Introduction
Basic concepts (7 min)
1D/2D plotting (8 min)
Short hands-on with Plotly (14 min)
If your goal is 1D or 2D plotting, then ParaView is really an overkill. You can create beautiful 1D/2D (and very simple 3D) graphics with Plotly, an open-source, commercially-supported package from a Montreal-based company with the same name. Plotly engine has a Python API and stores plots inside interactive HTML5 files that can be also be displayed in a Jupyter notebook.
You can find my Plotly notes with script examples here. Since our goal is learning 3D scientific visualization with ParaView, we include these notes as a side page for later reading for anyone interested in simpler plotting. If you go there, don’t forget to hit the Back button to return to this page!
Update: You can also run Plotly on westgrid.syzygy.ca from yesterday’s Jupyter course. Log in with your GitHub account here in your web browser, and then paste the Jupyter-specific codes from the Plotly notes. For any examples that read data from files, you will need to upload these files to your notebook (these can be found in the ZIP download).