=================================================================================

         ◆ Pickling is the process of serialising an object into a disk file or buffer.
         ◆ Any object can be pickled and unpickled through the dump(), load() mechanisms of the Python's pickle module.
         ◆ The pandas DataFrame class provides the method to_pickle() to easily deal with the process of pickling.
         ◆ Unpickling recreates an object from a file, network or a buffer and introduces it to the namespace of a program.
         ◆ Unpickling is enabled through the read_pickle() method of the pandas module.

============================================

Pickle a pandas DataFrame object. code:          
              
Output:             
         

============================================

Pickle a pandas DataFrame object. code:          
              
Output:             
         

============================================

Unpickle a pandas DataFrame object. code:          
              
Output:             
         

============================================

(AAA) Store images in pandas dataframe column and then pickle DataFrame data. code:          
              
Output:             
         
         

============================================

Unpickle a pandas DataFrame object. code:          
              
Output:             
         

============================================

Store images in pandas dataframe column and then pickle DataFrame data. code:          
              
Input:             
          for image "4274Loc.png"
         
         
Output:             
         
         

========================

Unpickle a pandas DataFrame object to save as images. code:          
              
Input:             
         The pkl file generated above, namely "CombinedImage.pkl".                    
Output (only one image has been output with the script above):             
         
         

============================================

Unpickle a pandas DataFrame object to save as images. code:          
              
Input:             
                             
Output:             
         
         
         
         
Note: The three images above was pickled from the three images below by a script (code) in page4208.