startCol; col < endCol + 1; col++) {
357         //System.out.println("row="+row+" col="+col+" isValid="+isValid(row, col));
358         if (isValid(row, col)) {
359           if (data[row][col] > m) {
360             m = data[row][col];
361           }
362         }
363       }
364     return m;
365   }
366 }
367 class Integrator {
368 
369   final float DAMPING = 0.5f;
370   final float ATTRACTION = 0.2f;
371 
372   float value;
373   float vel;
374   float accel;
375   float force;
376   float mass = 1;
377 
378   float damping = DAMPING;
379   float attraction = ATTRACTION;
380   boolean targeting;
381   float target;
382 
383 
384   Integrator() { }
385 
386 
387   Integrator(float value) {
388     this.value = value;
389   }
390 
391 
392   Integrator(float value, float damping, float attraction) {
393     this.value = value;
394     this.damping = damping;
395     this.attraction = attraction;
396   }
397 
398 
399   public void set(float v) {
400     value = v;
401   }
402 
403 
404   public void update() {
405     if (targeting) {
406       force += attraction * (target - value);      
407     }
408 
409     accel = force / mass;
410     vel = (vel + accel) * damping;
411     value += vel;
412 
413     force = 0;
414   }
415 
416 
417   public void target(float t) {
418     targeting = true;
419     target = t;
420   }
421 
422 
423   public void noTarget() {
424     targeting = false;
425   }
426 }
427   static public void main(String[] passedArgs) {
428     String[] appletArgs = new String[] { "TCS1" };
429     if (passedArgs != null) {
430       PApplet.main(concat(appletArgs, passedArgs));
431     } else {
432       PApplet.main(appletArgs);
433     }
434   }
435 }

 

基于Processing的数据可视化

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原文地址:http://www.cnblogs.com/justin-wang/p/4238636.html

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