diff --git a/JFSphoto.py b/JFSphoto.py
index 889458e..94b6184 100644
--- a/JFSphoto.py
+++ b/JFSphoto.py
@@ -309,6 +309,9 @@ class Jfsphoto (object):
         t = arange(0.0, 3.0, 0.01)
         s = sin(2*pi*t)
         self.ax1.plot(t, s, linewidth=0.6)
+
+        self.calculate()
+
         self.canvas = FigureCanvasTkAgg(self.fig, master = self.ctr_mid)
         self.canvas._tkcanvas.pack(side = tk.TOP, fill = tk.BOTH, expand = 1)   
 
@@ -322,47 +325,104 @@ class Jfsphoto (object):
             tk.Radiobutton(master=self.ctr_right,text=txt,variable=self.ok,command=self.look,value=val,padx=5,pady=5).grid(row=n,column=0,sticky="w")
             n=n+1
 
-        self.kbtn = tk.Button(master=self.ctr_right,text="Load Kini",padx=5,pady=5,command=self.kini)
+        self.kbtn = tk.Button(master=self.ctr_right,text="Load Kini",command=self.kini)
         self.kbtn.grid(row=7,column=0,sticky="w")
+
+        self.listbox = tk.Listbox(master=self.ctr_right,selectmode = "multiple")
+        self.listbox.grid(row=8,column=0,sticky='w')
+        self.scrollbar = tk.Scrollbar(master=self.ctr_right) 
+        self.listbox.config(yscrollcommand =self.scrollbar.set) 
+        self.scrollbar.config(command = self.listbox.yview) 
+        self.kbtn1 = tk.Button(master=self.ctr_right,text="show",command=self.kini)
+        self.kbtn1.grid(row=14,column=0,sticky="w")
+
+
+
         win.focus_set()
         win.grab_set()
         win.wait_window()
 
+    def calculate(self):
+        self.get_kin_list()
+        self.do_get_range()
+        for xx in self.col_list:
+            self.do_absorption(xx)
+
+    def get_kin_list(self):
+        self.col_list = list(self.df.columns.values.tolist())
+        self.col_list.remove('baseline')
+        self.col_list.remove('darkline')
+        self.col_list.remove('nmscale')
+
     def kini(self):
         self.load_kinetics("kini.dat")
+        self.calculate()      
         self.ax1.clear()
-        self.df.plot(x = 'nmscale',y = 'darkline', color='red',linewidth=0.6,ax=self.ax1)
-        self.df.plot(x = 'nmscale',y = 'baseline', color='blue',linewidth=0.6,ax=self.ax1)
-        self.df.plot(x = 'nmscale',y = '2', color='green',linewidth=0.6,ax=self.ax1)
+        for xx in self.col_list:
+            self.df.plot(x = 'nmscale',y = xx, linewidth=0.6,ax=self.ax1)
+            self.listbox.insert(tk.END, xx)
         self.canvas.draw()
-        print(self.df.head())
+
+    def do_get_range(self):
+        self.right = 0
+        self.left = 0
+        b = self.df['baseline']
+        for i in range(0,3694):
+            if b[i]==0:
+                if (self.left > 0 and self.right==0):
+                    self.right=i
+            else:
+                if (self.left==0):
+                    self.left=i
+
+    def do_absorption(self,xx):
+        y = self.df['darkline'] - self.df[xx]
+        b = self.df['baseline']
+        c = np.zeros(3694, np.float32)
+        for i in range(0,3694):
+            if b[i]==0:
+                c[i] = 1
+            else:
+                c[i] = y[i]/b[i]
+        self.df[xx+'_abs'] = c
 
     def look(self):
+        # self.get_kin_list()
+        # self.do_get_range()
+        # for xx in self.col_list:
+        #     self.do_absorption(xx)
         self.ax1.clear()
         if self.ok.get()==1:
-            self.df.plot(x = 'nmscale',y = 'p1', color='red',linewidth=0.6,ax=self.ax1)
+            for xx in self.col_list:
+                self.df.plot(x = 'nmscale',y = xx, linewidth=0.6,ax=self.ax1)
+            #self.df.plot(x = 'nmscale',y = 'p1', color='red',linewidth=0.6,ax=self.ax1)
+
         elif self.ok.get()==2:
-            self.df.plot(x = 'nmscale',y = 'p1', color='red',linewidth=0.6,ax=self.ax1)
+            for xx in self.col_list:
+                self.df.plot(x = 'nmscale',y = xx, linewidth=0.6,ax=self.ax1)
+            #self.df.plot(x = 'nmscale',y = 'p1', color='red',linewidth=0.6,ax=self.ax1)
             self.df.plot(x = 'nmscale',y = 'baseline', color='blue',linewidth=0.6,ax=self.ax1)
             self.df.plot(x = 'nmscale',y = 'darkline', color='black',linewidth=0.6,ax=self.ax1)
         elif self.ok.get()==3:
-            right = 0
-            left = 0
-            y = self.df['darkline'] - self.df['p1']
-            b = self.df['baseline']
-            c = np.zeros(3694, np.float32)
-            for i in range(0,3694):
-                if b[i]==0:
-                    c[i] = 1
-                    if (left > 0 and right==0):
-                        right=i
-                else:
-                    if (left==0):
-                        left=i
-                    c[i] = y[i]/b[i]
-            self.df['Absorption'] = c
-            self.df.plot(x = 'nmscale',y = 'Absorption', color='red',linewidth=0.6,ax=self.ax1)
-            self.ax1.set_xlim([self.nm_left+left*self.nm_step, self.nm_left+right*self.nm_step])
+            # right = 0
+            # left = 0
+            # y = self.df['darkline'] - self.df['p1']
+            # b = self.df['baseline']
+            # c = np.zeros(3694, np.float32)
+            # for i in range(0,3694):
+            #     if b[i]==0:
+            #         c[i] = 1
+            #         if (left > 0 and right==0):
+            #             right=i
+            #     else:
+            #         if (left==0):
+            #             left=i
+            #         c[i] = y[i]/b[i]
+            #self.df['Absorption'] = c
+            for xx in self.col_list:
+                self.df.plot(x = 'nmscale',y = xx+'_abs', linewidth=0.6,ax=self.ax1)
+            #self.df.plot(x = 'nmscale',y = 'Absorption', color='red',linewidth=0.6,ax=self.ax1)
+            self.ax1.set_xlim([self.nm_left+self.left*self.nm_step, self.nm_left+self.right*self.nm_step])
         elif self.ok.get()==4:
             right = 0
             left = 0