plotnine is a statistical visualisation library based on the grammar of graphics, an approach popularised by ggplot2. It allows users to construct plots by combining data, graphical elements, scales, statistical transformations and presentation settings.
Rather than selecting a chart type and treating it as a fixed object, plotnine encourages plots to be assembled from independent components. A scatter plot can gain a fitted trend line, a statistical summary or another graphical layer without requiring a different plotting interface.
This compositional approach is particularly useful for exploratory analysis, reproducible research and statistical reporting. The library works with structured datasets and provides tools for mapping variables to graphical properties, comparing subsets of observations and controlling the appearance of the resulting figures.
This is free and open source software.
Key Features
- Grammar-of-graphics interface inspired by ggplot2.
- Construct plots by combining data mappings, graphical layers and presentation components.
- Create scatter, line, bar, area, histogram, density and box plots.
- Map dataset variables to position, colour, fill, size, shape and other aesthetics.
- Use statistical transformations for smoothing, binning, aggregation and distribution estimation.
- Apply faceting to divide observations into multiple panels.
- Control continuous, discrete and transformed scales.
- Customise coordinates, including flipped and other supported coordinate systems.
- Combine multiple graphical layers within a single plot.
- Add statistical summaries, fitted trends and reference lines.
- Customise axes, labels, guides and legends.
- Use themes to control typography, backgrounds, grid lines and other visual elements.
- Support common structured data workflows using pandas DataFrames.
- Define reusable plotting components for consistent graphics.
- Export figures to supported image and document formats.
- Use named colour palettes and configurable colour scales.
Website: github.com/has2k1/plotnine
Support:
Developer: Hassan Kibirige
License: GNU General Public License v2.0
plotnine is written in Python. Learn Python with our recommended free books and free tutorials.
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