Load and save csv file implemented

CCDpanelsetup.py

@@ -238,6 +238,13 @@ class buildpanel(tk.Frame):
                       self.jfsbase_check.config(state=tk.NORMAL)
                       self.jfsbase_transmission.config(state=tk.NORMAL)
                       self.jfsbase_absorption.config(state=tk.NORMAL)
+        def loaddata():
+              self.jf.load_pandas()
+              self.updateplot(CCDplot)
+              self.jfsdark_check.config(state=tk.NORMAL)
+              self.jfsbase_check.config(state=tk.NORMAL)
+              self.jfsbase_transmission.config(state=tk.NORMAL)
+              self.jfsbase_absorption.config(state=tk.NORMAL)
 
         self.jfstitel = tk.Label(self, text=' Photometer ')
         #self.jfstitel.config(font=("Courier",0))
@@ -260,6 +267,8 @@ class buildpanel(tk.Frame):
         self.jfsbase_transmission.grid(row=18,column=4)
         self.jfspdsave = tk.Button(self,text='save Data',fg="blue", command=self.jf.save_pandas)
         self.jfspdsave.grid(row=19,column=4)
+        self.jfspdload = tk.Button(self,text='load Data',fg="blue", command=loaddata)
+        self.jfspdload.grid(row=20,column=4)
 
   ### Callbacks for traces, buttons, etc ###
   def callback(self):
@@ -348,19 +357,21 @@ class buildpanel(tk.Frame):
           config.pltData16[i] =  (config.pltData16[i] / config.pltBaseData16[i])
       if (self.jf.abs_trans.get()==1):
         config.pltData16 = np.log10(config.pltData16)*-1
-      
-      up = np.max(config.pltData16) 
-      if (self.jf.get_nm_checked()==1):
-        CCDplot.a.plot(self.jf.get_nm_scale(),config.pltData16)
-        CCDplot.a.axis([self.jf.nm_left,self.jf.nm_right,0,up])
-        CCDplot.a.set_xlim([self.jf.nm_left+self.jf.baseline_start*self.jf.nm_step, self.jf.nm_left+self.jf.baseline_end*self.jf.nm_step])
-        CCDplot.a.set_xlabel(" [nm] ")
-      else:
-        CCDplot.a.plot(config.pltData16)  
-        CCDplot.a.axis([0,3694,-10,up])  
-        CCDplot.a.set_xlim([self.jf.baseline_start, self.jf.baseline_end])
-        CCDplot.a.set_xlabel("Pixelnumber")
-        CCDplot.a.set_ylabel("Intensity")
+      try:
+        up = np.max(config.pltData16) 
+        if (self.jf.get_nm_checked()==1):
+          CCDplot.a.plot(self.jf.get_nm_scale(),config.pltData16)
+          CCDplot.a.axis([self.jf.nm_left,self.jf.nm_right,0,up])
+          CCDplot.a.set_xlim([self.jf.nm_left+self.jf.baseline_start*self.jf.nm_step, self.jf.nm_left+self.jf.baseline_end*self.jf.nm_step])
+          CCDplot.a.set_xlabel(" [nm] ")
+        else:
+          CCDplot.a.plot(config.pltData16)  
+          CCDplot.a.axis([0,3694,-10,up])  
+          CCDplot.a.set_xlim([self.jf.baseline_start, self.jf.baseline_end])
+          CCDplot.a.set_xlabel("Pixelnumber")
+          CCDplot.a.set_ylabel("Intensity")
+      except ValueError:
+        messagebox.showerror("By the great otter!","Is there's a problem with the light.\n or disable baseline checkbox")
     else:        
     #This subtracts the ADC-pixel from ADC-dark
       if (config.datainvert==1): 

JFSphoto.py

@@ -7,6 +7,7 @@ import csv
 import numpy as np
 from configparser import ConfigParser
 import pandas as pd
+import config
 ####################################### object
 
 class Jfsphoto (object):
@@ -106,7 +107,7 @@ class Jfsphoto (object):
             return 0
         else :    
             self.darkData16 = dark*1.0
-            self.df['darkline']=self.darkData16
+            return 1
 
     def get_darkline_checked(self):
         return self.darkline_checked.get()
@@ -136,7 +137,6 @@ class Jfsphoto (object):
                         left = False
                     self.baseData16[i] = base[i]*1.0
             print(self.baseline_start,"  ",self.baseline_end)
-            self.df['baseline']=self.baseData16
             return 1
         
     def get_baseline_checked(self):
@@ -176,20 +176,36 @@ class Jfsphoto (object):
     def set_nm_scale(self):
         if (self.nm_scale_ok):
             self.nmData16 = np.linspace(self.nm_left,self.nm_right,3694)
-            self.df['nmscale']=self.nmData16
+            
 
     def get_nm_scale(self):
          self.set_nm_scale()
          return self.nmData16
 
-    def add_pandas(self,data):
-        self.df[str(self.pandas_count)] = data
-        ##self.pandas_count += 1
-
-
 
     def save_pandas(self):
-        print(self.df.head())
+        filename = filedialog.asksaveasfilename(defaultextension=".csv", title="Save file as")
+        try: 
+           self.df['baseline']=self.baseData16
+           self.df['darkline']=self.darkData16
+           self.df['nmscale']=self.nmData16
+           self.df['p1']=config.rxData16
+           self.df.to_csv(filename)
+        except IOError:
+            messagebox.showerror("By the great otter!","There's a problem saving the file.")
+
+    def load_pandas(self):
+        filename = filedialog.askopenfilename(defaultextension=".csv", title="Open file ")
+        try: 
+           self.df = pd.read_csv(filename,index_col=0)
+           config.rxData16=self.df['p1']
+           self.do_save_baseline(self.df['baseline'])
+           self.do_save_darkline(self.df['darkline'])
+           self.baseline_checked.set(1)
+           self.darkline_checked.set(1)
+           self.nm_checked.set(1)
+        except IOError:
+            messagebox.showerror("By the great otter!","There's a problem saving the file.")
 
     def openfile(self,xx):
         rxData16 = np.zeros(3694, np.uint16)
@@ -213,6 +229,7 @@ class Jfsphoto (object):
                 self.nm2i = np.argmin(rxData16)
                 self.tnm2i.set(str(self.nm2i))
             self.checkit()
+            ## for testing
             self.add_pandas(rxData16) 
         except IOError:
             messagebox.showerror("By the great otter!","There's a problem opening the file.")