Extensions

c.add_alluvial(…)

Categorical-state transitions over time: adjacent-layer flow ribbons (sankey for time series).

c.add_bland_altman(…)

Agreement plot: (a + b) / 2 vs (a − b) with bias and ±1.96 SD limits.

c.add_boxen(…)

Letter-value plot (boxenplot): nested quantile boxes for big-sample distribution detail.

c.add_bubble_grid(…)

Categorical dot matrix encoding two values per cell (size + color).

c.add_bump(…)

Ranked categorical lines over a sequence of periods (rank 1 at the top).

c.add_calendar_heatmap(…)

GitHub-style daily contribution grid, weeks × weekdays.

c.add_calibration(…)

Reliability diagram: predicted vs observed probability in bins; diagonal = perfect calibration.

c.add_cleveland_dot(…)

Horizontal dot at each category — Cleveland's perception-tested alternative to barh.

c.add_confusion_matrix(…)

Classifier evaluation heatmap: counts (or row-normalized rates) of true vs predicted class.

c.add_crossbar(…)

Three horizontal lines (lo / mid / hi) per category — clean summary overlay over strips/swarms.

c.add_diverging_bar(…)

Likert / score-vs-baseline bars going left or right of zero, colored by sign.

c.add_dumbbell(…)

Categorical before/after: two dots connected by a line per row, color-coded by direction.

c.add_eventplot(…)

Vertical or horizontal tick marks per row, for spike rasters / event timelines.

c.add_forest(…)

Meta-analysis: per-study estimate + CI bar + square-by-weight, pooled diamond at the bottom.

c.add_funnel_plot(…)

Meta-analysis funnel: effect vs standard error with ±1.96·SE envelope to spot publication bias.

c.add_gene_arrow(…)

Directional rectangles with arrowheads, per strand — for genomics tracks.

c.add_horizon(…)

Banded compressed time-series strip; folds large y-ranges into N progressively-shaded layers.

c.add_barh(…)

`barh` for long category labels.

jointplot(…)

Scatter with marginal histograms on top and right — composition recipe.

from plotlet.extensions.jointplot import jointplot

c.add_km(…)

Kaplan-Meier survival + Greenwood CI band; log-rank helper for two-group comparison.

c.add_loess(…)

LOESS local-regression smoother via statsmodels lowess (degree 1 + robustifying iterations).

c.add_lollipop(…)

Stem-and-circle chart for sparse comparisons; optional mini-lollipop legend entry.

c.add_ma(…)

RNA-seq MA plot: log₂ fold change vs mean log expression, with significance thresholds.

c.add_manhattan(…)