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README.md
Pyladoc
Description
Pyladoc is a python package for programmatically generating HTML and PDF/LaTex output. This package targets specifically applications where reports or results with Pandas-tables and Matplotlib-figures are generated programmatically to be displayed as website and as PDF document without any manual formatting steps.
This package focuses on the "Document in Code" approach for cases where a lot of calculations and data handling is done but not a lot of document text needs to be displayed.
As backend for PDF generation LaTex is used. There are excellent engines for rendering HTML to PDF available, but even if there is no requirement for an accurate typesetting, placing programmatically content of variable composition and sizes on fixed size pages without manual intervention is a hard problem that LaTeX is very capable of.
Sported primitives
- Text (can be Markdown or HTML formatted)
- Headings
- Tables (Pandas, Markdown or HTML)
- Matplotlib figures
- LaTex equations
- Named references for figures, tables and equation
Key Features
- HTML and PDF/LaTex rendering of the same document
- Single file output including figures
- Figure and equation embedding in HTML by inline SVG, SVG in Base64 or PNG in Base64
- Figure embedding in LaTex as PGF/TikZ
Usage Scenarios
- Webservices
- Report generation for lab equipment
Installation
It can be installed with pip:
pip install pyladoc
Usage
It is easy to use as the following example code shows:
import pyladoc
doc = pyladoc.DocumentWriter()
doc.add_markdown("""
# Example
This is an example. The @table:pandas_example shows some random data.
""")
some_data = {
'Row1': ["Line1", "Line2", "Line3"],
'Row2': [120, 100, 110],
'Row3': ['12 g/km', '> 150 g/km', '110 g/km']
}
df = pd.DataFrame(some_data)
dw.add_table(df, 'This is a pandas example table', 'pandas_example')
html_code = doc.to_html()
doc.to_pdf('test.pdf')
Example outputs
The following documents are generated by tests/test_rendering_example_doc.py:
- HTML: test_html_render.html
- PDF: test_latex_render.pdf
Contributing
Contributions are welcome, please open an issue or submit a pull request on GitHub.
Developer Guide
To get started with developing the pyladoc
package, follow these steps.
First, clone the repository to your local machine using Git:
git clone https://github.com/Nonannet/pyladoc.git
cd pyladoc
It's recommended to setup an venv:
python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
Install the package and dev-dependencies while keeping files in the current directory:
pip install -e .[dev]
Ensure that everything is set up correctly by running the tests:
pytest
License
This project is licensed under the MIT License - see the LICENSE file for details.