Measurement.fromnpy(): accept sensitivity as scalar or 0-dim numpy.ndarray

python_src/lasp/__init__.py

@@ -10,11 +10,11 @@ from .lasp_cpp import *
 
 # from .lasp_imptube import *  # TwoMicImpedanceTube
 from .lasp_measurement import *  # Measurement, scaleBlockSens
-from .lasp_octavefilter import *
+from .lasp_octavefilter import *  # OverallFilterBank, SosOctaveFilterBank, SosThirdOctaveFilterBank
 from .lasp_slm import *  # SLM, Dummy
 from .lasp_record import *  # RecordStatus, Recording
-from .lasp_daqconfigs import *
-from .lasp_measurementset import *
+from .lasp_daqconfigs import *  # DaqConfigurations
+from .lasp_measurementset import *  # MeasurementSet
 
 # from .lasp_siggen import *  # SignalType, NoiseType, SiggenMessage, SiggenData, Siggen
 # from .lasp_weighcal import *  # WeighCal

python_src/lasp/lasp_measurement.py

@@ -77,9 +77,9 @@ class MeasurementType(Enum):
     Measurement flags related to the measurement. Stored as bit flags in the measurement file. This is for possible changes in the API later.
     """
 
-    # Not specific measurement type    
+    # Not specific measurement type
     NotSpecific = 0
-    
+
     # Measurement serves as an insertion loss reference measurement
     ILReference = 1 << 0
 
@@ -1156,11 +1156,8 @@ class Measurement:
         if data.ndim != 2:
             data = data[:, np.newaxis]
 
-        try:
-            len(sensitivity)
-        except:
-            raise ValueError("Sensitivity should be given as array-like data type")
-        sensitivity = np.asarray(sensitivity)
+        if not (isinstance(sensitivity, np.ndarray) and sensitivity.ndim >= 1):
+            sensitivity = np.asarray(sensitivity)[np.newaxis]
 
         nchannels = data.shape[1]
         if nchannels != sensitivity.shape[0]: