fixed naming for test spot overflow

sensospot_data/columns.py

@@ -70,7 +70,7 @@ SETTINGS_EXPOSURE_CHANNEL = "Exposure.Channel"
 SETTINGS_EXPOSURE_TIME = "Exposure.Time"
 
 # calculated value for dynamic range normalization
-CALC_SPOT_OVERFLOW = "Calc.Spot.Overflow"
+CALC_SPOT_OVERFLOW = "Calc.Spot.Is.Overflowing"
 
 # settings for normalized exposure time
 SETTINGS_NORMALIZED_EXPOSURE_TIME = "Settings.Normalized.Exposure.Time"

sensospot_data/dynamic_range.py

@@ -35,7 +35,7 @@ def _check_if_xdr_ready(data_frame):
 
 def _calc_overflow_info(data_frame, column=RAW_DATA_SPOT_MEAN, limit=0.5):
     """ add overflow info, based on column and limit """
-    data_frame[CALC_SPOT_OVERFLOW] = data_frame[column] > limit
+    data_frame.loc[:, CALC_SPOT_OVERFLOW] = data_frame[column] > limit
     return data_frame
 
 
@@ -61,6 +61,7 @@ def _reduce_overflow(data_frame):
 def blend(data_frame, column=RAW_DATA_SPOT_MEAN, limit=0.5):
     """ creates an extended dynamic range, eliminating overflowing spots """
     _check_if_xdr_ready(data_frame)
+    if CALC_SPOT_OVERFLOW not in data_frame.columns:
         data_frame = _calc_overflow_info(data_frame, column, limit)
     return _reduce_overflow(data_frame)
 

sensospot_data/parser.py

@@ -16,6 +16,7 @@ from .columns import (
     META_DATA_EXPOSURE_ID,
     META_DATA_WELL_COLUMN,
     RAW_DATA_COLUMNS_RENAME_MAP,
+    RAW_DATA_NORMALIZATION_MAP,
 )
 from .parameters import add_optional_measurement_parameters
 
@@ -124,6 +125,9 @@ def _sanity_check(data_frame):
     expected_rows = field_rows * field_cols * exposures * spot_positions
     if expected_rows != len(data_frame):
         raise ValueError("Measurements are missing")
+    # set the right data type for measurement columns
+    for raw_column in RAW_DATA_NORMALIZATION_MAP:
+        data_frame[raw_column] = pandas.to_numeric(data_frame[raw_column])   
     return data_frame