DtypeOverride

class pandas::DtypeOverride

pandas C++ class.

Example

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

// Use DtypeOverride
DtypeOverride obj;
// ... operations ...

I/O

Signature	Return Type	Location	Example
std::string to_string() const	std::string	pd_dtype_override.h:51	View

Other Methods

Signature	Return Type	Location	Example
static DtypeOverride parse(std::string_view label)	static DtypeOverride	pd_dtype_override.h:50	View

Code Examples

The following examples are extracted from the test suite.

to_string (pd_test_1_all.cpp:2693)

        pandas::PeriodArray arr_m(std::vector<std::string>{
            "2020-01",
            "NaT",
            "2025-06"
        }, "M");

        // Year
        auto years = arr_m.year();
        auto y0 = years[0];
        if (!y0.has_value() || y0.value() != 2020) {
            std::cout << "  [FAIL] : year[0] should be 2020, got " << (y0.has_value() ? std::to_string(y0.value()) : "NA") << std::endl;
            throw std::runtime_error("pd_test_period_array_year_month_quarter failed: year[0]");
        }

        auto y1 = years[1];
        if (y1.has_value()) {
            std::cout << "  [FAIL] : year[1] should be NA (NaT)" << std::endl;
            throw std::runtime_error("pd_test_period_array_year_month_quarter failed: year[1] should be NA");
        }

        auto y2 = years[2];

parse (pd_test_2_all.cpp:4314)

                throw std::runtime_error("ExcelFile basic: expected sheet 'Data', got '" + names[0] + "'");
            }

            xlsx.close();
            std::remove("temp/test_excelfile.xlsx");

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

        void pd_test_excel_file_parse() {
            std::cout << "========= ExcelFile.parse() ========================";

            try {
                // Create test file
                std::map<std::string, std::vector<int>> data = {{"X", {10, 20, 30}}, {"Y", {40, 50, 60}}};
                pandas::DataFrame df(data);
                df.to_excel("temp/test_parse.xlsx", "Sheet1");

                pandas::ExcelFile xlsx("temp/test_parse.xlsx");

                // Check sheet names