Again, numerous changes.

Mostly figure polishing and fixing.
Crucial fix to "short" invariance analysis.

python/collect_inv_data_field.py

@@ -0,0 +1,45 @@
+import numpy as np
+from thunderhopper.filetools import search_files
+from thunderhopper.modeltools import load_data, save_data
+from IPython import embed
+
+# GENERAL SETTINGS:
+target_species = ['Pseudochorthippus_parallelus']
+mode = ['song', 'noise'][1]
+stages = ['raw', 'filt', 'env', 'log', 'inv', 'conv', 'feat']
+search_path = f'../data/inv/field/{mode}/'
+save_path = f'../data/inv/field/{mode}/collected/'
+
+# EXECUTION:
+for i, species in enumerate(target_species):
+    print(f'Processing {species}')
+
+    # Fetch all species-specific song files:
+    all_paths = search_files(species, ext='npz', dir=search_path)
+    if not all_paths:
+        continue
+
+    # Run through files:
+    for j, path in enumerate(all_paths):
+
+        # Load invariance data:
+        data, config = load_data(path, 'distances', 'measure')
+
+        if j == 0:
+            # Prepare species-specific storage:
+            species_data = dict(scales=data['distances'])
+            for stage in stages:
+                mkey = f'measure_{stage}'
+                shape = data[mkey].shape + (len(all_paths),)
+                species_data[mkey] = np.zeros(shape, dtype=float)
+
+        # Log species data:
+        for stage in stages:
+            mkey = f'measure_{stage}'
+            species_data[mkey][..., j] = data[mkey]
+
+    # Save collected file data:
+    save_name = save_path + species
+    save_data(save_name, species_data, config, overwrite=True)
+
+print('Done.')