A command line tool for visualizing CSV/spreadsheet-like data

PerfPlotter

Read data from CSV files using pandas and generate interactive plots using bokeh, which can then be embedded into HTML pages and served by server-client applications (or at least allow them to be viewed on a browser).

Environment

• Python 3.8.x
• macOS 10.15.x
• Firefox 88.x

Setup

1. Clone and cd into the perfplotter directory
2. Install dependencies

   $ pipenv install --dev --python=/path/to/python3.8
   
   

3. Install pre-commit hooks

   $ pre-commit install
   $ pre-commit run --all-files
   
   

   • Optional: pre-commit autoupdate
4. Activate virtual environment
5. In the same directory as setup.py, install *perfplotter as an editable dependency:

   $ pip install -e .
   
   

   • Use bare pip here to exclude perfplotter from the Pipfile* (which is under version control)
   • Do pipenv clean to really

      

      

      

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