I'm trying fo fill a table (inside an xlsx template for Dynamics NAV) with openpyxl, but when I open the file with Excel it promts an alert: “We found a problem with some content in <Excel_filename>. Do you want us to try recovering the file as much as we can? If you trust the source of this workbook, then click Yes”
Then Excel 'repairs' the file and I can still see the data but the table /xl/tables/table1.xml is gone, and Navision can't accept the file.
This is my code in python:
import openpyxl
wb = openpyxl.load_workbook("data_source.xlsx", data_only=True)
sheet1 = wb.active
wb2 = openpyxl.load_workbook('template.xlsx')
sheet2 = wb2.active
filas = sheet1.max_row
for fila in range(3,filas):
sheet2["A"+ str(fila)] = sheet1["A"+ str(fila)].value
sheet2["B"+ str(fila)] = sheet1["B"+ str(fila)].value
sheet2["C"+ str(fila)] = "FRA"
sheet2["D"+ str(fila)] = "NAC"
wb2.save('tax1.xlsx')
wb2.close()
When I create a table from zero with the code they show in the openpyxl official site:
https://openpyxl.readthedocs.io/en/latest/worksheet_tables.html#creating-a-table
it works fine only if the table starts from row one (ref="A1:E5").
...but this template has a table that starts from row 3!
So when I try to make the table I need (ref="A3:D6") I get this: 'UserWarning: File may not be readable: column headings must be strings.' and as expected, I get the same alert and the same result when I open it with Excel.
Is there a way to modify/fill a table without corrupting the xlsx file?
or, like a workaround
Is there a way to create a table from A3 with no errors?
Thanks in advance
Related
My current project deals with writing data from one excel file to a specific format, chosen by the user. The format is saved in a folder as excel file where headers and some other text (which will always stay the same) is already in the file, and the only thing that needs to be done is to fill the file with data.
For this I would like to "simply" insert my pandas dataframe at a certain row, so that neither the header nor the footer will be overwritten.
Here an example format:
And how I want the result to look like:
I already managed to write the data to the file below the header row, but it overwrites the footer. This is the code that does exactly that:
fileName = saveFolder+"test.xlsx"
shutil.copyfile(format_path, fileName)
book = load_workbook(fileName)
writer = pd.ExcelWriter(fileName, engine='openpyxl')
writer.book = book
writer.sheets = {ws.title: ws for ws in book.worksheets}
df.to_excel(writer, sheet_name="Tabelle1", startrow=1)
writer.close()
If this is not possible the only workaround I can think of is to read the format used, save it in python, write the header in the given format (background colour, fontsize,...), then the data, and then the footer.
However, if I remember correctly when reading text python will not remember which words are written in bold, and which words are normal. If someone, however, knows how to do this, I would also very much appreciate comments that try to solve my issue in that direction.
To preserve the existing format, etc. you will need insert data into specific cells and openpyxl will allow you to do that. to_excel() will overwrite the worksheet you are trying to add the data. There are some gaps in the question, but I will try to answer it the best I can. Below is the code which will:
Assume there is a dataframe existing with a few rows of data
The program will open the template file (like in the screen shot shared)
Add that dataframe (insert rows and add data without header) to the file (screen shot shared)
Save it as a new file
I am assuming there is just one sheet in template and you are writing to that. You can use for loops to add more sheets or new files
Note that the new rows of data will need to be inserted so that the footer will move down and NOT get deleted. The format, color, etc. of the template will remain intact.
dataframe df (including header)
Name Age Nationality
ABC 12 US
DEF 111 UK
GHI 22 India
JKL 49 Japan
Code
import openpyxl
from openpyxl.utils.dataframe import dataframe_to_rows
file = 'inputfile.xlsx' ## Your template file
wb = openpyxl.load_workbook(filename=file)
ws = wb.active ## You can ws = wb['Sheet1'] if you want to specify a specific sheet
ws.insert_rows(idx=2, amount=len(df)) ## Insert as many rows as in df (4 in our case) after row 1
rows = dataframe_to_rows(df, index=False, header=None)
for r_idx, row in enumerate(rows, 2):
for c_idx, value in enumerate(row, 1):
ws.cell(row=r_idx, column=c_idx, value=value) ##Add the data
wb.save('NewFile.xlsx') ##Your output file
Template (inputfile.xlsx)
Output (Newfile.xlsx)
I'm trying to write some code that will change sheet names in an excel file based on the data in another excel file.
At first this worked fine;
Sheet_names = "A","B","C","D"
wb = openpyxl.load_workbook(file_name.xlsx)
for i in range (1, len(Sheet_names)):
Name_change = wb["Sheet{}".format(str(i))]
wb.active = Name_change
Name_change.title = "{}".format(Sheet_names[i])
wb.save((file_name.xlsx))
wb.close()
But for some reason (I'm unsure what I've changed) a graph within the excel file isn't updating. So the data reference is still to Sheet1, Sheet2 etc.
Im also getting a warning message that there are external links - I guess it's assuming the sheet references are external? The excel file comes from a template that's copied across.
Changing it manually isn't an option, Is having Openpyxl recreate the graph for every sheet the only option?
Out of ideas, help!
I am very new in the programming space and tried a lot of things to solve my problem.
It feels like I exactly knew what I have to do, but I can not communicate it in Python.
I have two Excel sheets: wb 1 and wb2.
wb1 is a self updating sheet from some downloaded CSV data with one table, and extending number of rows on and fix number of columns.
I want to insert the date from wb1 (column A-J) and the max. number of rows into wb2 (sheet 3) sheet 3 is a huge table with a lot of data but just the specific part out of wb1 (same positioning as in the wb1 file) needs to be updated.
