Update dataset_utils.py
Browse files- dataset_utils.py +0 -3
dataset_utils.py
CHANGED
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@@ -160,7 +160,6 @@ def concat_data(data,task,feat_cond,feat_proc,feat_out,feat_chart,feat_meds,feat
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##########CHART#########
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if (feat_chart):
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print(chartDict!=None)
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if chart:
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charts=chart['val']
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feat=charts.keys()
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@@ -168,13 +167,11 @@ def concat_data(data,task,feat_cond,feat_proc,feat_out,feat_chart,feat_meds,feat
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charts=pd.DataFrame(chartDict,columns=['CHART'])
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features=pd.DataFrame(np.zeros([1,len(charts)]),columns=charts['CHART'])
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features.columns=pd.MultiIndex.from_product([["CHART"], features.columns])
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print('TETE: ',charts)
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chart=pd.DataFrame(columns=feat)
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for c,v in zip(feat,chart_val):
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chart[c]=v
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chart.columns=pd.MultiIndex.from_product([["CHART"], chart.columns])
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chart_df = pd.concat([features,chart],ignore_index=True).fillna(0)
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print('dyn :', chart_df)
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else:
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charts=pd.DataFrame(chartDict,columns=['CHART'])
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##########CHART#########
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if (feat_chart):
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if chart:
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charts=chart['val']
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feat=charts.keys()
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charts=pd.DataFrame(chartDict,columns=['CHART'])
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features=pd.DataFrame(np.zeros([1,len(charts)]),columns=charts['CHART'])
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features.columns=pd.MultiIndex.from_product([["CHART"], features.columns])
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chart=pd.DataFrame(columns=feat)
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for c,v in zip(feat,chart_val):
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chart[c]=v
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chart.columns=pd.MultiIndex.from_product([["CHART"], chart.columns])
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chart_df = pd.concat([features,chart],ignore_index=True).fillna(0)
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else:
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charts=pd.DataFrame(chartDict,columns=['CHART'])
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