New comments

reader/get_sections.py

@@ -6,7 +6,7 @@ Created on Tue Apr 30 09:38:17 2019
 Splits string reports in sections using a data model layout.
 
 Input and output are simple pandas dataframes, with the output dataframe
-column names being section names
+column names being the section names
 
 To work with a pandas TextParser, loop through this module.
 
@@ -29,6 +29,9 @@ use, also support to chunking would make converting to series a bit dirty...
         provided the section is in a sequential parsing_order group
 
 @author: iregon
+
+Have to documents the threads approach!!!!
+
 """
 
 import pandas as pd

reader/import_data.py

@@ -6,7 +6,7 @@ Created on Fri Jan 10 13:17:43 2020
 FUNCTION TO PREPARE SOURCE DATA TO WHAT GET_SECTIONS() EXPECTS:
     AN ITERABLE WITH DATAFRAMES
 
-INPUT IS EITHER NOW ONLY A FILE PATH
+INPUT IS NOW ONLY A FILE PATH. COULD OPTIONALLY GET OTHER TYPE OBJECTS...
 
 OUTPUT IS AN ITERABLE, DEPENDING ON CHUNKSIZE BEING SET:
     - a single dataframe in a list
@@ -38,7 +38,6 @@ OPTIONS IN OLD DEVELOPMENT:
 
 import pandas as pd
 import os
-import io
 
 from .. import properties
 

reader/read_sections.py

@@ -13,7 +13,7 @@ where appropriate and ensure its data type consistency.
 
 Output is a dataframe with columns as follows depending on the data model
 structure:
-    1) Data model with sections (1 or more): [(section0,element0),.......(sectionN,elementN)]
+    1) Data model with sections (1 or more): [(section0,element0),.......(sectionN,elementM)]
     2) Data model with no sections[element0...element1]