Update dataset_utils.py

dataset_utils.py

@@ -135,7 +135,7 @@ def concat_data(data,task,feat_cond,feat_proc,feat_out,feat_chart,feat_meds,feat
             for p,v in zip(feat,proc_val):
                 procs[p]=v
             procs.columns=pd.MultiIndex.from_product([["PROC"], procs.columns])
-            proc_df = pd.concat([features,procs],ignore_index=True,axis=1).fillna(0)
+            proc_df = pd.concat([features,procs],axis=1).fillna(0)
         else:
             procedures=pd.DataFrame(procDic,columns=['PROC'])
             features=pd.DataFrame(np.zeros([1,len(procedures)]),columns=procedures['PROC'])
@@ -157,7 +157,7 @@ def concat_data(data,task,feat_cond,feat_proc,feat_out,feat_chart,feat_meds,feat
             for o,v in zip(feat,out_val):
                 outs[o]=v
             outs.columns=pd.MultiIndex.from_product([["OUT"], outs.columns])
-            out_df = pd.concat([features,outs],ignore_index=True,axis=1).fillna(0)
+            out_df = pd.concat([features,outs],,axis=1).fillna(0)
         else:
             outputs=pd.DataFrame(outDic,columns=['OUT'])
             features=pd.DataFrame(np.zeros([1,len(outputs)]),columns=outputs['OUT'])
@@ -170,7 +170,6 @@ def concat_data(data,task,feat_cond,feat_proc,feat_out,feat_chart,feat_meds,feat
             chartDic = pickle.load(fp)
     
         if chart:
-            print('ok')
             charts=chart['val']
             feat=charts.keys()
             chart_val=[charts[key] for key in feat]
@@ -188,7 +187,6 @@ def concat_data(data,task,feat_cond,feat_proc,feat_out,feat_chart,feat_meds,feat
             features=pd.DataFrame(np.zeros([1,len(charts)]),columns=charts['CHART'])
             features.columns=pd.MultiIndex.from_product([["CHART"], features.columns])
             chart_df=features.fillna(0)
-        print(chart_df)
         ##########LAB#########
     if (feat_lab):
         with open("./data/dict/"+task+"/labsVocab", 'rb') as fp:
@@ -206,7 +204,7 @@ def concat_data(data,task,feat_cond,feat_proc,feat_out,feat_chart,feat_meds,feat
             for c,v in zip(feat,chart_val):
                 chart[c]=v
             chart.columns=pd.MultiIndex.from_product([["LAB"], chart.columns])
-            chart_df = pd.concat([features,chart],ignore_index=True,axis=1).fillna(0)
+            chart_df = pd.concat([features,chart],axis=1).fillna(0)
         else:
             charts=pd.DataFrame(chartDic,columns=['LAB'])
             features=pd.DataFrame(np.zeros([1,len(charts)]),columns=charts['LAB'])
@@ -229,7 +227,7 @@ def concat_data(data,task,feat_cond,feat_proc,feat_out,feat_chart,feat_meds,feat
             for m,v in zip(feat,med_val):
                 med[m]=v
             med.columns=pd.MultiIndex.from_product([["MEDS"], med.columns])
-            meds_df = pd.concat([features,med],ignore_index=True,axis=1).fillna(0)
+            meds_df = pd.concat([features,med],axis=1).fillna(0)
         else:
             meds=pd.DataFrame(medDic,columns=['MEDS'])
             features=pd.DataFrame(np.zeros([1,len(meds)]),columns=meds['MEDS'])