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Data reports: Code for generating figures and tables

This repo contains five Jupyter notebooks in {MySt}NB Markdown format. They can be opend in Jupyter Notebook or Lab using the Jupytext extension. We use this format because

  • Jupytext notebooks are great for version control
  • MyST-flavoured can be integrated in a Sphinx homepage and treated like any other document

Running the notebooks

  • clone the corpus: git clone --recurse-submodules -j8 [email protected]:DCMLab/dcml_corpora.git
  • create new environment, make it visible to your Jupyter
    • for conda do conda create --name {name} python=3.10
    • activate it and install pip install ipykernel
    • ipython kernel install --user --name={name}
  • within the new environment, install requirements, e.g. pip install -r requirements.txt
  • open up jupyter notebook or jupyter lab and open the .md (documentation)
  • change the value ~/dcml_corpora in the second cell to your local clone.

If the plots are not displayed and you are in JupyterLab, use this guide.

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Code for generating figures and tables for data reports

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