StyleSubset

class pandas::StyleSubset

Styling class for DataFrame rendering.

Example

#include <pandas/pandas.h>
using namespace pandas;

// Use StyleSubset
StyleSubset obj;
// ... operations ...

Constructors

Signature	Location	Example
StyleSubset() = default	pd_styler.h:48
StyleSubset(const std::vector<std::string>& cols, const std::vector<size_t>& r)	pd_styler.h:51

Other Methods

Signature	Return Type	Location	Example
StyleSubset(const std::vector<std::string>& cols) : columns(cols)	StyleSubset(const std::vector<std::string>& cols) :	pd_styler.h:49	View
StyleSubset(const std::vector<size_t>& r) : rows(r)	StyleSubset(const std::vector<size_t>& r) :	pd_styler.h:50	View

Code Examples

The following examples are extracted from the test suite.

columns (pd_test_1_all.cpp:6220)

                throw std::runtime_error("pd_test_dataframe_properties failed: should be empty");
            }

            // Test nbytes > 0 for non-empty
            if (df.nbytes() == 0) {
                std::cout << "  [FAIL] : in pd_test_dataframe_properties() : nbytes should be > 0" << std::endl;
                throw std::runtime_error("pd_test_dataframe_properties failed: nbytes should be > 0");
            }

            // Test columns index
            if (df.columns().size() != 3) {
                std::cout << "  [FAIL] : in pd_test_dataframe_properties() : columns size != 3" << std::endl;
                throw std::runtime_error("pd_test_dataframe_properties failed: columns size != 3");
            }

            // Test dtypes
            auto dtypes = df.dtypes();
            if (dtypes.size() != 3) {
                std::cout << "  [FAIL] : in pd_test_dataframe_properties() : dtypes size != 3" << std::endl;
                throw std::runtime_error("pd_test_dataframe_properties failed: dtypes size != 3");
            }

rows (pd_test_1_all.cpp:6893)

            }

            // Test stack
            {
                std::map<std::string, std::vector<int>> data;
                data["A"] = {1, 2};
                data["B"] = {3, 4};
                pandas::DataFrame df(data);

                auto stacked = df.stack();
                // Stack should produce 4 rows (2 rows * 2 columns)
                if (stacked.nrows() != 4) {
                    std::cout << "  [FAIL] : in pd_test_dataframe_reshape() : stack nrows != 4, got " << stacked.nrows() << std::endl;
                    throw std::runtime_error("pd_test_dataframe_reshape failed: stack nrows");
                }
            }

            std::cout << " -> tests passed" << std::endl;
        }

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