Better output of SLM for plotting as a line

lasp/lasp_slm.py

@@ -8,6 +8,7 @@ from .wrappers import Slm as pyxSlm
 import numpy as np
 from .lasp_common import (TimeWeighting, FreqWeighting, P_REF)
 from .filter import SPLFilterDesigner
+import logging
 
 __all__ = ['SLM', 'Dummy']
 
@@ -168,15 +169,33 @@ class SLM:
 
     def return_as_dict(self, dat):
         """
-        Helper function used to 
+        Helper function used to return resulting data in a proper way.
+
+        Returns a dictionary with the following keys:
+            'data': The y-values of Lmax, Lpeak, etc
+            'overall': The overall value, in [dB] **COULD BE NOT PART OF
+            OUTPUT**
+            'x': The exponents of the octave, such that the midband frequency
+            corresponds to 1000*G**(x/b), where b is the bands, either 1, 3, or
+            6
+            'mid': The center frequencies of each band, as a numpy float array
+            'nom': The nominal frequency array text, as textual output corresponding
+            to the frequencies in x, they are '16', .. up to '16k'
+
         """
         output = {}
-        for i, x in enumerate(self.xs):
+        output['nom'] = self.nom_txt
-            # '31.5' to '16k'
+        output['x'] = list(self.xs)
-            output[self.nom_txt[i]] = { 'data': dat[i],
+        output['mid'] = self.fbdesigner.fm(list(self.xs))
-                                       'x': x}
+        logging.debug(list(self.xs))
+        logging.debug(output['mid'])
+        # Indiced at 0, as pyxSLM always returns 2D arrays.
+
         if self.include_overall and self.fbdesigner is not None:
-            output['overall'] = {'data': dat[i+1], 'x': 0}
+            output['overall'] = dat[-1]
+            output['y'] = np.asarray(dat[:-1,0])
+        else:
+            output['y'] = np.asarray(dat[:,0])
         return output
 
     def Leq(self):