C++ (Cpp) dataset::write Examples

Programming Language: C++ (Cpp)

Class/Type: dataset

Method/Function: write

Examples at hotexamples.com: 2

The cpp DataSet is a powerful package library for working with datasets and data analysis in C++. It provides a range of tools for managing, manipulating, and analyzing large sets of data. Some examples of its functionality include the ability to import and export data in a variety of formats, perform statistical analysis on data, and create visualizations of your data.

One example of using the cpp DataSet package library is to load data from a CSV file and perform some basic statistical analysis. Here's an example code snippet:

#include 
#include 

int main() {
    // Load data from CSV file
    auto data = DataSet::Csv::Reader::read("example.csv");

    // Calculate mean and standard deviation of a column
    auto column = data.column("Age");
    auto mean = DataSet::Statistics::mean(column);
    auto stdev = DataSet::Statistics::standard_deviation(column);

    // Output results
    std::cout << "Mean: " << mean << std::endl;
    std::cout << "Standard deviation: " << stdev << std::endl;
}

In this example, we first load data from a CSV file using the `DataSet::Csv::Reader` class. We then extract a column of data using the `column` function and calculate its mean and standard deviation using the `DataSet::Statistics::mean` and `DataSet::Statistics::standard_deviation` functions, respectively.

Another example of using the cpp DataSet package library is to create a scatter plot of two columns of data. Here's an example code snippet:

#include 
#include 

int main() {
    // Load data from CSV file
    auto data = DataSet::Csv::Reader::read("example.csv");

    // Create scatter plot
    auto plot = DataSet::Plot::scatter(data.column("Age"), data.column("Income"));

    // Show plot
    plot.show();
}

In this example, we again load data from a CSV file using the `DataSet::Csv::Reader` class. We then create a scatter plot using the `DataSet::Plot::scatter` function, passing in two columns of data. Finally, we display the plot using the `show` function. Overall, the cpp DataSet package library is a powerful tool for working with datasets and performing data analysis in C++, providing a range of useful functionality for managing, manipulating, and analyzing large sets of data.

C++ (Cpp) dataset::write - 2 examples found. These are the top rated real world C++ (Cpp) examples of dataset::write extracted from open source projects. You can rate examples to help us improve the quality of examples.

Frequently Used Methods

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size(6)

end(4)

begin(4)

get_sample_num(3)

write(2)

ins_num(2)

fea_num(2)

read(2)

timedelta(1)

sub_set(1)

resize(1)

push_back(1)

observations_at(1)

at(1)

native_handle(1)

id(1)

get_matrix(1)

get_fea(1)

current_timestep(1)

control(1)

clone(1)

clear(1)

get_tgv(1)

Example #1

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File: boost_multi_array.hpp Project: KaiSzuttor/h5xx

inline typename boost::enable_if<is_multi_array<T>, void>::type
write_dataset(dataset& dset, T const& value)
{
    typedef typename T::element value_type;
    hid_t type_id = ctype<value_type>::hid();
    dset.write(type_id, value.origin());
}

Example #2

Show file

File: boost_multi_array.hpp Project: KaiSzuttor/h5xx

inline typename boost::enable_if<is_multi_array<T>, void>::type
write_dataset(dataset& dset, T const& value, dataspace const& memspace, dataspace const& filespace)
{
    typedef typename T::element value_type;
    hid_t type_id = ctype<value_type>::hid();
    hid_t mem_space_id = memspace.hid(); //H5S_ALL;
    hid_t file_space_id = filespace.hid();
    hid_t xfer_plist_id = H5P_DEFAULT;
    dset.write(type_id, value.origin(), mem_space_id, file_space_id, xfer_plist_id);
}