PandasOptions ============= .. cpp:class:: numpy::PandasOptions numpy C++ class. Example ------- .. code-block:: cpp #include using namespace numpy; // Use PandasOptions PandasOptions obj; // ... operations ... Indexing / Selection -------------------- .. list-table:: :widths: 40 20 15 25 :header-rows: 1 * - Signature - Return Type - Location - Example * - ``T get(const std::string& key) const`` - T - df_top_level.h:182 - :ref:`View ` Other Methods ------------- .. list-table:: :widths: 40 20 15 25 :header-rows: 1 * - Signature - Return Type - Location - Example * - ``std::string describe(const std::string& pattern = "") const`` - std::string - df_top_level.h:219 - :ref:`View ` * - ``static PandasOptions& instance()`` - static PandasOptions& - df_top_level.h:176 - * - ``std::vector list_options() const`` - std::vector - df_top_level.h:260 - * - ``void reset(const std::string& key)`` - void - df_top_level.h:207 - :ref:`View ` * - ``void reset_all()`` - void - df_top_level.h:215 - :ref:`View ` * - ``void set(const std::string& key, const T& value)`` - void - df_top_level.h:195 - :ref:`View ` Code Examples ------------- The following examples are extracted from the test suite. .. _example-pandasoptions-get-0: .. dropdown:: get (np_test_1_all.cpp:28526) :class-title: example-dropdown .. code-block:: cpp :linenos: :lineno-start: 28516 :emphasize-lines: 11 std::cout << " -> tests passed" << std::endl; } void np_test_indexing_mask_indices() { std::cout << "========= mask_indices: triangular mask indices ======================="; // Get upper triangular indices for 3x3 matrix auto triu_idx = numpy::mask_indices(3, "triu", 0); // Should return tuple of 2 arrays bool passed = (std::get<0>(triu_idx).getSize() > 0); passed = passed && (std::get<1>(triu_idx).getSize() > 0); passed = passed && (std::get<0>(triu_idx).getSize() == std::get<1>(triu_idx).getSize()); // Get lower triangular indices auto tril_idx = numpy::mask_indices(3, "tril", 0); passed = passed && (std::get<0>(tril_idx).getSize() > 0); passed = passed && (std::get<1>(tril_idx).getSize() > 0); if (!passed) { std::cout << " [FAIL] : in np_test_indexing_mask_indices() : Mask indices incorrect"; .. _example-pandasoptions-describe-1: .. dropdown:: describe (np_test_1_all.cpp:11448) :class-title: example-dropdown .. code-block:: cpp :linenos: :lineno-start: 11438 :emphasize-lines: 11 auto moment2_result = moment(normal_data, 2); // std::cout << "2nd moment: " << moment2_result.getElementAt({ 0 }) << std::endl; if (!(moment2_result.getElementAt({ 0 }) > 0)) { std::string description = std::string("testDistributionShapeMeasures():") + __FILE__ + ":" + std::to_string(__LINE__) + ": !(moment2_result.getElementAt({ 0 }) > 0)"; std::cout << std::string("[FAIL] ") + description << std::endl; throw std::runtime_error(description); } // std::cout << "[OK] Moment calculation\n"; // Test describe auto desc_result = describe(normal_data); // std::cout << "Describe result:" << std::endl; // std::cout << " nobs: " << desc_result.nobs << std::endl; // std::cout << " min: " << desc_result.minmax.first << ", max: " << desc_result.minmax.second << std::endl; // std::cout << " mean: " << desc_result.mean << std::endl; // std::cout << " variance: " << desc_result.variance << std::endl; if (!(desc_result.nobs == 5)) { std::string description = std::string("testDistributionShapeMeasures():") + __FILE__ + ":" + std::to_string(__LINE__) + ": !(desc_result.nobs == 5)"; std::cout << std::string("[FAIL] ") + description << std::endl; throw std::runtime_error(description); } .. _example-pandasoptions-reset-2: .. dropdown:: reset (np_test_2_all.cpp:22610) :class-title: example-dropdown .. code-block:: cpp :linenos: :lineno-start: 22600 :emphasize-lines: 11 // Count iterations size_t outer_count = 0; size_t total_inner_count = 0; for (; !outer.is_finished(); ++outer) { size_t inner_count = 0; for (; !inner.is_finished(); ++inner) { inner_count++; total_inner_count++; } outer_count++; inner.reset(); } if (outer_count != 3 || total_inner_count != 12) { std::cout << " [FAIL] : Iteration counts incorrect"; throw std::runtime_error("np_test_nested_iters_basic failed"); } std::cout << " -> tests passed" << std::endl; } .. _example-pandasoptions-reset_all-3: .. dropdown:: reset_all (np_test_2_all.cpp:22742) :class-title: example-dropdown .. code-block:: cpp :linenos: :lineno-start: 22732 :emphasize-lines: 11 // Reset outer outer.reset(); if (outer.iteration() != 0 || outer.is_finished()) { std::cout << " [FAIL] : Outer reset failed"; throw std::runtime_error("np_test_nested_iters_reset failed"); } // Test reset_all on NestedIters object ++outer; ++inner; iters.reset_all(); if (outer.iteration() != 0 || inner.iteration() != 0) { std::cout << " [FAIL] : reset_all() failed"; throw std::runtime_error("np_test_nested_iters_reset failed"); } std::cout << " -> tests passed" << std::endl; } // ============================================================================ // VALUE ACCESS TESTS .. _example-pandasoptions-set-4: .. dropdown:: set (np_test_1_all.cpp:6747) :class-title: example-dropdown .. code-block:: cpp :linenos: :lineno-start: 6737 :emphasize-lines: 11 std::cout << "========= testArrayPrinting ======================="; // Test 1D array printing std::vector words = {"Hello", "World", "Test"}; auto arr_1d = array<16>(words); // std::cout << "1D CharArray:" << std::endl; // arr_1d.print(); // Test 2D array printing chararray16 arr_2d({2, 2}, "test"); arr_2d.set({0, 0}, "A"); arr_2d.set({0, 1}, "B"); arr_2d.set({1, 0}, "C"); arr_2d.set({1, 1}, "D"); // std::cout << "2D CharArray:" << std::endl; // arr_2d.print(); std::cout << " -> tests passed" << std::endl; }