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README.md
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README.md
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# Pyladoc
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## Description
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Pyladoc is a python package for programmatically generating HTML and
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PDF/LaTeX output. This package targets specifically applications where reports
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or results with Pandas-tables and Matplotlib-figures are generated
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to be displayed as website and as PDF document without involving any manual
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Pyladoc is a Python package for programmatically generating HTML and
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PDF/LaTeX output. This package specifically targets applications where reports
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or results with Pandas tables and Matplotlib figures are generated
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to be displayed as a website and as a PDF document without involving any manual
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formatting steps.
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This package focuses on the "Document in Code" approach for cases
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where a lot of calculations and data handling is done but not a lot of
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document text needs to be displayed. The multiline string capability of Python
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handles this very well. In comparison to "Code in Document"-templates
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python tools supports this approach out of the box - similar doch docstrings.
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handles this very well. In comparison to "Code in Document" templates,
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Python tools support this approach out of the box—similar to docstrings.
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As backend for PDF generation LaTeX is used. There are excellent engines for
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rendering HTML to PDF, but even if there is no requirement for an
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accurate typesetting and what not, placing programmatically content of variable
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composition and element sizes on fixed size pages without manual intervention
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LaTeX is used as the backend for PDF generation. There are excellent engines for
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rendering HTML to PDF, but even if there is no requirement for
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accurate typesetting, placing programmatically generated content of variable
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composition and element sizes on fixed-size pages without manual intervention
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is a hard problem where LaTeX is superior.
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## Example outputs
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@ -34,17 +34,17 @@ The documents are generated by the script [tests/test_rendering_example1_doc.py]
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- Tables (Pandas, Markdown or HTML)
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- Matplotlib figures
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- LaTeX equations (block or inline)
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- Named references for figures, tables and equations
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- Named references for figures, tables, and equations
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### Key Features
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- HTML and PDF/LaTeX rendering of the same document
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- Single file output including figures
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- Figure and equation embedding in HTML by inline SVG, SVG in Base64 or PNG in Base64
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- Figure and equation embedding in HTML by inline SVG, SVG in Base64, or PNG in Base64
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- Figure embedding in LaTeX as PGF/TikZ
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- Tested on Linux and Windows
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### Usage Scenarios
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- Webservices
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- Web services
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- Report generation for lab equipment
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## Installation
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@ -54,16 +54,21 @@ It can be installed with pip:
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pip install pyladoc
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```
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As well as with conda:
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```bash
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conda install conda-forge::pyladoc
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```
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## Dependencies
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Pyladoc depends on the markdown package.
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Optional dependencies are:
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- Matplotlib python package for rendering LaTeX equations for HTML output
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- Matplotlib Python package for rendering LaTeX equations for HTML output
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- LaTeX for exporting to PDF or exporting Matplotlib figures to LaTeX (PGF/TikZ rendering)
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- Pandas and Jinja2 for rendering pandas tables
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- Matplotlib for rendering matplotlib figures (obviously)
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- Pandas and Jinja2 for rendering Pandas tables
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- Matplotlib for rendering Matplotlib figures (obviously)
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For the included template the `miktex`-LaTeX distribution works on Windows
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For the included template, the `miktex` LaTeX distribution works on Windows
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and the following LaTeX setup works on Ubuntu (both tested in CI):
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```bash
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```
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## Usage
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It is easy to use as the following example code shows:
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It is easy to use, as the following example code shows:
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```python
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import pyladoc
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@ -108,7 +113,7 @@ doc.to_pdf('test.pdf')
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```
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## Contributing
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Contributions are welcome, please open an issue or submit a pull request on GitHub.
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Contributions are welcome; please open an issue or submit a pull request on GitHub.
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## Developer Guide
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To get started with developing the `pyladoc` package, follow these steps.
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@ -120,14 +125,14 @@ git clone https://github.com/Nonannet/pyladoc.git
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cd pyladoc
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```
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It's recommended to setup an venv:
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It's recommended to set up a venv:
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```bash
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python -m venv .venv
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source .venv/bin/activate # On Windows use `.venv\Scripts\activate`
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```
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Install the package and dev-dependencies while keeping files in the
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Install the package and development dependencies while keeping files in the
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current directory:
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```bash
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