Reputation: 1110
I have always used win32com
module in my development server to easily convert from xlsx
to pdf
:
o = win32com.client.Dispatch("Excel.Application")
o.Visible = False
o.DisplayAlerts = False
wb = o.Workbooks.Open("test.xlsx")))
wb.WorkSheets("sheet1").Select()
wb.ActiveSheet.ExportAsFixedFormat(0, "test.pdf")
o.Quit()
However, I have deployed my Django
app in production server where I don't have Excel application installed and it raises the following error:
File "C:\virtualenvs\structuraldb\lib\site-packages\win32com\client\__init__.p
y", line 95, in Dispatch
dispatch, userName = dynamic._GetGoodDispatchAndUserName(dispatch,userName,c
lsctx)
File "C:\virtualenvs\structuraldb\lib\site-packages\win32com\client\dynamic.py
", line 114, in _GetGoodDispatchAndUserName
return (_GetGoodDispatch(IDispatch, clsctx), userName)
File "C:\virtualenvs\structuraldb\lib\site-packages\win32com\client\dynamic.py
", line 91, in _GetGoodDispatch
IDispatch = pythoncom.CoCreateInstance(IDispatch, None, clsctx, pythoncom.II
D_IDispatch)
com_error: (-2147221005, 'Invalid class string', None, None)
Is there any good alternative to convert from xlsx
to PDF
in Python?
I have tested xtopdf with PDFWriter, but with this solution you need to read and iterate the range and write lines one by one. I wonder if there is a more direct solution similar to win32com.client.
Thanks!
Upvotes: 11
Views: 51991
Reputation: 180
I'm using Linux, so I couldn't try pywin32. So I found unoserver with LibreOffice
import subprocess
def convert_xlsx_to_pdf(xlsx_file):
try:
subprocess.run(["libreoffice", "--headless", "--convert-to", "pdf", xlsx_file])
print("Done!")
except Exception as e:
print("Error:", e)
convert_xlsx_to_pdf("file.xlsx")
Upvotes: 3
Reputation: 6149
This is a far more efficient method than trying to load a redundant script that is hard to find and was wrtten in Python 2.7.
dirname, fname = os.path.split(source)
basename = os.path.basename(fname)
data = pd.read_excel(source).head(6)
css = """
"""
text_file = open(f"{basename}.html", "w")
# write the CSS
text_file.write(css)
# write the HTML-ized Pandas DataFrame
text_file.write(data.to_html())
text_file.close()
imgkitoptions = {"format": "jpg"}
imgkit.from_file(f"{basename}.html", f'{basename}.png', options=imgkitoptions)
try:
os.remove(f'{basename}.html')
except Exception as e:
print(e)
return send_from_directory('./', f'{basename}.png')
Taken from here https://medium.com/@andy.lane/convert-pandas-dataframes-to-images-using-imgkit-5da7e5108d55
Works really well, I have XLSX files converting on the fly and displaying as image thumbnails on my application.
Upvotes: 3
Reputation: 896
As my original answer was deleted and is eventually a bit useful, I repost it here.
You could do it in 3 steps:
import pandas as pd
import pdfkit
df = pd.read_excel("file.xlsx")
df.to_html("file.html")
pdfkit.from_file("file.html", "file.pdf")
install:
sudo pip3.6 install pandas xlrd pdfkit
sudo apt-get install wkhtmltopdf
Upvotes: 12
Reputation: 485
from openpyxl import load_workbook
from PDFWriter import PDFWriter
workbook = load_workbook('fruits2.xlsx', guess_types=True, data_only=True)
worksheet = workbook.active
pw = PDFWriter('fruits2.pdf')
pw.setFont('Courier', 12)
pw.setHeader('XLSXtoPDF.py - convert XLSX data to PDF')
pw.setFooter('Generated using openpyxl and xtopdf')
ws_range = worksheet.iter_rows('A1:H13')
for row in ws_range:
s = ''
for cell in row:
if cell.value is None:
s += ' ' * 11
else:
s += str(cell.value).rjust(10) + ' '
pw.writeLine(s)
pw.savePage()
pw.close()
I have been using this and it works fine
Upvotes: 2