Drop b_values columns from the simplified file.

Author: AhmedBasem20

utilities/reduce_output_size.py

@@ -3,16 +3,12 @@
 df = pd.read_csv('test_output.csv')
 
 # Columns to be rounded to four decimal places
-columns_to_round = [
-    'f', 'Dp', 'D', 'f_fitted', 'Dp_fitted', 'D_fitted',
-    'bval_0.0', 'bval_1.0', 'bval_2.0', 'bval_5.0', 'bval_10.0', 'bval_20.0',
-    'bval_30.0', 'bval_50.0', 'bval_75.0', 'bval_100.0', 'bval_150.0', 'bval_250.0',
-    'bval_350.0', 'bval_400.0', 'bval_550.0', 'bval_700.0', 'bval_850.0', 'bval_1000.0'
-]
+columns_to_round = ['f', 'Dp', 'D', 'f_fitted', 'Dp_fitted', 'D_fitted']
 for column in columns_to_round:
     df[column] = df[column].round(4)
 
-#df = df.loc[:, ~df.columns.str.startswith('bval')] 
+#drop b_values columns.
+df = df.loc[:, ~df.columns.str.startswith('bval')] 
 
 #compress and save the file.
 df.to_csv('test_output.csv.gz', compression='gzip', index=False)