include tablify demo in example

examples/example-002-transformer-demo.py

@@ -1,19 +1,24 @@
 from pathlib import Path
 from exfor_parserpy import read_exfor, write_exfor
-from exfor_parserpy.trafos import unitfy, uncommonfy, depointerfy, detextify
+from exfor_parserpy.trafos import unitfy, uncommonfy, depointerfy, detextify, tablify
 import json
 
 TEST_DATA = Path(__file__).resolve().parents[1] / "tests" / "testdata"
 
 exfor_entry = read_exfor(TEST_DATA / "entry_21308.txt")
 
+# convert the entry to a table
+exfor_table = tablify(exfor_entry)
+print(exfor_table)
+
 # apply all transformations: unitfy, uncommonfy, depointerfy
 trafo_entry = unitfy(exfor_entry)
 trafo_entry = uncommonfy(trafo_entry)
 trafo_entry = depointerfy(trafo_entry)
 write_exfor("entry_21308_transformed1.txt", trafo_entry, overwrite=True)
 
-# change the order and see if we get identical results
+# change the order in which the transformer are applied
+# and check if we get identical results
 trafo_entry = depointerfy(exfor_entry)
 trafo_entry = unitfy(trafo_entry)
 trafo_entry = uncommonfy(trafo_entry)
@@ -29,6 +34,10 @@
 trafo_entry = unitfy(exfor_entry)
 write_exfor("entry_23245_unitfy.txt", trafo_entry, overwrite=True)
 
+# here we chain transformers before calling
+# tablify to create a pandas DataFrame
+exfor_table = tablify(unitfy(depointerfy(uncommonfy(exfor_entry))))
+print(exfor_table)
 
 # example with detextify transformer
 exfor_entry = read_exfor(TEST_DATA / "entry_T0408.txt")