start mit pandas save / load

CCDpanelsetup.py

@@ -258,6 +258,8 @@ class buildpanel(tk.Frame):
         self.jfsbase_absorption.grid(row=17,column=4)
         self.jfsbase_transmission = tk.Radiobutton(self,text="Transmision",variable=self.jf.abs_trans,value=1,state=tk.DISABLED,command=lambda CCDplot=CCDplot: self.updateplot(CCDplot))
         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)
 
   ### Callbacks for traces, buttons, etc ###
   def callback(self):

JFSphoto.py

@@ -6,6 +6,7 @@ import tkinter as tk
 import csv
 import numpy as np
 from configparser import ConfigParser
+import pandas as pd
 ####################################### object
 
 class Jfsphoto (object):
@@ -29,7 +30,7 @@ class Jfsphoto (object):
         self.darkData16 = np.zeros(3694, np.float32)
         self.darkline_checked = tk.IntVar()
         self.darkline_checked.set(0)
-        ########## baseline of the lightsource
+        ########## baseline of the lightsource transmission or absorption
         self.baseData16 = np.zeros(3694, np.float32)
         self.baseline_checked = tk.IntVar()
         self.baseline_checked.set(0)
@@ -38,6 +39,9 @@ class Jfsphoto (object):
         self.abs_trans= tk.IntVar()
         ########## set to transition
         self.abs_trans.set(1)
+        ########## dataframe to load and save photometer data
+        self.pandas_count = 0
+        self.df = pd.DataFrame()
 
     def do_calibrate(self):
         win = tk.Toplevel()
@@ -102,7 +106,7 @@ class Jfsphoto (object):
             return 0
         else :    
             self.darkData16 = dark*1.0
-            return 1
+            self.df['darkline']=self.darkData16
 
     def get_darkline_checked(self):
         return self.darkline_checked.get()
@@ -132,6 +136,7 @@ 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):
@@ -171,11 +176,21 @@ 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())
+
     def openfile(self,xx):
         rxData16 = np.zeros(3694, np.uint16)
         filename = filedialog.askopenfilename(defaultextension=".dat", title="Open file")
@@ -198,7 +213,7 @@ class Jfsphoto (object):
                 self.nm2i = np.argmin(rxData16)
                 self.tnm2i.set(str(self.nm2i))
             self.checkit()
-        
+            self.add_pandas(rxData16)
         except IOError:
             messagebox.showerror("By the great otter!","There's a problem opening the file.")