DataFrameInfo
=============

.. cpp:class:: pandas::DataFrameInfo

   pandas C++ class.

Example
-------

.. code-block:: cpp

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

   // Use DataFrameInfo
   DataFrameInfo obj;
   // ... operations ...

Type Checking
-------------

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

   * - Signature
     - Return Type
     - Location
     - Example
   * - ``bool is_debug_build()``
     - bool
     - PD_CONFIG.H:11
     - 

Other Methods
-------------

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

   * - Signature
     - Return Type
     - Location
     - Example
   * - ``const char \* build_date()``
     - const char \*
     - PD_CONFIG.H:10
     - 
   * - ``const char \* version()``
     - const char \*
     - PD_CONFIG.H:9
     - :ref:`View <example-dataframeinfo-version-0>`


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

The following examples are extracted from the test suite.

.. _example-dataframeinfo-version-0:

.. dropdown:: version (pd_test_1_all.cpp:940)
   :class-title: example-dropdown

   .. code-block:: cpp
      :linenos:
      :lineno-start: 930
      :emphasize-lines: 11

      #include <stdexcept>
      
      #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();