Dynamically add items from a file to a ComboBox - pandas

Question

I am working on an application that allows the user to dynamically add to and remove items from an excel file. The quantity of items shall be unlimited.
I am looking for a way to grab the items from the excel file and transfer them to the ComboBox.
To make myself clearer: The problem is not iterating through cells, but getting cell values into the ComboBox. I need a method that captures the content of all cells with values in a given column, where the end of range is unknown and then transfer the values to a ComboBox.
The Combobox only accepts values, not any empty cells. I also don't want fields in the ComboBox that say "No Value".
I have tried itering through cells and range methods, but this doesn't get the values into the ComboBox.
What I have so far is:
wb = load_workbook (source_file)
ws = wb.active
self.value_1 = ws['B2'].value
self.value_2 = ws['B3'].value
self.value_3 = ws['B4'].value
self.value_4 = ws['B5'].value
self.value_5 = ws['B6'].value
self.value_6 = ws['B7'].value
self.value_7 = ws['B8'].value
self.value_8 = ws['B9'].value
self.value_9 = ws['B10'].value
self.value_10 = ws['B11'].value
stock_items = [ self.value_1 , self.value_2 , self.value_3 , self.value_4 , self.value_5 ,
self.value_6 , self.value_7 , self.value_8 , self.value_9 , self.value_10 ]
self.combo_items_list = [ ]
for stock_item in stock_items :
if stock_item != None :
self.combo_items_list.append (stock_item)
self.combo.addItems(self.combo_items_list)
This works as expected, but what troubles me is that I have to add a line of code for each item I grab from the excel file, besides having to put an extra entry into the stock_items list. If there were 5.000 items in the file, that would result in 5.000 lines of code and 5000 entries in the list.
Is there a more efficient and elegant way to handle the issue with "counter" or pandas?
Thanks in advance.

Answer 1

I found a way to do this nicely using Pandas, not opnpyxl :
import pandas as pd
import numpy as np
# get sheet and whole column
sales = pd.read_excel ("Inventory.xlsx")
# filter out any None Values
sales_article = sales ["Artigo"] .dropna()
# transform into list
sales_list = sales_article.values.tolist()
# add list to ComboBox
self.combo.addItems(sales_list)

Answer 2

In openpyxl 2.4 worksheets have an iter_cols method that allow you to select a range of cells and have them returned as columns. Just like iter_rows returns them as rows. This is the simplest and most efficient way to do what you want to do.
See https://openpyxl.readthedocs.io/en/default/tutorial.html#accessing-many-cells for details.
An example for your use case:
cells = [cell.value for cell in ws.iter_cols(min_col=2, max_col=2, min_row=2) if cell.value is not None]

Answer 3

wb = load_workbook(source_file)
ws = wb.active
lastrow = ws.UsedRange.Height # don't remember method name
for row in range(lastrow):
value = ws['B' + str(row + 2)].value
if value is not None:
self.combo_items_list.append (value)
self.combo.addItems(self.combo_items_list)
See worksheet docs for other ways to get range of excel rows.

Answer 4

wb = load_workbook (source_file)
ws = wb.active
self.combo_items_list = [ ]
// loop from 2(start)-11(end)
// check if ws['B'<counter>].value is available and not null
// add this value to your array of combo for each ittration.
self.combo_items_list.append (ws['B'<counter>].value)
self.combo.addItems(self.combo_items_list)
Sorry, if i am getting it wrong. I don't know the syntax of given language. Still saw a logical answer and decided to post.