Convert CSV Data to PDF in Python

readme.md

Convert CSV Data to PDF in Python

Learn how Python developers can turn CSV data into PDF reports with Aspose.PDF for Python via .NET. The guide covers SDK installation, reading CSV via pandas, creating PDF tables, optimizing large files, and validating output, with code and best‑practice tips.

Read the full guide here: https://blog.aspose.com/pdf/convert-csv-data-to-pdf-in-python/

csv_to_pdf.py

# Complete working code for CSV to PDF conversion

import pandas as pd
import aspose.pdf as ap

# Load CSV data using pandas
csv_path = "sample_data.csv"
df = pd.read_csv(csv_path)

# Create a new PDF document
pdf_doc = ap.Document()
page = pdf_doc.pages.add()

# Create a table with the same number of columns as the CSV
table = ap.Table()
table.column_widths = "100" * len(df.columns)   # Simple equal width for each column

# Add header row
header_row = ap.Row()
for col_name in df.columns:
    cell = ap.Cell()
    cell.paragraphs.add(ap.TextFragment(col_name, ap.Font(name="Helvetica", size=12, bold=True)))
    header_row.cells.add(cell)
table.rows.add(header_row)

# Add data rows
for _, row in df.iterrows():
    data_row = ap.Row()
    for item in row:
        cell = ap.Cell()
        cell.paragraphs.add(ap.TextFragment(str(item), ap.Font(name="Helvetica", size=10)))
        data_row.cells.add(cell)
    table.rows.add(data_row)

# Add the table to the page
page.paragraphs.add(table)

# Save the PDF document
output_path = "output.pdf"
pdf_doc.save(output_path)

print(f"PDF generated successfully at {output_path}")