# HG changeset patch
# User luca_milaz
# Date 1722686551 0
# Node ID 1c87924547651dfaf8e1399e21635b7330740fca
# Parent  8e66f173ad60a101095107f638e5b39483b9cc88
Uploaded

diff -r 8e66f173ad60 -r 1c8792454765 marea_2/flux_simulation.py
--- a/marea_2/flux_simulation.py	Sat Aug 03 11:52:27 2024 +0000
+++ b/marea_2/flux_simulation.py	Sat Aug 03 12:02:31 2024 +0000
@@ -230,7 +230,7 @@
     df_median= pd.DataFrame()
     df_quantiles= pd.DataFrame()
 
-    df_samples = pd.read_csv(ARGS.output_folder  +  model_name + '.csv', sep = '\t')
+    df_samples = pd.read_csv(ARGS.output_folder  +  model_name + '.csv', sep = '\t', index_col = 0).T
     df_samples = df_samples.round(8)
 
     for output_type in output_types:
@@ -343,17 +343,17 @@
     if("mean" in ARGS.output_types):
         all_mean = all_mean.fillna(0.0)
         all_mean = all_mean.sort_index()
-        write_to_file(all_mean, "mean", False)
+        write_to_file(all_mean.T, "mean", False)
 
     if("median" in ARGS.output_types):
         all_median = all_median.fillna(0.0)
         all_median = all_median.sort_index()
-        write_to_file(all_median, "median", False)
+        write_to_file(all_median.T, "median", False)
     
     if("quantiles" in ARGS.output_types):
         all_quantiles = all_quantiles.fillna(0.0)
         all_quantiles = all_quantiles.sort_index()
-        write_to_file(all_quantiles, "quantiles", False)
+        write_to_file(all_quantiles.T, "quantiles", False)
 
     index_result = 3
     if("pFBA" in ARGS.output_type_analysis):