Update load_1D.py

added the data type to dict, it is necessary for adding dat files into ccl dicts

pyzebra/load_1D.py

@@ -18,8 +18,10 @@ META_VARS_STR = (
     "proposal_user",
     "proposal_title",
     "proposal_email",
+    "detectorDistance",
 )
 META_VARS_FLOAT = (
+    "omega",
     "mf",
     "2-theta",
     "chi",
@@ -40,7 +42,6 @@ META_VARS_FLOAT = (
     "mcvl",
     "momu",
     "mcvu",
-    "detectorDistance",
     "snv",
     "snh",
     "snvm",
@@ -96,6 +97,7 @@ def parse_1D(fileobj, data_type):
 
     # read data
     if data_type == ".ccl":
+        metadata['data_type'] = data_type
         measurements = {}
         decimal = list()
         data = fileobj.readlines()
@@ -160,6 +162,7 @@ def parse_1D(fileobj, data_type):
 
     elif data_type == ".dat":
         # skip the first 2 rows, the third row contans the column names
+        metadata['data_type'] = data_type
         next(fileobj)
         next(fileobj)
         col_names = next(fileobj).split()