zoukankan      html  css  js  c++  java
  • cartographer_common_histogram

    class Histogram 数据直方图统计函数

    作用:统计所有数据中不同区间数据的个数

    • 函数:

      • 默认构造
    • add(float value) :添加数据

      • ToString(int buckets) :输出统计结果
    • buckets 输入,表示统计数据分成的区间数量

    • 参数:

      • values_; 待统计数据集合

    carto 代码引用说明:

    Histogram —> score_histogram_( 在 constraint_builder_2d.h Histogram of scan matcher scores.统计 评分激光地图匹配评分结果)


    为了更好理解代码,简单改了下类中函数,添加了打印,形成histogram_test.cc 可以直接编译运行。

    histogram_test.cc

    #include <iostream>
    #include <vector>
    #include <string>
    #include <algorithm>
    #include <stdio.h>
    #include <math.h>
    
    using namespace std;
    
    std::string toString2f(float a)
    {
    	char buffer[10];
    	sprintf(buffer, "%.2f", a);
    	std::string str = buffer;
    	return str;
    } 
    
    class Histogram {
     public:
      void Add(float value);
      std::string ToString(int buckets) const;
    
     private:
      std::vector<float> values_;
    };
    
    void Histogram::Add(const float value)
    {
     	cout << " add: " << value;
     	values_.push_back(value); 
    }	
    
    std::string Histogram::ToString(int buckets) const
    {
      cout << endl;
      if (values_.empty()) {
        return "Count: 0";
      }
       float min = *std::min_element(values_.begin(), values_.end());
       float max = *std::max_element(values_.begin(), values_.end());
    
    
    /*  std::string result = absl::StrCat("Count: ", values_.size(), "  Min: ", min,
                                        "  Max: ", max, "  Mean: ", mean);*/
      std::string result = "result: " ; 
      int values_size = values_.size();
      result +="count: " + to_string(values_size);
      result +="  Min: " + toString2f(min);
      result +="  Max: " + toString2f(max);
    
      if (min == max) {
        return result;
      }
    
      float lower_bound = min;
      int total_count = 0;
      for (int i = 0; i != buckets; ++i) {
        const float upper_bound =
            (i + 1 == buckets)
                ? max
                : (max * (i + 1) / buckets + min * (buckets - i - 1) / buckets);
        int count = 0;
        for (const float value : values_) {
          if (lower_bound <= value &&
              (i + 1 == buckets ? value <= upper_bound : value < upper_bound)) {
            ++count;
          }
        }
        total_count += count;
        result += "
    [" + toString2f(lower_bound) + "," + toString2f(upper_bound);
        result += i + 1 == buckets ? ']' : ')';
    
    /*    absl::StrAppendFormat(&result, "
    [%f, %f%c", lower_bound, upper_bound,
                              i + 1 == buckets ? ']' : ')');*/
    
        constexpr int kMaxBarChars = 20;
        const int bar =
            (count * kMaxBarChars + values_.size() / 2) / values_.size();
        result += "	";
        for (int i = 0; i != kMaxBarChars; ++i) {
          result += (i < (kMaxBarChars - bar)) ? " " : "#";
        }
        result += "	Count: "+ to_string(count) + " (" + 
        		toString2f(count * 1e2f / values_.size()) + "%)" 
        		+ "	Total: " + to_string(total_count) + " ("
        		+ toString2f(total_count * 1e2f / values_.size()) + "%)";
    
    /*    absl::StrAppend(&result, "	Count: ", count, " (",
                        count * 1e2f / values_.size(), "%)",
                        "	Total: ", total_count, " (",
                        total_count * 1e2f / values_.size(), "%)");*/
        lower_bound = upper_bound;
      }
      return result;
    }
    
    int main()
    {
    	Histogram h;
    	h.Add(1);h.Add(3);h.Add(6);
    	h.Add(3);h.Add(3);h.Add(8);
    	h.Add(4);h.Add(7);h.Add(9);
    	h.Add(2);h.Add(6);h.Add(5);
    	h.Add(3);h.Add(5);h.Add(7);
    	cout << h.ToString(3);
    }
    
    

    输出结果:

     add: 1 add: 3 add: 6 add: 3 add: 3 add: 8 add: 4 add: 7 add: 9 add: 2 add: 6 add: 5 add: 3 add: 5 add: 7
    result: count: 15  Min: 1.00  Max: 9.00
    [1.00,3.67)	            ########	Count: 6 (40.00%)	Total: 6 (40.00%)
    [3.67,6.33)	             #######	Count: 5 (33.33%)	Total: 11 (73.33%)
    [6.33,9.00]	               #####	Count: 4 (26.67%)	Total: 15 (100.00%)[Finished in 0.6s]
    
  • 相关阅读:
    【转载】#349
    【转载】#346
    【转载】#344
    【转载】#336
    【转载】#335
    【转载】#330
    【转载】#324
    win2008远程桌面卡顿和上传慢的解决方法
    sql2005导出数据字典
    第03组 Alpha冲刺 (6/6)
  • 原文地址:https://www.cnblogs.com/heimazaifei/p/12435855.html
Copyright © 2011-2022 走看看