docstr: Splits each Series in the DataFrame into many Series.
  Number of chunks outputted depends on size of each column
  and self.max_chunk_size.
  
  Returns:
      chunks: List of pd.Series.
docstr_tok: ["Splits","each","Series","in","the","DataFrame","into","many","Series",".","Number","of","chunks","outputted","depends","on","size","of","each","column","and","self.max_chunk_size",".","Returns",":","chunks",":","List","of","pd.Series","."]
code: def split_chunks(self):
      """
      Splits each Series in the DataFrame into many Series.
      Number of chunks outputted depends on size of each column
      and self.max_chunk_size.
  
      Returns:
          chunks: List of pd.Series.
      """
      chunks = []
      for col_idx, col_name in enumerate(self.df.columns):
          column = self.df[col_name].copy()
          while len(column) > 0:
              chunk = column.iloc[: self.max_chunk_size]
              chunks.append(chunk)
              column = column.iloc[self.max_chunk_size :]
      return chunks
  
imports: import re
  import time
  import pkg_resources
  from PyQt5 import QtCore, QtGui, QtWidgets
  from PyQt5.QtCore import Qt
label_desc: Use image node_id 2 for calling the FindThread obj's underlying member method code with example usage: obj.split_chunks() and returns: chunks