CellStyle

class pandas::CellStyle

Styling class for DataFrame rendering.

Example

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

// Use CellStyle
CellStyle obj;
// ... operations ...

Combining

Signature	Return Type	Location	Example
void merge(const CellStyle& other)	void	pd_styler.h:75	View

I/O

Signature	Return Type	Location	Example
std::string to_css() const	std::string	pd_styler.h:65

Other Methods

Signature	Return Type	Location	Example
bool empty() const { return properties.empty()	bool	pd_styler.h:81	View
void set(const std::string& prop, const std::string& value)	void	pd_styler.h:61	View

Code Examples

The following examples are extracted from the test suite.

merge (pd_test_1_all.cpp:13639)

namespace dataframe_tests {
    namespace dataframe_tests_joining {

        // Helper to check approximate equality
        bool approx_equal(double a, double b, double tol = 1e-9) {
            if (std::isnan(a) && std::isnan(b)) return true;
            return std::abs(a - b) < tol;
        }

        // =====================================================================
        // merge() Tests
        // =====================================================================

        void pd_test_joining_merge_inner() {
            std::cout << "========= merge inner join ============================";

            // Left DataFrame: id, value_left
            std::map<std::string, std::vector<double>> left_data = {
                {"id", {1.0, 2.0, 3.0, 4.0}},
                {"value_left", {10.0, 20.0, 30.0, 40.0}}
            };

empty (pd_test_1_all.cpp:941)

#include "../pandas/pd_config.h"

namespace dataframe_tests {

namespace dataframe_tests_config {

    void pd_test_config_version() {
        std::cout << "========= df_config: version info ======================= ";
        const char* version = pandas::DataFrameInfo::version();
        if (version == nullptr || std::string(version).empty()) {
            std::cout << "[FAIL] : in pd_test_config_version() : version is null or empty" << std::endl;
            throw std::runtime_error("pd_test_config_version failed: version is null or empty");
        }
        std::cout << "-> tests passed" << std::endl;
    }

    void pd_test_config_na_repr() {
        std::cout << "========= df_config: NA representation ======================= ";
        const char* na_repr = pandas::DataFrameConfig::get_na_repr();
        if (na_repr == nullptr) {

set (pd_test_1_all.cpp:16281)

            pandas::Attrs attrs;

            // Test empty
            bool passed = attrs.empty() && attrs.size() == 0;
            if (!passed) {
                std::cout << "  [FAIL] : in pd_test_ndframe_attrs() : empty attrs" << std::endl;
                throw std::runtime_error("pd_test_ndframe_attrs failed: empty attrs");
            }

            // Test set/get string
            attrs.set("author", std::string("John Doe"));
            passed = attrs.contains("author") && attrs.get<std::string>("author") == "John Doe";
            if (!passed) {
                std::cout << "  [FAIL] : in pd_test_ndframe_attrs() : set/get string" << std::endl;
                throw std::runtime_error("pd_test_ndframe_attrs failed: set/get string");
            }

            // Test set/get double
            attrs.set("version", 1.5);
            passed = std::abs(attrs.get<double>("version") - 1.5) < 1e-10;
            if (!passed) {