So I basically want to copy a part out of an workbook and insert int into a specific position into another workbook.
The data in workbook2 is formatted as table so I guess I haive to format the date in workbook1 as table as well before I can copy it. I tried it so far with openpyxl what seems to work great but I can't specify the location in wb2.
I knew this is a problem what can be solved within seconds but I am really in a dead end right now.
Workbook1 = "download.xlsx"
Workbook2 = "Git.xlsx"
wb1 = xl.load_workbook(filename = Workbook1)
ws1 = wb1.worksheets[0]
wb2 = xl.load_workbook(filename = Workbook2)
ws2 = wb2.get_sheet_by_name("Table3")
?
wb2.save(path2)
First, you've to read all the data from the first sheet which download.xlsx, then appened the output value into a list of tuples, after that write the values using the same package openpyxl into the second file Git.xlsx.
I will not be able to write the whole code because my phone battery is running off. So, i will try to share with you an important links you can follow:-
Reading using openpyxl
Writing using openpyxl
Lists in Python
Python List of tuples
I have this weird excel which has a Microsoft-word table inside a cell. I tried openpyxl to read this cell:
wb = openpyxl.load_workbook('weirdexcel.xlsx')
sheet = wb.active
print sheet.cell(row = 1, column = 2).value
but it is not working. Can someone suggest me how to read each element of this table which is inside this excel cell? Or suggest which python module can be useful here?
Update:
I zipped and unzipped the excel file and find the table in embeddings folder as MS-Word file using below code :
myExcelFile = zipfile.ZipFile("weirdexcel.xlsx")
myExcelFile.extractall("myFolder")
myExcelFile.close()
Now my question is how to find out that this MS-word file belongs to row which has ID L_SpVer_1133 ? I need to find a connection between MS-word files and their rows(which row they belong to in Excel file) in case there are lot of rows with embedded tables in weirdexcel.xlsx.
The Word file is not inside B2 but the worksheet itself. Currently, openpyxl does not see the file and, therefore, you cannot access it.
You can probably get at the original file by unzipping the XLSX and searching the contents for the embedded docx.
I'm able to open my pre-existing workbook, but I don't see any way to open pre-existing worksheets within that workbook. Is there any way to do this?
You cannot append to an existing xlsx file with xlsxwriter.
There is a module called openpyxl which allows you to read and write to preexisting excel file, but I am sure that the method to do so involves reading from the excel file, storing all the information somehow (database or arrays), and then rewriting when you call workbook.close() which will then write all of the information to your xlsx file.
Similarly, you can use a method of your own to "append" to xlsx documents. I recently had to append to a xlsx file because I had a lot of different tests in which I had GPS data coming in to a main worksheet, and then I had to append a new sheet each time a test started as well. The only way I could get around this without openpyxl was to read the excel file with xlrd and then run through the rows and columns...
i.e.
cells = []
for row in range(sheet.nrows):
cells.append([])
for col in range(sheet.ncols):
cells[row].append(workbook.cell(row, col).value)
You don't need arrays, though. For example, this works perfectly fine:
import xlrd
import xlsxwriter
from os.path import expanduser
home = expanduser("~")
# this writes test data to an excel file
wb = xlsxwriter.Workbook("{}/Desktop/test.xlsx".format(home))
sheet1 = wb.add_worksheet()
for row in range(10):
for col in range(20):
sheet1.write(row, col, "test ({}, {})".format(row, col))
wb.close()
# open the file for reading
wbRD = xlrd.open_workbook("{}/Desktop/test.xlsx".format(home))
sheets = wbRD.sheets()
# open the same file for writing (just don't write yet)
wb = xlsxwriter.Workbook("{}/Desktop/test.xlsx".format(home))
# run through the sheets and store sheets in workbook
# this still doesn't write to the file yet
for sheet in sheets: # write data from old file
newSheet = wb.add_worksheet(sheet.name)
for row in range(sheet.nrows):
for col in range(sheet.ncols):
newSheet.write(row, col, sheet.cell(row, col).value)
for row in range(10, 20): # write NEW data
for col in range(20):
newSheet.write(row, col, "test ({}, {})".format(row, col))
wb.close() # THIS writes
However, I found that it was easier to read the data and store into a 2-dimensional array because I was manipulating the data and was receiving input over and over again and did not want to write to the excel file until it the test was over (which you could just as easily do with xlsxwriter since that is probably what they do anyway until you call .close()).
After searching a bit about the method to open the existing sheet in xlxs, I discovered
existingWorksheet = wb.get_worksheet_by_name('Your Worksheet name goes here...')
existingWorksheet.write_row(0,0,'xyz')
You can now append/write any data to the open worksheet.
You can use the workbook.get_worksheet_by_name() feature:
https://xlsxwriter.readthedocs.io/workbook.html#get_worksheet_by_name
According to https://xlsxwriter.readthedocs.io/changes.html the feature has been added on May 13, 2016.
"Release 0.8.7 - May 13 2016
-Fix for issue when inserting read-only images on Windows. Issue #352.
-Added get_worksheet_by_name() method to allow the retrieval of a worksheet from a workbook via its name.
-Fixed issue where internal file creation and modification dates were in the local timezone instead of UTC."
Although it is mentioned in the last two answers with it's documentation link, and from the documentation it seems indeed there are new methods to work with the "worksheets", I couldn't able to find this methods in the latest package of "xlsxwriter==3.0.3"
"xlrd" has removed support for anything other than xls files now.
Hence I was able to workout with "openpyxl" this gives you the expected functionality as mentioned in the first answer above.