Scrollbar for tkinter not working for a ttk notebook

Question

I had follow the instruction from the youtube and all other website, but the scrollbar still not function as expected...the scrollbar does not appear as expected.. Can I know what is wrong with my code?

tabManager = ttk.Notebook(window)

#Tab1
tab1 = ttk.Frame(tabManager)
tab1.pack(fill=BOTH, expand=1,)

canvasTab1 = tkinter.Canvas(tab1,width=1920, height=1080)
canvasTab1.pack(fill=BOTH, expand=1)

vbar = Scrollbar(tab1,orient=VERTICAL,command=canvasTab1.yview)
vbar.pack(side=RIGHT, fill=Y)

canvasTab1.configure(yscrollcommand=vbar.set)
canvasTab1.bind('<Configure>', lambda e: canvasTab1.configure(scrollregion=canvasTab1.bbox("all")))

theRealTab1 = Frame(canvasTab1,width=1920,height=1080)
canvasTab1.create_window((0,0),window=theRealTab1,anchor=NW)
#-----------------------------------------------------------------------------------------------#
tab2 = ttk.Frame(tabManager)
tab3 = ttk.Frame(tabManager)

the full code is here: **I use pandastable not the treeview one **Basically this is a sentiment analysis apps, I plan to separate into 3 tabs...But I stucked in this scrollbar problem..

from ast import Lambda
from tkinter import *
from tkinter import ttk
from tkinter import filedialog
from pandastable import Table
from textblob import TextBlob
from PIL import Image, ImageTk
import tkinter
import pandas as pd
import nltk

#some basic things/imports
window = Tk() #The main window
nltk.download("stopwords")
stopwords = nltk.corpus.stopwords.words("english")
wn = nltk.WordNetLemmatizer() #wn = wordnet
nltk.download('omw-1.4')

#region window size & position
window.title("Sentiment Analysis Tool")
window.geometry("1000x600")

w=800
h=400

ws = window.winfo_screenwidth()
hs = window.winfo_screenheight()

x = (ws/2) - (w/2)
y = (hs/2) - (h/2)

window.geometry("%dx%d+%d+%d" % (w,h,x,y))
#endregion

#region TAB
tabManager = ttk.Notebook(window)

#Tab1
tab1 = ttk.Frame(tabManager)
tab1.pack(fill=BOTH, expand=1,)

canvasTab1 = tkinter.Canvas(tab1,width=1920, height=1080)
canvasTab1.pack(fill=BOTH, expand=1)

vbar = Scrollbar(tab1,orient=VERTICAL,command=canvasTab1.yview)
vbar.pack(side=RIGHT, fill=Y)

canvasTab1.configure(yscrollcommand=vbar.set)
canvasTab1.bind('<Configure>', lambda e: canvasTab1.configure(scrollregion=canvasTab1.bbox("all")))

theRealTab1 = Frame(canvasTab1,width=1920,height=1080)
canvasTab1.create_window((0,0),window=theRealTab1,anchor=NW)
#-----------------------------------------------------------------------------------------------#
#Tab2
tab2 = ttk.Frame(tabManager)
tab3 = ttk.Frame(tabManager)

#Parent adding child widgets
tabManager.add(tab1, text="Data Preprocessing")
tabManager.add(tab2, text="Results")
tabManager.add(tab3, text="Details")
tabManager.grid(sticky="ew")
#endregion

#region title & labels
titleLabeltab1 = Label(theRealTab1, text="Natural Language Data Preprocessing: ",padx=5)
titleLabeltab1.grid(column=0,row=1)
titleLabeltab2 = Label(tab2, text="Results: ",padx=5)
titleLabeltab2.grid(column=0,row=1)
titleLabeltab3 = Label(tab3, text="Details: ",padx=5)
titleLabeltab3.grid(column=0,row=1)

tb1Label = Label(theRealTab1, text="Choose a file for data pre-processing: ")
tb1Label.grid(column=0,row=2,padx=0,pady=0)

