LaTeX, LLMs and Boring Technology

1 comments

• gbacon 2 days ago

  TikZ is definitely nice. For generating vector versions of your matplotlib plots, use FigureCanvasPgf.

  https://matplotlib.org/stable/api/backend_pgf_api.html#matpl...

  In Jupyter, that looks like

      !sudo apt-get -y install \
        texlive-xetex texlive-fonts-recommended texlive-plain-generic \
        texlive-latex-extra texlive-fonts-recommended dvipng cm-super \
        >/dev/null
  
      import matplotlib
  
      from matplotlib.backends.backend_pgf import FigureCanvasPgf
      matplotlib.backend_bases.register_backend('pdf', FigureCanvasPgf)
  
      import matplotlib.pyplot as plt
      from pdf2image import convert_from_path
  
      plt.rcParams.update({
          'font.family': 'serif',
          'font.serif': [],
          'font.size': 8,
          'text.usetex': True,
          'pgf.rcfonts': False,
      })
  

  Using `convert_from_path` is for showing cached images.

  Generate your figure with

      plt.savefig('foo.pdf', transparent=True)