I want to save excel sheet with existing sheet formats and background color.
I could save successfully to a new file with out old file format.
How can I keep the existing excel sheet format when save in to a new file.
writer = pd.ExcelWriter('New.xlsx', engine='xlsxwriter')
dfDiff.to_excel(writer, sheet_name='DIFF', index=False)
writer.save()
I had no good experience with pandas and format styles... what works if you use win32com like this example:
from win32com.client import DispatchEx
excel = DispatchEx('Excel.Application')
wbP=excel.Workbooks.Open(r'C:\Temp\Junk\Temp.xlsx')
wbG=excel.Workbooks.Open(r'C:\Temp\Junk\Temp2.xlsx')
wbG.Worksheets('TAA2').Copy(Before=wbP.Worksheets("TAA"))
wbP.SaveAs(r'C:\Temp\Junk\Temp.xlsx')
excel.Quit()
del excel # ensure Excel process ends
this copies everything... (styles, formats, formulas etc.)
Another option is copy the whole workbook and delete the not needed sheets, if you create a new file and not editing an existing one...
Copy worksheet from one workbook to another one using Openpyxl
Related
I have an excel file that i want to use as template, what i need is just change the values of some cells, and save it as another excel file. The problem is that when i save it the formatting, style and some date values are changed
from openpyxl import load_workbook
wb = load_workbook("test.xlsx")
ws = wb["RDO"]
ws["B8"].value = "MAI MAN"
wb.save("new.xlsx")
The old file:
The new one:
As you can see the borders and date fields were changed.
I was thinking in just unzip the excel and modify the xml files, then zip it back, but this approach has a problem. I will need to make a copy of some worksheets, so i tought i should be ok in just copy and paste the sheet.xml file and change the workbook.xml file to add this new sheet, but when i do this all the cells are cleared which is weird because when i copy the sheet in the excel program the output sheet file it's exactly the same as the original
I would like some simple solution if possible, maybe some other library or a fix for this xml sheet problem
I am trying to add a large dataset to an existing xls spreadsheet.
I'm currently writing to it using a pandas dataframe and the .to_excel() function, however this erases the existing data in the (multi-sheet) workbook. The existing spreadsheet is very large and complex,it also interacts with several other files, so I can't convert it to xlsx or read and rewrite all of the data, as I've seen some suggestions on other questions. I want the data that I am adding to be pasted starting from a set row in an existing sheet.
Yes , you can use the library xlsxwriter , link= https://xlsxwriter.readthedocs.io
code example :
import xlsxwriter
Name="MyFile"+".xlsx"
workbook = xlsxwriter.Workbook(Name)
worksheet = workbook.add_worksheet()
worksheet.write("A1", "Incident category".decode("utf-8"))
worksheet.write("B1", "Longitude".decode("utf-8"))
worksheet.write("C1", "Latitude".decode("utf-8"))
workbook.close()
I need to write multiple dataframes to an excel file. These dataframes needs to be written to a specific sheet and it should not overwrite existing data on that sheet.
The code I have is as follows:
excelbook = test.xlsx
book = load_workbook(excelbook)
writer = pd.ExcelWriter(excelbook, engine = 'openpyxl')
writer.book = book
df.to_excel(writer, sheet_name = 'apple', startcol=5, startrow=0)
writer.save()
writer.close()
Problem with my code is, each time I run it to write a dataframe, it is creating a new sheet in the excel file. For example, if the sheet name I need is "apple", then since I'm running this piece of code 3 times (to write 3 dataframes to the same sheet), it is creating a new sheet each time and naming them as - "apple1", "apple2" and "apple3"
I need to write multiple dataframes to the same excel file, to the same sheet in that file, without overwriting the existing data in the sheet.
Please help. Thanks in advance.
I am quite new to Python/Pandas. I have a situation where I have to update an existing sheet with new data every week. this 'new' data is basically a processed data from raw csv files which are generated every week and I have already written a python code to generate this 'new' data which is basically a pandas Dataframe in my code. Now I want to append this Dataframe object to an existing sheet in my excel workbook. I am already using the below code to write the DF to the XL Workbook into a specific sheet.
workbook_master=openpyxl.load_workbook('C:\Claro\Pre-Sales\E2E Optimization\Transport\Transport Network Dashboard.xlsx')
writer=pandas.ExcelWriter('C:\Claro\Pre-Sales\E2E Optimization\Transport\Transport Network Dashboard.xlsx',engine='openpyxl',mode='a')
df_latency.to_excel(writer,sheet_name='Latency',startrow=workbook_master['Latency'].max_row,startcol=0,header=False,index=False)
writer.save()
writer.close()
now the problem is when i run the code and open the excel file, instead of writing the dataframe to existing sheet 'Latency', the code creates a new sheet 'Latency1' and writes the Dataframe to it. the contents and the positioning of the Dataframe is correct but I do not understand why the code is creating a new sheet 'Latency1' instead of writing the Dataframe into existing sheet 'Latency'
will greatly appreciate any help here.
Thanks
Faheem
By default, when ExcelWriter is instantiated, it assumes a new Empty Workbook with no Worksheets.
So when you try to write data into 'Latency', it creates a new blank Worksheet instead. In addition, the openpxyl library performs a check before writing to "avoid duplicate names" (see openpxyl docs : line 18), which numerically increment the sheet name to write to 'Latency1' instead.
To go around this problem, copy the existing Worksheets into the ExcelWriter.sheets attribute, after writer is created.
Like this:
writer.sheets = dict((ws.title, ws) for ws in workbook_master.worksheets)
Say I want to update som data in example1.xlsx.
Is this possible to do using openpyxl without having to save it as a new file?
As far as I can tell you can open a workbook with openpyxl, modify some data, then save the workbook in place:
wb = openpyxl.load_workbook('path\\to\\workbook.xlsx')
c = wb['Sheet1']['A1']
c.value = 'hello'
wb.save('path\\to\\workbook.xlsx')
If you're saying that your workbook is too big to manipulate in this way, it looks as if you would have to open it in read-only mode, manipulate the data as you read it in, and write it to a new workbook in write-only mode.