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How to put a value to an excel cell?

You'll probably laugh at me, but I am sitting on this for two weeks. I'm using python with pandas.
All I want to do, is to put a calculated value in a pre-existing excel file to a specific cell without changing the rest of the file. That's it.
Openpyxl makes my file unusable (means, I can not open because it's "corrupted" or something) or it plainly delets the whole content of the file. Xlsxwriter cannot read or modify pre-existing files. So it has to be pandas.
And for some reason I can't use worksheet = writer.sheets['Sheet1'], because that leads to an "unhandled exception".
Guys. Help.

I tried a bunch of packages but (for a lot of reasons) I ended up using xlwings. You can do pretty much anything with it in python that you can do in Excel.
Documentation link
So with xlwings you'd have:
import xlwings as xw
# open app_excel
app_excel = xw.App(visible = False)
# open excel template
wbk = xw.Book( r'stuff.xlsx' )
# write to a cell
wbk.sheets['Sheet1'].range('B5').value = 15
# save in the same place with the same name or not
wbk.save()
wbk.save( r'things.xlsx' )
# kill the app_excel
app_excel.kill()
del app_excel
Let me know how it goes.

Update .xlsm file values python

I have a .xlsm file as a reference template. I want to update the values of this .xlsm file using python from a .csv file.
template .xlsm ----> Update values using .csv
What has not worked :
I tried using pandas.to_excel method. but the .xlsm file gets corrupted after I write to sheet.
Could someone please point me in the right direction ?

openpyxl supports xlsm file.
from openpyxl import load_workbook
wb2 = load_workbook('test.xlsm', keep_vba=True)
update(wb2, csvfile.csv) # this is where you need to work according to your need.
wb.save('new_document.xlsm')
wb.close()
https://openpyxl.readthedocs.io/en/default/tutorial.html

Maybe to try xlwings, using it something like this?
def update(workbook, csv_file):
ws = workbook.sheets[2]
ws.range('B14').value = 155
from xlwings import Book
wb = Book(r'test.xlsm')
update(wb, csv_file)
wb.save('test1.xlsm')
wb.close()
This is the best tool to update xlsm files since it uses WindowsAPI and macros are triggered in case something is changed. This means, it won't work on Linux.
Of course, update function must do something more meaningful than changing the B14 cell in the 3rd sheet.
For more info, please read http://docs.xlwings.org/en/stable/quickstart.html

pandas read excel values not formulas

Is there a way to have pandas read in only the values from excel and not the formulas? It reads the formulas in as NaN unless I go in and manually save the excel file before running the code. I am just working with the basic read excel function of pandas,
import pandas as pd
df = pd.read_excel(filename, sheetname="Sheet1")
This will read the values if I have gone in and saved the file prior to running the code. But after running the code to update a new sheet, if I don't go in and save the file after doing that and try to run this again, it will read the formulas as NaN instead of just the values. Is there a work around that anyone knows of that will just read values from excel with pandas?

That is strange. The normal behaviour of pandas is read values, not formulas. Likely, the problem is in your excel files. Probably your formulas point to other files, or they return a value that pandas sees as nan.
In the first case, the sheet needs to be updated and there is nothing pandas can do about that (but read on).
In the second case, you could solve by setting explicit nan values in read_excel:
pd.read_excel(path, sheetname="Sheet1", na_values = [your na identifiers])
As for the first case, and as a workaround solution to make your work easier, you can automate what you are doing by hand using xlwings:
import pandas as pd
import xlwings as xl
def df_from_excel(path):
app = xl.App(visible=False)
book = app.books.open(path)
book.save()
app.kill()
return pd.read_excel(path)
df = df_from_excel(path to your file)
If you want to keep those formulas in your excel file just save the file in a different location (book.save(different location)). Then you can get rid of the temporary files with shutil.

I had this problem and I resolve it by moving a graph below the first row I was reading. Looks like the position of the graphs may cause problems.

you can use xlrd to read the values.
first you should refresh your excel sheet you are also updating the values automatically with python. you can use the function below
file = myxl.xls
import xlrd
import win32com.client
import os
def refresh_file(file):
xlapp = win32com.client.DispatchEx("Excel.Application")
path = os.path.abspath(file)
wb = xlapp.Wordbooks.Open(path)
wb.RefreshAll()
xlapp.CalculateUntilAsyncqueriesDone()
wb.save()
xlapp.Quit()
after the file refresh, you can start reading the content.
workbook = xlrd.open_workbook(file)
worksheet = workbook.sheet_by_index(0)
for rowid in range(worksheet.nrows):
row = worksheet.row(rowid)
for colid, cell in enumerate(row):
print(cell.value)
you can loop through however you need the data. and put conditions while you are reading the data. lot more flexibility

