Programming Language: C++ (Cpp)

Class/Type: TH1D

Method/Function: Scale

Examples at hotexamples.com: 30

The TH1D Scale is a method used in ROOT framework's histogram library, which is a C++ package for creating and manipulating histograms or data visualizations.

The Scale method is used to scale the histogram by a given factor or weight, using the following syntax:

where `histogram_name` is the name of the histogram object and `scale_factor` is the factor to scale the histogram by.

For example, if we want to scale a histogram `h1` by a factor of 0.5, we can use the following code:

In this example, we create a histogram `h1` with 100 bins ranging from 0 to 10, fill it with 10000 random numbers generated from a Gaussian distribution, and then scale it by a factor of 0.5.

Another example of using the Scale method is if we want to normalize a histogram such that the total histogram area is equal to 1. In this case, we can use the following code:

The Scale method is used to scale the histogram by a given factor or weight, using the following syntax:

histogram_name.Scale(scale_factor);

where `histogram_name` is the name of the histogram object and `scale_factor` is the factor to scale the histogram by.

For example, if we want to scale a histogram `h1` by a factor of 0.5, we can use the following code:

TH1D *h1 = new TH1D("h1", "Example Histogram", 100, 0, 10); // create histogram h1->FillRandom("gaus", 10000); // fill with random data h1->Scale(0.5); // scale histogram by 0.5

In this example, we create a histogram `h1` with 100 bins ranging from 0 to 10, fill it with 10000 random numbers generated from a Gaussian distribution, and then scale it by a factor of 0.5.

Another example of using the Scale method is if we want to normalize a histogram such that the total histogram area is equal to 1. In this case, we can use the following code:

TH1D *h2 = new TH1D("h2", "Normalized Histogram", 100, 0, 10); // create histogram h2->FillRandom("gaus", 10000); // fill with random data h2->Scale(1/h2->Integral()); // normalize histogram area to 1In this example, we create a histogram `h2` with 100 bins ranging from 0 to 10, fill it with 10000 random numbers generated from a Gaussian distribution, and then normalize it such that the total area of the histogram is equal to 1. Overall, the TH1D Scale method is a useful tool for scaling and normalizing histograms in ROOT framework's histogram library.

Frequently Used Methods

Frequently Used Methods

Frequently Used Methods

Frequently Used Methods