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Description
Pre-releases for plotnine 0.16.0 are now being published to PyPI. This is an early opportunity to try out new features as they're being developed. Some more features will be added in subsequent releases.
Installation
uv pip install --pre plotnine
pip install --pre plotnineKey Features
Improved Plot Composition
Building on the composition system introduced in v0.15.0, you can now have finer control over how plots are arranged and annotated.
plot_layout - Customize the grid arrangement
Control the number of rows, columns, relative widths/heights, and fill order:
from plotnine import *
from plotnine.data import mtcars, mpg
from plotnine.composition import plot_layout, plot_annotation
p1 = ggplot(mtcars, aes("wt", "mpg")) + geom_point()
p2 = ggplot(mtcars, aes("factor(cyl)")) + geom_bar()
p3 = ggplot(mpg, aes("displ", "hwy")) + geom_point()
p4 = ggplot(mpg, aes("class")) + geom_bar() + coord_flip()
# Arrange 4 plots in a 2x2 grid with custom column widths
(p1 + p2 + p3 + p4) + plot_layout(ncol=2, widths=[2, 1])
# Control row heights
(p1 / p2 / p3) + plot_layout(heights=[2, 1, 1])
plot_annotation - Add titles and captions to compositions
Add a title, subtitle, caption, or footer to the entire composition:
cmp = (p1 | p2) / p3
cmp + plot_annotation(
title="Vehicle Comparisons",
subtitle="Analyzing weight, cylinders, and displacement",
caption="Data: mtcars and mpg datasets"
)
You can also theme the composition annotations:
cmp + plot_annotation(
title="My Dashboard",
theme=theme(
plot_title=element_text(size=16, face="bold"),
figure_size=(10, 8)
)
)
New footer label plots and compositions
Plots can now have a footer, set via labs() and styled with theme:
(
ggplot(mtcars, aes("wt", "mpg"))
+ geom_point()
+ labs(
title="Fuel Efficiency",
caption=(
"I installed an alpha release of plotnine and now I also carry the weighty \n"
"burden of distinguishing captions from footers. I doubt I will get far."
),
footer=f"Source: Motor Trend 1974 {" "*96} By: Plotnine v0.16.0a3 User",
)
+ theme(
plot_caption=element_text(color="brown"),
plot_footer=element_text(color="#333"),
plot_footer_background=element_rect(fill="#F2F2F2"),
plot_footer_line=element_line(color="black", size=0.5)
)
)
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