Getting raw GC-MS data (abundance matrix) from .D folders into python

Question

I'm in a startup working with a research institution and they have given me .D folders, which is the 'raw data' from an Agilent GC-MS machines. 
 
 I want to run Deep learning models on the raw data. First, I will take the 2D vector and create a 3D plot (RT, M/Z, intensity). Then, I will use image classification techniques to try to classify the sample. 
 
 I have a few questions: 
 
 Do .D folders contain the raw GC-MS data (RT, M/Z), also known as an abundance matrix? 
 If so, which sub-folder is it? 
 I want the raw 2D vector of data.

How do I import these files into python? 
 Could you direct me to any resources or explain how to extract the data from the .D file and bring it into python? 
 I want to run Deep Learning models on

howard_sanford · Answer

Hello mattlasko , 
 If these files are from MSD ChemStation or MassHunter Acquisition, you could try using the resources mentioned in this post for exporting the data to open formats such as mzdata or mzML for further processing. See the following discussion for options and details. 
 (+) How to extract raw data from GCMS Masshunter - Forum - Mass Spectrometry Software - Agilent Community