I am using openpyxl to write to a workbook. But that workbook needs to be closed in order to edit it. Is there a way to write to an open Excel sheet? I want to have a button that runs a Python code using the commandline and fills in the cells.
The current process that I have built is using VBA to close the file and then Python writes it and opens it again. But that is inefficient. That is why I need a way to write to open files.
If you're a Windows user there is a very easy way to do this. If we use the Win32 Library we can leverage the built-in Excel Object VBA model.
Now, I am not sure exactly how your data looks or where you want it in the workbook but I'll just assume you want it on the sheet that appears when you open the workbook.
For example, let's imagine I have a Panda's DataFrame that I want to write to an open Excel Workbook. It would like the following:
import win32com.client
import pandas as pd
# Create an instance of the Excel Application & make it visible.
ExcelApp = win32com.client.GetActiveObject("Excel.Application")
ExcelApp.Visible = True
# Open the desired workbook
workbook = ExcelApp.Workbooks.Open(r"<FILE_PATH>")
# Take the data frame object and convert it to a recordset array
rec_array = data_frame.to_records()
# Convert the Recordset Array to a list. This is because Excel doesn't recognize
# Numpy datatypes.
rec_array = rec_array.tolist()
# It will look something like this now.
# [(1, 'Apple', Decimal('2'), 4.0), (2, 'Orange', Decimal('3'), 5.0), (3, 'Peach',
# Decimal('5'), 5.0), (4, 'Pear', Decimal('6'), 5.0)]
# set the value property equal to the record array.
ExcelApp.Range("F2:I5").Value = rec_array
Again, there are a lot of things we have to keep in mind as to where we want it pasted, how the data is formatted and a whole host of other issues. However, at the end of the day, it is possible to write to an open Excel file using Python if you're a Windows' user.
python workbook = ExcelApp.Workbooks.Open(r"<FILE_PATH>") You would write this: python workbook = ExcelApp.ActiveWorkbook This represents the Active Workbook or the, in other words, the workbook that you currently have your cursor in.Generally, two different processes shouldn't not be writing to the same file because it will cause synchronization issues.
A better way would be to close the existing file in parent process (aka VBA code) and pass the location of the workbook to python script.
The python script will open it and write the contents in the cell and exit.
No this is not possible because Excel files do not support concurrent access.
I solved this doing the follow: Create an intermediary excel file to recieve data from python and then create a connexion between this file and the main file. The excel has a tool that allow automatically refresh imported data from another workbook. Look this LINK
wb = openpyxl.load_workbook(filename='meanwhile.xlsm', read_only=False, keep_vba=True)
...
wb.save('meanwhile.xlsm')
In sequence open your main excel file:
On the Data tab, create a connexion with the "meanwhile" workbook, then in the Connections group, click the arrow next to Refresh, and then click Connection Properties.
Click the Usage tab.
Select the Refresh every check box, and then enter the number of minutes between each refresh operation.
Using below code I have achieved, writing the Excel file using python while it is open in MS Execl. This solution is for Windows OS, not sure for others.
from kiteconnect import KiteConnect
import xlwings as xw
wb = xw.Book('winwin_safe_trader_youtube_watchlist.xlsx')
sht = wb.sheets['Sheet1']
stocks_list = sht.range('A2').expand("down").value
watchlist = []
time.sleep(10)
for name in stocks_list:
symbol = "NSE:" + name
watchlist.append(symbol)
print(datetime.datetime.today().time())
data = kite.quote(watchlist)
df = pd.DataFrame(data).transpose()
df = df.drop(['depth', 'ohlc'], 1)
print(df)
sht.range('B1').value = df
time.sleep(1)
wb.save('winwin_safe_trader_youtube.xlsx')
