# HG changeset patch
# User luca_milaz
# Date 1722685947 0
# Node ID 8e66f173ad60a101095107f638e5b39483b9cc88
# Parent  c27fe0032287f13fcb27cf32d608d2d2d98ae658
Uploaded

diff -r c27fe0032287 -r 8e66f173ad60 marea_2/flux_simulation.py
--- a/marea_2/flux_simulation.py	Sat Aug 03 11:43:47 2024 +0000
+++ b/marea_2/flux_simulation.py	Sat Aug 03 11:52:27 2024 +0000
@@ -108,7 +108,7 @@
 
 
 def write_to_file(dataset: pd.DataFrame, name: str, keep_index:bool=False)->None:
-    dataset = dataset.T
+    dataset.index.name = 'Reactions'
     dataset.to_csv(ARGS.output_folder + name + ".csv", sep = '\t', index = keep_index)
 
 ############################ dataset input ####################################
@@ -149,7 +149,7 @@
         samples_batch = pd.read_csv(ARGS.output_folder  +  model_name + '_'+ str(i)+'_OPTGP.csv')
         samplesTotal = pd.concat([samplesTotal, samples_batch], ignore_index = True)
 
-    write_to_file(samplesTotal, model_name)
+    write_to_file(samplesTotal.T, model_name, True)
 
     for i in range(0, n_batches):
         os.remove(ARGS.output_folder +   model_name + '_'+ str(i)+'_OPTGP.csv')
@@ -180,7 +180,7 @@
         samples_batch = pd.read_csv(ARGS.output_folder  +  model_name + '_'+ str(i)+'_CBS.csv')
         samplesTotal = pd.concat([samplesTotal, samples_batch], ignore_index = True)
 
-    write_to_file(samplesTotal, model_name)
+    write_to_file(samplesTotal.T, model_name, True)
 
     for i in range(0, n_batches):
         os.remove(ARGS.output_folder +   model_name + '_'+ str(i)+'_CBS.csv')