[STATIC] std::vector<
TCounter>
countVector(
TItem a_min,
TItem a_max,
size_t a_size)
Class: fcf::NTest::HistogramBasic
Package: fcfTest
File:
test.hpp
Available from version: 1.2.5
Creates a new vector of counts by redistributing values into a specified range or size.
The countVector method is a powerful tool for data re-binning and resampling.
It allows you to take the existing distribution of data and project it into a new structure, such as a different number of bins or a different numerical range. This is extremely useful for:
- Resampling: Changing the resolution of your histogram.
- Normalization: Mapping data from one range to another.
- Visualization: Preparing data for different chart types with varying bin requirements.
Result
std::vector<TCounter>
- A new vector containing the redistributed counts.
Example: Resampling Data
Redistributing data from a 10-bin histogram into a 5-bin histogram.
#define FCF_TEST_IMPLEMENTATION
#include <fcfTest/test.hpp>
#include <iostream>
FCF_TEST_DEFINE("HistogramDemo", "Basic", "ResamplingTest") {
// Create a histogram with 10 bins in range [0, 100]
fcf::NTest::HistogramBasic<int> hist(10, 0, 100);
hist.append(10, 1);
hist.append(25, 1);
hist.append(50, 1);
hist.append(75, 1);
hist.append(90, 1);
// 1. Resample the data into 5 bins instead of 10
std::vector<size_t> newCounts = hist.countVector(5);
fcf::NTest::log() << "New bin count size: " << newCounts.size() << std::endl;
FCF_TEST(newCounts.size() == 5);
FCF_TEST(newCounts[0] + newCounts[1] + newCounts[2] + newCounts[3] + newCounts[4] == 5);
}
int main(int a_argc, char* a_argv[]) {
bool error = false;
fcf::NTest::cmdRun(a_argc, a_argv, fcf::NTest::CRM_RUN, &error);
return error ? 1 : 0;
}
Output:
Performing the test: "HistogramDemo" -> "Basic" -> "ResamplingTest" ...
> New bin count size: 5
[SUCCESS] Test completed successfully (0.000`016`024 sec)
[SUCCESS] All tests were completed.
Tests: 1 passed, 0 failed, 0 skipped, 1 total
Duration: 0.000`016`024 sec
The countVector method is the standard way to obtain a raw data vector for custom processing or external visualization.
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