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import pandas as pd
import os
import xlrd # Reads old .xls files
from openpyxl import Workbook
from openpyxl import load_workbook
from reportlab.pdfgen import canvas
from reportlab.lib.pagesizes import landscape, portrait, A0, A1, A2, A3, A4
from reportlab.lib.colors import Color, black
def convert_xls_to_xlsx(xls_path):
"""Convert .xls to .xlsx while keeping all sheets and data intact."""
if not xls_path.endswith(".xls"):
return xls_path
xlsx_path = xls_path.replace(".xls", ".xlsx")
# Open .xls file using xlrd
book = xlrd.open_workbook(xls_path)
new_book = Workbook()
new_book.remove(new_book.active)
for sheet_index in range(book.nsheets):
sheet = book.sheet_by_index(sheet_index)
new_sheet = new_book.create_sheet(title=sheet.name)
for row_idx in range(sheet.nrows):
for col_idx in range(sheet.ncols):
cell_value = sheet.cell(row_idx, col_idx).value
new_sheet.cell(row=row_idx + 1, column=col_idx + 1, value=cell_value)
new_book.save(xlsx_path)
print(f"Converted {xls_path} to {xlsx_path}")
return xlsx_path
def excel_to_pdf(excel_file, pdf_file = "output.pdf"):
excel_file = convert_xls_to_xlsx(excel_file) # Convert if .xls
workbook = load_workbook(excel_file, data_only=True)
c = canvas.Canvas(pdf_file)
for sheet_index, sheet in enumerate(workbook.worksheets):
print("hello")
num_columns = sheet.max_column
num_rows = sheet.max_row
page_size = A2 # page size, customize as needed
c.setPageSize(page_size)
if sheet_index > 0:
c.showPage()
page_width, page_height = page_size
y = page_height - 20 # Start from top
for row in sheet.iter_rows():
x = 10 # Start from left
for cell in row:
c.drawString(x, y, str(cell.value or ""))
x += 150 # Adjust column width
y -= 20 # Adjust row height
c.save()
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