Write data into existing excel file and making summary table

I have to write some data into existing xls file.(i should say that im working on unix and couldnt use windows)
I prefer work with python and have tried some libraries like xlwt, openpyxl, xlutils.
Its not working, cause there is some filter in my xls file. After rewriting this file filter is dissapearing. But i still need this filter.
Could some one tell me about options that i have.
help, please!
Example:
from xlutils.copy import copy
from xlrd import open_workbook
from xlwt import easyxf
start_row=0
rb=open_workbook('file.xls')
r_sheet=rb.sheet_by_index(1)
wb=copy(rb)
w_sheet=wb.get_sheet(1)
for row_index in range(start_row, r_sheet.nrows):
row=r_sheet.row_values(row_index)
call_index=0
for c_el in row:
value=r_sheet.cell(row_index, call_index).value
w_sheet.write(row_index, call_index, value)
call_index+=1
wb.save('file.out.xls');
I also tried:
import xlrd
from openpyxl import Workbook
import unicodedata
rb=xlrd.open_workbook('file.xls')
sheet=rb.sheet_by_index(0)
wb=Workbook()
ws1=wb.create_sheet("Results", 0)
for rownum in range(sheet.nrows):
row=sheet.row_values(rownum)
arr=[]
for c_el in row:
arr.append(c_el)
ws1.append(arr)
ws2=wb.create_sheet("Common", 1)
sheet=rb.sheet_by_index(1)
for rownum in range(sheet.nrows):
row=sheet.row_values(rownum)
arr=[]
for c_el in row:
arr.append(c_el)
ws2.append(arr)
ws2.auto_filter.ref=["A1:A15", "B1:B15"]
#ws['A1']=42
#ws.append([1,2,3])
wb.save('sample.xls')
The problem is still exist. Ok, ill try to find machine running on windows, but i have to admit something else:
There is some rows like this:
enter image description here
Ive understood what i was doing wrong, but i still need help.
First of all, i have one sheet that contains some values
Second sheet contains summary table!!!
If i try to copy this worksheet it did wrong.
So, the question is : how could i make summary table from first sheet?

Suppose your existing excel file has two columns (date and number).
This is how you will append additional rows using openpyxl.
import openpyxl
import datetime
wb = openpyxl.load_workbook('existing_data_file.xlsx')
sheet = wb.get_sheet_by_name('Sheet1')
a = sheet.get_highest_row()
sheet.cell(row=a,column=0).value=datetime.date.today()
sheet.cell(row=a,column=1).value=30378
wb.save('existing_data_file.xlsx')

If you are on Windows, I would suggest you take a look at using the win32com.client approach. This allows you to interact with your spreadsheet using Excel itself. This will ensure that any existing filters, images, tables, macros etc should be preserved.
The following example opens an XLS file adds one entry and saves the whole workbook as a different XLS formatted file:
import win32com.client as win32
import os
excel = win32.gencache.EnsureDispatch('Excel.Application')
wb = excel.Workbooks.Open(r'input.xls')
ws = wb.Worksheets(1)
# Write a value at A1
ws.Range("A1").Value = "Hello World"
excel.DisplayAlerts = False # Allow file overwrite
wb.SaveAs(r'sample.xls', FileFormat=56)
excel.Application.Quit()
Note, make sure you add full paths to your input and output files.

"Worksheet range names does not exist" KeyError in openpyxl

Let me preface this by saying I have tried looking for, and cannot seem to find a similar situation so please don't be too upset if this seems familiar to you. I am using Python 2.7 and openpyxl version 2.2.5 (I need to use 2.7, and used an older module for other reasons.)
I am new to Python and read/write code in general, so I'm testing this on the command line before I implement it:
I created a file, foo.xlsx in the Python27 file directory with some values that I manually entered via Excel.
I then used this simple code on the Python command line to test my code
from openpyxl import load_workbook
wb = load_workbook('foo.xlsx')
sheet_ranges = wb['range names']
It then resulted in the following error:
File "C:\Python27\lib\openpyxl\workbook.workbook.py", line 233 in getitem
raise KeyError("Worksheet {0} does not exist.".format(key))
KeyError: 'Worksheet sheet range names does not exist'
So I thought it had something to do with not importing the entire openpyxl module. I proceeded to do that and run the whole process but it resulted in the same error.
Can someone please let me know what I am doing wrong/how to solve this?
Additional information:
I had successfully written to an empty file before, and then read the values. This gave me the right values for everything EXCEPT what I had written in manually via Excel- the cells that had manual input returned None or Nonetype. The issue seems to be with cells with manual input.
I did hit save on the file before accessing it don't worry
This was in the same directory so I know that it wasn't a matter of location.

The following command does not make sense:
sheet_ranges = wb['range names']
Normally you open a workbook and then access one of the worksheets, the following gives you some examples on how this can be done:
import openpyxl
wb = openpyxl.Workbook()
wb = openpyxl.load_workbook(filename = 'input.xlsx')
# To display all of the available worksheet names
sheets = wb.sheetnames
print sheets
# To work with the first sheet (by name)
ws = wb[sheets[0]]
print ws['A1'].value
# To work with the active sheet
ws = wb.active
print ws['A1'].value
# To work with the active sheet (alternative method)
ws = wb.get_active_sheet()
print ws['A1'].value
If you want to display any named range in the workbook, you can do the following:
print wb.get_named_ranges()

I'm not exactly sure what it is you need to do, but to read Excel spreadsheets into python, I usually use xlrd (which to me was easier to get use to). See example:
import xlrd
workbook = xlrd.open_workbook(in_fname)
worksheet = workbook.sheet_by_index(0)
To write to Excel spreadsheets, I use xlsxwriter:
import xlsxwriter
workbook = xlsxwriter.Workbook(out_fname)
worksheet = workbook.add_worksheet('spreadsheet_name')
Hope this helps.