Wrapper around plotting libraries for the terminal.
Project description
plottypus
!!! WORK IN PROGRESS !!!
This is an example (though perhaps useful) project to demonstrate how to use various plotting libraries in Python:
Installation
The application is (pip/uv/pipx-installable):
uv tool install plottypus
pipx install plottypus
pip install plottypus
Usage
Usage: plottypus [OPTIONS] [PATH]
Plot data from a file.
╭─ Arguments ─────────────────────────────────────────────────────────────────────────────────────────────────╮
│ path [PATH] The path to the file to read. [default: None] │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
╭─ Options ───────────────────────────────────────────────────────────────────────────────────────────────────╮
│ --type -t [auto|hist|scatter|heatmap|line|bar|hbar] The type of plot to create. [default: auto] │
│ -x TEXT The column to use for the x-axis. │
│ [default: None] │
│ -y TEXT The column(s) to use for the y-axis. │
│ [default: None] │
│ --backend -b [auto|plotext|plotille|physt] The plotting backend to use. [default: auto] │
│ --width -w INTEGER The width of the plot. [default: None] │
│ --height -h INTEGER The height of the plot. [default: None] │
│ --help Show this message and exit. │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
You can pipe in CSV or Parquet data, enabling a natural collaboration with other tools like duckdb or xsv.
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