Python - Spyder isn't displaying the entire Pandas DataFrame (whereas VSC is displaying it corr-CodePudding

I've been trying to make a minesweeper board on Spyder, but I've encountered a problem with my pandas data frame. The values in the grid are colored (using colorama).
the program:
import numpy 
import pandas
from colorama import Fore

def color(col, mot):
    if col=="red":
        mot =  Fore.RED   str(mot)   Fore.RESET
    if col=="white":
        mot =  Fore.WHITE   str(mot)   Fore.RESET
    if col =="blue":
        mot = Fore.BLUE   str(mot)   Fore.RESET
    if col == "green":
        mot = Fore.GREEN   str(mot)   Fore.RESET
    return mot

grid = [['\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m'], ['\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m'], ['\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m'], ['\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m'], ['\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m'], ['\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m'], ['\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m'], ['\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m'], ['\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m'], ['\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m', '\x1b[37m.\x1b[39m']]

x = numpy.array(grid)
row_labels = ['L1', 'L2', 'L3', 'L4','L5','L6','L7','L8','L9','L10']
column_labels = [color("white",'C1'), color("white",'C2'), color("white",'C3'), color("white",'C4'),color("white",'C5'),color("white",'C6'),color("white",'C7'),color("white",'C8'),color("white",'C9'),color("white",'C10')]

df = pandas.DataFrame(x,columns=column_labels, index=row_labels)

print("-------------"   color("red", "Demineur")   "-------------")
print()
print(df)
print()
print("----------------------------------")
Using visual studio code :