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How to read outline levels using Python `openpyxl`?

My organization has a clean export for bills of materials (BOM). I would like to automatically parse the excel file to check the BOM for certain attributes.
At the moment, I'm using Python with openpyxl.
I can read the excel workbook and worksheet just fine, but I cannot seem to find the attribute that contains the "outline level" of each row (I fully concede that I may be using the wrong terminology... another term candidate might be "group").
When I look at my excel file using excel, I see this at the left of the screen:
I would like to extract the 1 2 3 4 5 from each of the rows and to tell what grouping they were in.
My initial code is:
from pathlib import Path
import openpyxl as xl
path = Path('<path-to-my-file>.xlsx')
wb = xl.load_workbook(filename=path)
sh = wb.worksheets[0]
# ... would like to put outline level reading code here
From reading other questions, I suspect that I need to look at the row_dimension.group method of the worksheet, but I can't seem to get a handle on the syntax or the exact attribute that I'm looking for.

Thanks for the post. I was struggling with the same problem and seing your post gave me an idea!
I overcome it with the following code:
from pathlib import Path
import openpyxl as xl
path = Path('<path-to-my-file>.xlsx')
wb = xl.load_workbook(filename=path)
sh = wb.worksheets[0]
for row in sorted(sheet.row_dimensions):
outline1=sheet.dimensions[row].outlineLevel
outline2=sheet.dimensions[row].outline_level
print(row,sheet.dimensions[row], outline1, outline2 )

Maybe you can use the following code to gather individual row outline levels as an integer. I use a similar code to find maximum outline level in a sheet with some more lines.
for index in range(ws.min_row, ws.max_row):
row_level = ws.row_dimensions[index].outline_level + 1
In here row level variable is the outline level, you may use as required. But please double check +1, if I remember correctly, to get true level, you need to increase variable by one.

How do you read rows from a csv file and store it in an array using Python codes?

I have a CSV file, diseases_matrix_KNN.csv which has excel table.
Now, I would like to store all the numbers from the row like:
Hypothermia = [0,-1,0,0,0,0,0,0,0,0,0,0,0,0]
For some reason, I am unable to find a solution to this. Even though I have looked. Please let me know if I can read this type of data in the chosen form, using Python please.

most common way to work with excel is use Pandas.
Here is example:
import pandas as pd
df = pd.read_excel(filename)
print (df.iloc['Hypothermia']). # gives you such result

form automation 12 digit number extracting with decimal

I'm working on a form automation script in python. It extracts the data from a excel file and fills out in a online form. The problem I'm facing is with a 12-digit number in a column in excel file data. The number seems fine the excel file by using custom setting for it but when the python script extracts the data it appears as a hexadecimal number. I've tried using many things but nothing really seems to work. I'm using xlrd.
My current script
stradh = str(sheet.cell(row,col).value)
browser.find_element_by_id('number').send_keys(stradh)
Number in excel file:
357507103697
Number when extracting from python script:
3.57507103697e+11
Thank you.

you need the decimal module and convert no from scientific no
from xlrd import *
import decimal
workbook = open_workbook('temp.xlsx')
sheet = workbook.sheet_by_index(2)
value = sheet.cell_value(0, 0)
print decimal.Decimal(value)

You can try using longint.Try, long(sheet.cell(row,col).value). I hope this helps.If you need string then you can use str on long.

python pandas formula to dataframe

I am creating a dataframe with a bunch of calculations and adding new columns using these formulas (calculations). Then I am saving the dataframe to an Excel file.
I lose the formula after I save the file and open the file again.
For example, I am using something like:
total = 16
for s in range(total):
df_summary['Slopes(avg)' + str(s)]= df_summary[['Slope_S' + str(s)]].mean(axis=1)*df_summary['Correction1']/df_summary['Correction2'].mean(axis=1)
How can I make sure this formula appears in my excel file I write to, similar to how we have a formula in an excel worksheet?

You can write formulas to an excel file using the XlsxWriter module. Use .write_formula() https://xlsxwriter.readthedocs.org/worksheet.html#worksheet-write-formula. If you're not attached to using an excel file to store your dataframe you might want to look into using the pickle module.
import pickle
# to save
pickle.dump(df,open('saved_df.p','wb'))
# to load
df = pickle.load(open('saved_df.p','rb'))

I think my answer here may be responsive. The short of it is you need to use openpyxl (or possibly xlrd if they've added support for it) to extract the formula, and then xlsxwriter to write the formula back in. It can definitely be done.
This assumes, of course, as #jay s pointed out, that you first write Excel formulas into the DataFrame. (This solution is an alternative to pickling.)

Is there any way to edit an existing Excel file using Python preserving formulae?

I am trying to edit several excel files (.xls) without changing the rest of the sheet. The only thing close so far that I've found is the xlrd, xlwt, and xlutils modules. The problem with these is it seems that xlrd evaluates formulae when reading, then puts the answer as the value of the cell. Does anybody know of a way to preserve the formulae so I can then use xlwt to write to the file without losing them? I have most of my experience in Python and CLISP, but could pick up another language pretty quick if they have better support. Thanks for any help you can give!

I had the same problem... And eventually found the next module:
from openpyxl import load_workbook
def Write_Workbook():
wb = load_workbook(path)
ws = wb.get_sheet_by_name("Sheet_name")
c = ws.cell(row = 2, column = 1)
c.value = Some_value
wb.save(path)
==> Doing this, my file got saved preserving all formulas inserted before.
Hope this helps!

I've used the xlwt.Formula function before to be able to get hyperlinks into a cell. I imagine it will also work with other formulas.
Update: Here's a snippet I found in a project I used it in:
link = xlwt.Formula('HYPERLINK("%s";"View Details")' % url)
sheet.write(row, col, link)

As of now, xlrd doesn't read formulas. It's not that it evaluates them, it simply doesn't read them.
For now, your best bet is to programmatically control a running instance of Excel, either via pywin32 or Visual Basic or VBScript (or some other Microsoft-friendly language which has a COM interface). If you can't run Excel, then you may be able to do something analogous with OpenOffice.org instead.

We've just had this problem and the best we can do is to manually re-write the formulas as text, then convert them to proper formulas on output.
So open Excel and replace =SUM(C5:L5) with "=SUM(C5:L5)" including the quotes. If you have a double quote in your formula, replace it with 2 double quotes, as this will escape it, so = "a" & "b" becomes "= ""a"" & ""b"" ")
Then in your Python code, loop over every cell in the source and output sheets and do:
output_sheet.write(row, col, xlwt.ExcelFormula.Formula(source_cell[1:-1]))
We use this SO answer to make a copy of the source sheet to be the output sheet, which even preserves styles, and avoids overwriting the hand written text formulas from above.