all logics sucess

main.py

@@ -75,6 +75,15 @@ def coldata():
                 print("Selected value :", optionVar.get())
                 print("selected column values:", specficcol)
 
+
+            def create_excel():
+                firstval = int(E1.get())
+                secondval = int(E2.get())
+                optionval = optionVar.get()
+                df_tech_select_columns = newData.loc[(newData[optionval] >= firstval) & (newData[optionval] <= secondval )]
+                print(df_tech_select_columns)
+                df_tech_select_columns.to_excel("./test.xlsx")
+
             l1 = Label(window,  text='Select Column:', width=15 )
             l1.place(x=45,y=25)
             optionVar = StringVar(root)
@@ -83,6 +92,7 @@ def coldata():
             option.place(x=130,y=25)
             l2 = Label(window,  text='advanced filter :', width=15 )
             l2.place(x=24,y=100)
+            selnum= StringVar(root)
             E1 = Entry(window,width=10)
             E1.place(x = 120,y = 100)
             l3 = Label(window,  text='from', width=15 )
@@ -94,7 +104,7 @@ def coldata():
             btnShow = Button(window, text="Column values", command=coldata)
             btnShow.place(x=130,y=50)
 
-            btnShow2 = Button(window, text="Submit")
+            btnShow2 = Button(window, text="Submit",command=create_excel)
             btnShow2.place(x=130,y=150)
 
             window.mainloop()

note.txt

@@ -5,4 +5,7 @@ install ruqerimentts command
 Rules
 1.)sheetname should be Sheet1 (default name)
 2.)you should also see once your excel sheet whether it has any  numiercal values  there or not these code only supports for numerical/integer values 
-3.)
+3.)
+
+reference websites
+https://pythoninoffice.com/filter-a-pandas-dataframe-or-and-not/

testing.py

@@ -36,8 +36,6 @@ def create_excel():
 def create_excel():
     firstval = int(E1.get())
     secondval = int(E2.get())
-
-
     df_tech_select_columns = df.loc[(df['Sales'] >= firstval) & (df['Sales'] <= secondval )]
     print(df_tech_select_columns)
     df_tech_select_columns.to_excel("./test.xlsx")