import xlrd
import openpyxl
import numpy as n
from numpy import *

file_location = "C:/Users/test.xlsx"
sheet_index = 2
range_hist = 23
lifetime_data = 3
low_salesyear = 1990
upp_salesyear = 2005
col_filter1 = 14
filter_value1 = 1
col_filter2 = 18
filter_value2 = 5


    # open excel-file
    workbook = xlrd.open_workbook(file_location)


    # get sheet, index always start at 0
    sheet = workbook.sheet_by_index(sheet_index)


    #read all data in the sheet
    list_device = [[sheet.cell_value(r,c) for c in range (sheet.ncols)] for r in range (1,sheet.nrows)]


    # filter list for independent variables
    listnew = list(filter(lambda x:  x[col_filter1]==filter_value1 and x[col_filter2]==filter_value2 and low_salesyear <= x[0] <= upp_salesyear, list_device))
    # low_salesyear <= x[0] <= upp_salesyear and


    # select relevant data from filtered list for histogram and store it in list for histogram

    list_for_hist = []
    for i in range(len(listnew)):
        list_for_hist.append(listnew[i][lifetime_data])
    print (list_for_hist)


    # create array from list
    array_for_hist = array(list_for_hist)


    # create histogram
    hist = np.histogram(array_for_hist, bins = range(0,int(range_hist)))
    print (hist)

[8.0, 19.0, 4.0, 4.0, 8.0, 3.0, 13.0, '', 10.0, 7.0, 17.0, 16.0, 8.0,
6.0, 13.0, 8.0, 7.0, 11.0, 12.0, 13.0, 4.0, 6.0, 5.0, 19.0, 8.0, 6.0]

(array([  0,  10,   0,   1,   3,   1,   3,   2,   5, -25,   1,   1,   1,
         3,   0,   0,   1,   1,   0,   2,   0,   0]), array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,
       17, 18, 19, 20, 21, 22]))