我有一个包含3列的txt文件:"dd/mm/yyyy HH:MM:SS number(000.000)"
。大约有368个条目。
我想选择strings
,其中第3列的值是唯一的(第一次见面)。订单很重要。
在我的代码中,我在vector
(dtp
)中读取文件,然后在column
(vector
,data
中填写每个time
, pressure
)。然后我从第3列删除值并获取this。
我的问题是如何使用正确的索引添加第1列和第2列并获取this?
数据示例(第15期值):
26.07.2017 15:47:38 82.431
26.07.2017 16:47:46 83.431
26.07.2017 17:47:54 85.431
26.07.2017 18:48:02 84.431
26.07.2017 19:48:09 83.431
26.07.2017 20:48:17 83.431
26.07.2017 21:48:24 84.431
26.07.2017 22:48:32 83.431
26.07.2017 23:48:40 83.431
27.07.2017 00:48:48 84.431
27.07.2017 01:48:55 84.431
27.07.2017 02:49:03 84.431
27.07.2017 03:49:10 84.431
27.07.2017 04:49:19 84.431
27.07.2017 05:49:27 86.431
代码:
include <iostream>
include <fstream>
include <string>
include <algorithm>
include <iterator>
include <sstream>
include <vector>
include <cstring>
include <ctime>
using namespace std;
int main()
{
const clock_t start = clock();
system("mode con cols=50 lines=1000");
setlocale(LC_ALL, "Russian");
vector<string> dtp;
vector<string> data;
vector<string> time;
vector<double> pressure;
double num(0.0);
string line, tmp1, tmp2;
int len = 368;
int f, i, j, k;
ifstream file("data.txt");
while (!getline(file, line).eof())
dtp.push_back(line);
for (string &it : dtp)
{
{
istringstream isstr(it);
isstr >> tmp1;
data.push_back(tmp1);
}
{
istringstream isstr(it);
isstr >> tmp1 >> tmp2;
time.push_back(tmp2);
}
{
istringstream isstr(it);
isstr >> tmp1 >> tmp2 >> num;
pressure.push_back(num);
}
}
f = 0;
for (i = 0; i < len; i++)
{
for (j = i + 1; j < len; j++)
{
if (pressure[i] == pressure[j])
{
for (k = j; k < (len - 1); k++)
pressure[k] = pressure[k + 1];
len--;
j--;
f = 1;
}
}
}
if (f == 1)
{
for (i = 0; i < len; i++)
cout << pressure[i] << endl;
}
const double vremya = static_cast<double>(clock() - start) / CLOCKS_PER_SEC;
cout << "Time is: " << vremya << " seconds" << endl;
system("pause");
return 0;
}
答案 0 :(得分:1)
我认为你最好把它想象成一个有两列的表:
Timestamp Pressure
与之合作。使用时间戳有助于使用date/time library which can parse, format and order time stamps。
这是它的样子。代码下方的详细说明:
#include "date/date.h"
#include <algorithm>
#include <iostream>
#include <sstream>
#include <utility>
#include <vector>
std::istringstream file
{
"26.07.2017 15:47:38 82.431\n"
"26.07.2017 16:47:46 83.431\n"
"26.07.2017 17:47:54 85.431\n"
"26.07.2017 18:48:02 84.431\n"
"26.07.2017 19:48:09 83.431\n"
"26.07.2017 20:48:17 83.431\n"
"26.07.2017 21:48:24 84.431\n"
"26.07.2017 22:48:32 83.431\n"
"26.07.2017 23:48:40 83.431\n"
"27.07.2017 00:48:48 84.431\n"
"27.07.2017 01:48:55 84.431\n"
"27.07.2017 02:49:03 84.431\n"
"27.07.2017 03:49:10 84.431\n"
"27.07.2017 04:49:19 84.431\n"
"27.07.2017 05:49:27 86.431\n"
};
int
main()
{
using record = std::pair<date::sys_seconds, double>;
std::vector<record> records;
while (file)
{
record r;
file >> date::parse(" %d.%m.%Y %T", r.first) >> r.second;
if (file.fail())
break;
records.push_back(std::move(r));
}
std::sort(records.begin(), records.end(), [](const auto& x, const auto& y)
{return x.first < y.first;});
std::stable_sort(records.begin(), records.end(),
[](const auto& x, const auto& y)
{return x.second < y.second;});
records.erase(std::unique(records.begin(), records.end(),
[](const auto& x, const auto& y)
{return x.second == y.second;}),
records.end());
std::sort(records.begin(), records.end(), [](const auto& x, const auto& y)
{return x.first < y.first;});
for (const auto& r : records)
std::cout << date::format("%d.%m.%Y %T ", r.first) << r.second << '\n';
}
为了便于演示,我已将data.tx
放入istringstream
。不要让细节绊倒你。对于main
或istringstream
,<{1}}同样可以正常使用。
我正在重复ifstream
作为我的std::pair
,但如果您愿意,可以编写自己的record
结构。无论如何,您希望从数据库中收集record
。这就是vector<record>
循环的作用。此循环使用Howard Hinnant's free, open-source date/time library来解析时间戳,但您也可以使用其他几种解决方案。
从数据库中填写while
后,有三个records
将为您完成此任务(分为4个步骤):
按时间戳排序std::algorithms
。
通过压力稳定排序records
。对于相等的压力,这将保留时间戳的排序顺序。
独特的压力列表。此算法将重复压力移动到列表的后面,并将迭代器返回到列表的“新结束”。然后,您需要清除records
。
如果您希望按时间顺序查看列表,请按时间戳排序。
你已经完成了!只需打印出来。这将输出:
[new_end, old_end)
匹配所需输出的前缀。
答案 1 :(得分:0)
您的插入订单似乎与日期/时间顺序相对应。如果是这种情况,您可以执行以下操作:
struct Record
{
std::chrono::system_clock::time_point time_point;
double pressure;
};
std::vector<Record> records = /**/;
const auto lessPressure = [](const auto& lhs, const auto& lhs){
return lhs.pressure < rhs.pressure;
};
std::stable_sort(records.begin(), records.end(), lessPressure);
const auto equalPressure = [](const auto& lhs, const auto& lhs){
return lhs.pressure == rhs.pressure;
};
records.erase(std::unique(records.begin(), records.end(), equalPressure), records.end());
const auto lessTimePoint = [](const auto& lhs, const auto& lhs){
return lhs.time_point< rhs.time_point;
};
std::sort(records.begin(), records.end(), lessTimePoint );
否则,您必须从代码中将pressure
向量所做的更改报告给其他数据:
所以改变:
for (k = j; k < (len - 1); k++)
pressure[k] = pressure[k + 1];
到
for (k = j; k < (len - 1); k++) {
pressure[k] = pressure[k + 1];
data[k] = data[k + 1];
time[k] = time[k + 1];
}
甚至
pressure.erase(pressure.begin() + j);
data.erase(data.begin() + j);
time.erase(time.begin() + j);