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Gilfoyle is a report generation tool for Python which makes it quick and easy to create stylish looking reports or presentations using data.
You can install Gilfoyle by entering pip3 install gilfoyle
in your terminal.
Gilfoyle can be used within a regular Python script or from inside a Jupyter notebook. See the example.py
file for some working examples.
# Load packages
import pandas as pd
from gilfoyle import report
# Define output filename
pdf = report.Report(output='example.pdf')
# Set report title
pdf.set_title('Monthly ecommerce report')
# Create payload
payload = pdf.get_payload()
# Add a cover slide
payload = pdf.add_page(payload,
page_type='cover',
page_title='Monthly report',
page_subheading='Matt Clarke')
# Fetch your data
df = pd.read_csv('data.csv',
skiprows=1,
names=['Period', 'Entrances', 'Sessions', 'Pageviews',
'Transactions', 'Conversion Rate', 'AOV']).head(13)
payload = pdf.add_page(payload,
page_type='report',
page_layout='simple',
page_title='Organic search',
page_dataframe=df
)
# Save to PDF
pdf.create_report(payload, verbose=True, output='pdf')
Gilfoyle is written in Python 3 and uses the Jinja 2 templating engine, the Bulma HTML and CSS framework, and the Weasyprint PDF generator package. Gilfoyle is compatible with Pandas and can automatically turn your dataframes into tables.
FAQs
Gilfoyle is a Python-based report generator for data scientists who use Pandas.
We found that gilfoyle demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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