StyleSubset
===========

.. cpp:class:: pandas::StyleSubset

   Styling class for DataFrame rendering.

Example
-------

.. code-block:: cpp

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

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

Constructors
------------

.. list-table::
   :widths: 55 25 20
   :header-rows: 1

   * - 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
-------------

.. list-table::
   :widths: 40 20 15 25
   :header-rows: 1

   * - 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
     - :ref:`View <example-stylesubset-columns-0>`
   * - ``StyleSubset(const std::vector<size_t>& r) : rows(r)``
     - StyleSubset(const std::vector<size_t>& r) :
     - pd_styler.h:50
     - :ref:`View <example-stylesubset-rows-1>`


Code Examples
-------------

The following examples are extracted from the test suite.

.. _example-stylesubset-columns-0:

.. dropdown:: columns (pd_test_1_all.cpp:6220)
   :class-title: example-dropdown

   .. code-block:: cpp
      :linenos:
      :lineno-start: 6210
      :emphasize-lines: 11

                      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");
                  }

.. _example-stylesubset-rows-1:

.. dropdown:: rows (pd_test_1_all.cpp:6893)
   :class-title: example-dropdown

   .. code-block:: cpp
      :linenos:
      :lineno-start: 6883
      :emphasize-lines: 11

                  }
      
                  // 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;
              }
      
              // =====================================================================