snapshot...

modules/contrail/util.py

@@ -53,13 +53,6 @@ def extract(mask_image, image_ts, clavrx_path):
 
     contrail_idxs = (mask_image == 1).flatten()
 
-    # Assuming GOES FD for now -------------------
-    # elems, lines = np.meshgrid(np.arange(5424), np.arange(5424))
-    # lines, elems = lines.flatten(), elems.flatten()
-    # See note above regarding support for GOES-18
-    # contrail_lines, contrail_elems = lines[contrail_idxs], elems[contrail_idxs]
-    # contrail_lons, contrail_lats = geos_nav.lc_to_earth(contrail_elems, contrail_lines)
-
     contrail_press = cloud_top_press[contrail_idxs]
     contrail_lons, contrail_lats = clvrx_lons[contrail_idxs], clvrx_lats[contrail_idxs]
 
@@ -140,6 +133,7 @@ def extract(mask_image, image_ts, clavrx_path):
     # Create pandas DataFrame for each list of tuples in voxel_dict
     voxel_dict_df = {}
     for k, v in voxel_dict.items():
+        print(k, len(v))
         df = pd.DataFrame(v, columns=["pressure", "lat", "lon", "horz_wind_shear", "static_stability", "horz_wind_speed", "vert_wind_shear"])
         voxel_dict_df[k] = df
 
@@ -151,6 +145,10 @@ def extract(mask_image, image_ts, clavrx_path):
     return all_df
 
 
+def analyze(dataFrame):
+    pass
+
+