Getting an error with Openpyxl with Kivy - kivy

Question

I'm trying to use some my python code I've written using IPython on Kivy, but I'm getting an error that says it cannot import name BUILTIN_FORMATS, which is called from the styleable.py within openpyxl.
BTW I used:
import openpyxl as xl
It works perfectly fine when I run the code within IPython.
Does anyone know how I can fix this.
EDIT: I've already tried reinstalling openpyxl with pip.
EDIT2: I'm on windows 7, and here's my code:
#!/usr/bin/kivy
import kivy
import random
import matplotlib.pyplot as plt
import pandas as pd
import pylab as pl
import requests
import openpyxl as xl
from operator import itemgetter
from collections import Counter
from lxml import html
#function to load the table form the excel file corresponding to the passed sheet name
def loadTable(sheetName):
lotteryData = pd.ExcelFile("Lottery databases.xlsx") #grabs and loads the file into memory
df = lotteryData.parse(sheetName) #loads the data table form the corresponding sheetName into the df data frame
return df
#function to display the table
def showTable(table):
#get the number of rows the table has
no_of_rows = len(table.index)
#display the table
return table.head(no_of_rows)
#function to display pie charts of a specific column within the database
#table is the database that the function will be working with
#and column is a numberical vaule of which column to get the data from
def printPieChart(table, column):
if column == 6:
columnList = table.iloc[:, -1:].values.T.ravel()
else:
columnList = table.iloc[:, (column - 7): (column - 6)].values.T.ravel()
countedList = Counter(columnList)
#set up the size of the pie chart
fig = plt.figure(figsize=[10, 10])
ax = fig.add_subplot(111)
cmap = plt.cm.prism
#input variables for pie function
slices = [float(v) for v in countedList.values()]
colors = cmap(np.linspace(0., 1., len(slices)))
labels = [float(k) for k in countedList]
columnHeaders = list(table.columns.values)
#the pie chart
pie_wedge_collection = ax.pie(slices, colors = colors, labels = labels, labeldistance = 1.05, autopct = '%1.1f%%')
#get rid of the black outlines between the wedges and around the pie
for pie_wedge in pie_wedge_collection[0]:
pie_wedge.set_edgecolor('white')
ax.set_title(columnHeaders[column + 1])
#can't display a Legends as there's too many for plt.legends() too handle
#return pyplot.pie([float(v) for v in countedList.values()], labels = [float(k) for k in countedList])
def updateDatabase():
wb = xl.load_workbook("Lottery databases.xlsx") #load the workbook into memory
#list of the sheet names within the workbook
sheetnames = ["SuperLotto", "MegaMillions", "Powerball"]
days = ["Tue. ", "Wed. ", "Fri. ", "Sat. "] #days the draws on done on
#list of the webpages to use grab the new draws
webPages = ['http://www.calottery.com/play/draw-games/superlotto-plus/winning-numbers', 'http://www.calottery.com/play/draw-games/mega-millions/winning-numbers', 'http://www.calottery.com/play/draw-games/powerball/winning-numbers']
x = 3
while x != 0:
ws = wb.get_sheet_by_name(sheetnames[x-1]) # which sheet to update
rowIndex = ws.get_highest_row() # gets the highest row index in the sheet
lastCellValue = ws.cell(row = rowIndex - 1, column = 0).value #gets the last value in the first column, draw number
page = requests.get(webPages[x-1]) #grabs the webpage needed
tree = html.fromstring(page.text) #puts the webpage into a tree structure to make it easy to traverse
#get the newest draw and date from the webpage for comparasion purposes
draw_and_date = tree.xpath('//*[#id="objBody_content_0_pagecontent_0_objPastWinningNumbers_rptPast_ctl01_lblDrawDateNumber"]/text()')
#if the table is up to date, it will move on to the next table else it will update it
y = int(draw_and_date[0][-4:]) - int(lastCellValue) # checks to see how many draws are missing from the table
if y == 0:
print("The table for " + sheetnames[x-1] + " is up to date.")
x -= 1 #decrement x by 1 to move on to the next table
else:
#while loop to check if the table needs to be updated or not, if yes it will update it
while y != 0:
#grabs the draw and date of the missing draws from the table
draw_and_date = tree.xpath('//*[#id="objBody_content_0_pagecontent_0_objPastWinningNumbers_rptPast_ctl0' + str(y) + '_lblDrawDateNumber"]/text()')
numbers = tree.xpath(".//*[#id='content']/div[3]/table/tr[" + str(y) + "]/td[2]/span/text()") #numbers
numbers = [int(x) for x in numbers] # converts the text to integers
numbers.sort() #sort the number from smallest to largest
mega = tree.xpath(".//*[#id='content']/div[3]/table/tr[" + str(y) + "]/td[3]/text()") #mega number
mega = int(mega[0]) # converts the text to integers
#write to the file
if sheetnames[x-1] == "MegaMillions":
d = 0
else:
d = 1
if int(draw_and_date[0][-4:]) % 2 == 0:
# if the draw date is even then the day is a Friday/Saturday
ws.append([int(draw_and_date[0][-4:]), (days[d+2] + draw_and_date[0][:12]), numbers[0], numbers[1], numbers[2], numbers[3], numbers[4], mega]) # print the draw date
else:
# if the draw date is odd then the day is a Tuesday/Wednesday
ws.append([int(draw_and_date[0][-4:]), (days[d] + draw_and_date[0][:12]), numbers[0], numbers[1], numbers[2], numbers[3], numbers[4], mega])
y -= 1 #decrement y by 1 to get the next missing draw
print("Updated the " + sheetnames[x-1] + " table successfully!")
x -= 1 #decrement x by 1 to move on to the next table
wb.save("Lottery databases.xlsx") #save the workbook
print("Saved the database Sucessfully!")
and so on...