Export Pandas DataFrame into a PDF file using Python

Question

What is an efficient way to generate PDF for data frames in Pandas?

Answer 1

This is a solution with an intermediate pdf file.

The table is pretty printed with some minimal css.

The pdf conversion is done with weasyprint. You need to pip install weasyprint.

# Create a pandas dataframe with demo data:
import pandas as pd
demodata_csv = 'https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv'
df = pd.read_csv(demodata_csv)

# Pretty print the dataframe as an html table to a file
intermediate_html = '/tmp/intermediate.html'
to_html_pretty(df,intermediate_html,'Iris Data')
# if you do not want pretty printing, just use pandas:
# df.to_html(intermediate_html)

# Convert the html file to a pdf file using weasyprint
import weasyprint
out_pdf= '/tmp/demo.pdf'
weasyprint.HTML(intermediate_html).write_pdf(out_pdf)

# This is the table pretty printer used above:

def to_html_pretty(df, filename='/tmp/out.html', title=''):
    '''
    Write an entire dataframe to an HTML file
    with nice formatting.
    Thanks to @stackoverflowuser2010 for the
    pretty printer see https://stackoverflow.com/a/47723330/362951
    '''
    ht = ''
    if title != '':
        ht += '
 %s 
\n' % title
    ht += df.to_html(classes='wide', escape=False)

    with open(filename, 'w') as f:
         f.write(HTML_TEMPLATE1 + ht + HTML_TEMPLATE2)

HTML_TEMPLATE1 = '''





'''

HTML_TEMPLATE2 = '''


'''

Thanks to @stackoverflowuser2010 for the pretty printer, see stackoverflowuser2010's answer https://stackoverflow.com/a/47723330/362951

I did not use pdfkit, because I had some problems with it on a headless machine. But weasyprint is great.