Start with 3D Printing

JFSphoto.py

@@ -16,6 +16,10 @@ from matplotlib.figure import Figure
 from numpy import arange, sin, pi,cos
 import fnmatch
 import time
+from matplotlib import cm
+from matplotlib.ticker import LinearLocator, FormatStrFormatter
+from mpl_toolkits.mplot3d import Axes3D
+
 ####################################### object
 
 class Jfsphoto (object):
@@ -309,8 +313,15 @@ class Jfsphoto (object):
     
     def do_math(self):
         stati = [("Raw",1),("Raw + Baseline",2),("Transmission",4),("Absorbanz",3)]
-        
-        win = tk.Toplevel()
+        def toggle():
+            if self.kbtn.config('relief')[-1] == 'sunken':
+                self.kbtn.config(relief='raised')
+                self.do_2dprint()
+            else:
+                self.kbtn.config(relief='sunken') 
+                self.do_3dprint()
+                
+        win = tk.Toplevel()        
         self.center = tk.Frame(win, bg='gray2', width=800, height=400, padx=3, pady=3)
         self.center.grid_rowconfigure(0, weight=1)
         self.center.grid_columnconfigure(1, weight=1)
@@ -340,7 +351,9 @@ class Jfsphoto (object):
         self.kbtn.grid(row=15,column=0,sticky="w")
         self.kbtn = tk.Button(master=self.ctr_right,text="Save Kinetic / Data",command=self.save_kinetics,width=15)
         self.kbtn.grid(row=16,column=0,sticky="w")
-        
+        self.kbtn = tk.Button(master=self.ctr_right,text="3 D Print",command=toggle,width=15,relief='raised')
+        self.kbtn.grid(row=17,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) 
@@ -358,6 +371,16 @@ class Jfsphoto (object):
         win.grab_set()
         win.wait_window()
 
+    def do_2dprint(self):
+        self.ax1 = self.fig.add_subplot(111)
+        self.look()
+
+    def do_3dprint(self):
+        self.ax1 = self.fig.gca(projection='3d')
+        for xx in self.col_list:
+            self.df.plot(x = 'nmscale',y = xx, zs= int(xx), linewidth=0.6,ax=self.ax1)
+        self.canvas.draw()
+
     def show_selected(self):
         self.col_list = [self.listbox.get(i) for i in self.listbox.curselection()]
         self.look()