TokenizedLabel = Label(theRealTab1, text="Tokenized Results: ")
SWLabel = Label(theRealTab1, text="Stop Words Removed Results:")
LemmaLabel = Label(theRealTab1, text="Lemmatization Results:")

imageData = ImageTk.PhotoImage(Image.open("C://Users//USER//OneDrive//sem5//FYP - 1//PPT_FYP1//server.png").resize((50,50)))
tb1LabelImage = tkinter.Label(theRealTab1,image = imageData)
tb1LabelImage.image = imageData
tb1LabelImage.grid(row = 1,column = 1, columnspan = 7, sticky = E)
theRealTab1.grid_rowconfigure(1)
#endregion

def openExcel():
    global dfOri
    filePath = filedialog.askopenfilename()
    dfOri = pd.read_csv(filePath)
    TableB4Anything = Table(datasetsOriFrame, dataframe=dfOri, width=300)
    TableB4Anything.show()
    
def TriggerLemma():
    global LemmaColumn
    LemmaColumn = SWcolumn[['text']]
    LemmaColumn['text'] = LemmaColumn['text'].map(lambda x: lemmatization(x))
    tableAfterLemma = Table(datasetsResults3, dataframe=LemmaColumn, width=300, editable=True)
    LemmaLabel.grid(column=7,row=6)
    tableAfterLemma.show()
    
def lemmatization(stopWordsOnly):
    LemmaColumn = [wn.lemmatize(word) for word in stopWordsOnly]
    return LemmaColumn
    
def TriggerStopWords():
    global SWcolumn
    SWcolumn = theColumn[['text']]
    SWcolumn['text'] = SWcolumn['text'].map(lambda x: stopWordsRemoval(x))
    tableAfterSW = Table(datasetsResults2, dataframe=SWcolumn,width=300, editable=True)
    SWLabel.grid(column=4,row=6)
    tableAfterSW.show()
    
def stopWordsRemoval(tokenizedTextOnly):
    SWcolumn = [word for word in tokenizedTextOnly if word not in stopwords]
    return SWcolumn

def TriggerTokenization():
    global theColumn
    theColumn = dfOri[['text']]
    theColumn['text'] = theColumn['text'].map(lambda x: Tokenization(str(x)))
    tableAfterToken = Table(datasetsResults, dataframe=theColumn, width=300, editable=True)
    TokenizedLabel.grid(column=0,row=6)
    tableAfterToken.show()

def Tokenization(text):
    Tweets = TextBlob(text)
    TokenizedTweets = Tweets.words
    return TokenizedTweets

#region All Buttons
buttonDir = Button(theRealTab1, wraplength = 70,text="Choose a csv or excel datasets",command=openExcel)#import datasets
buttonDir.grid(column=1,row=2)
buttonTokens = Button(theRealTab1, text="Tokenization", width=9, command=TriggerTokenization)#token
buttonTokens.grid(column=1,row=3,pady=5)
buttonSW = Button(theRealTab1, text="Stop Words Removal", width=18, command=TriggerStopWords)#stopwords
buttonSW.grid(column=4,row=3,pady=5)
buttonLemma = Button(theRealTab1, text="Lemmatization", width=12, command=TriggerLemma)#lemma
buttonLemma.grid(column=7,row=3,pady=5)
buttonFE = Button(theRealTab1, text="Features Extraction", width=12)#Feature Extraction
buttonFE.grid(column=0,row=8,pady=5)
#endregion

#region All Frames
#datasets preview frame
datasetsOriFrame = Frame(theRealTab1)
datasetsOriFrame.grid(column=0,row=5,columnspan=8,padx=1,pady=5,sticky="ew")
theRealTab1.grid_columnconfigure(0)

#datasets results frame
datasetsResults = Frame(theRealTab1)
datasetsResults.grid(column=0,columnspan=2,row=7,padx=1,pady=5)

#datasets stop words frames
datasetsResults2 = Frame(theRealTab1)
datasetsResults2.grid(column=4,row=7,padx=1,pady=5)

#datasets lemmatization frames
datasetsResults3 = Frame(theRealTab1)
datasetsResults3.grid(column=7,row=7,padx=1,pady=5)
#endregion

window.mainloop()