fix the code

app.py

@@ -16,6 +16,72 @@ chart = data_frames["chart"]
 medication = data_frames["medication"]
 note = data_frames["note"]
 
+df["ADMITTIME"]=pd.to_datetime(df["ADMITTIME"], format= '%Y-%m-%d %H:%M:%S')
+df["ADMITTIME"]=df["ADMITTIME"].dt.strftime('%Y-%m-%d')
+df["DISCHTIME"]=pd.to_datetime(df["DISCHTIME"], format= '%Y-%m-%d %H:%M:%S')
+df["DISCHTIME"]=df["DISCHTIME"].dt.strftime('%Y-%m-%d')
+df["DOB"]=pd.to_datetime(df["DOB"], format= '%Y-%m-%d %H:%M:%S')
+df["DOB"]=df["DOB"].dt.strftime('%Y-%m-%d')
+
+df["ADMITTIME"] = pd.to_datetime(df["ADMITTIME"], format = '%Y-%m-%d')
+df["DISCHTIME"] = pd.to_datetime(df["DISCHTIME"], format = '%Y-%m-%d')
+df["DOB"] = pd.to_datetime(df["DOB"], format = '%Y-%m-%d')
+
+
+def cal_los(row):
+    admit = pd.to_datetime(row["ADMITTIME"])
+    disch = pd.to_datetime(row["DISCHTIME"])
+    los = (disch - admit).days
+    return los 
+
+df["LOS"] = df.apply(cal_los, axis=1)
+
+chart["DATETIME"]=pd.to_datetime(chart["DATETIME"], format= '%Y-%m-%d %H:%M:%S')
+chart["DATETIME"]=chart["DATETIME"].dt.strftime('%Y-%m-%d')
+chart["DATETIME"] = pd.to_datetime(chart["DATETIME"], format = '%Y-%m-%d')
+chart1 = chart.sort_values(by=["SUBJECT_ID", "DATETIME"])
+
+medication["STARTDATE"]=pd.to_datetime(medication["STARTDATE"], format= '%Y-%m-%d %H:%M:%S')
+medication["STARTDATE"]=medication["STARTDATE"].dt.strftime('%Y-%m-%d')
+
+medication["ENDDATE"]=pd.to_datetime(medication["ENDDATE"], format= '%Y-%m-%d %H:%M:%S')
+medication["ENDDATE"]=medication["ENDDATE"].dt.strftime('%Y-%m-%d')
+
+
+medication["STARTDATE"] = pd.to_datetime(medication["STARTDATE"], format = '%Y-%m-%d')
+medication["ENDDATE"] = pd.to_datetime(medication["ENDDATE"], format = '%Y-%m-%d')
+
+
+def cal_duration(row):
+    admit = pd.to_datetime(row["STARTDATE"])
+    disch = pd.to_datetime(row["ENDDATE"])
+    dur = (disch - admit).days
+    return dur 
+    
+medication["duration"]  = medication.apply(cal_duration, axis = 1)
+
+note["DATETIME"]=pd.to_datetime(note["DATETIME"], format= '%Y-%m-%d %H:%M:%S')
+note["DATETIME"]=note["DATETIME"].dt.strftime('%Y-%m-%d')
+note["DATETIME"] = pd.to_datetime(note["DATETIME"], format = '%Y-%m-%d')
+
+
+df1_df = df.loc[df["HADM_ID"]==2222]
+df1_diagnoses = diagnoses.loc[diagnoses["HADM_ID"]==2222]
+df1_procedure = procedure.loc[procedure["HADM_ID"]==2222]
+df1_chart = chart.loc[chart["HADM_ID"]==2222]
+df1_medication = medication.loc[medication["HADM_ID"]==2222]
+df1_note = note.loc[note["HADM_ID"]==2222]
+
+df2_df = df.loc[df["HADM_ID"]==8888]
+df2_diagnoses = diagnoses.loc[diagnoses["HADM_ID"]==8888]
+df2_procedure = procedure.loc[procedure["HADM_ID"]==8888]
+df2_chart = chart.loc[chart["HADM_ID"]==8888]
+df2_medication = medication.loc[medication["HADM_ID"]==8888]
+df2_note = note.loc[note["HADM_ID"]==8888]
+
+
+
+
 
 sequential_file = pd.read_csv("./sequential.csv")