API reference

Theme and palette

theme_depictr	Return the depictr plotnine theme.
scale_colour_depictr	A discrete colour scale drawn from depictr.palette.depictr_palette().
scale_fill_depictr	A discrete fill scale drawn from depictr.palette.depictr_palette().
legend_inside	Theme fragment that moves the legend into the plotting area.
depictr_palette	Return a depictr palette.
depictr_brand	Return the depictr brand colour as a hex string.
depictr_accent	Return the depictr accent colour as a hex string.

Accessibility

palette_safety	Check that a palette stays distinguishable under each deficiency.
simulate_cvd	Simulate how a palette appears under a colour-vision deficiency.

Exploratory analysis

explore_distribution	Plot the distribution of a numeric variable, optionally split by a group.
explore_categorical	Bar chart of a categorical variable, optionally grouped (dodged).
explore_bivariate	Plot the relationship between two columns, choosing the plot from their types.
scatter_trend	Scatter plot with a fitted trend line and confidence band.
correlation_heatmap	Heatmap of pairwise Pearson correlations among numeric columns.
missingness_map	Tile map of missing values, one column per variable and one row per record.
ecdf_plot	Empirical cumulative distribution function, one step curve per group.
ridgeline_plot	Overlapping densities, one ridge per group level.
dumbbell_plot	Dumbbell plot pairing two group values per category.
outlier_plot	Box plot of one variable with outliers flagged in the accent colour.
group_comparison_plot	Group means with confidence intervals over the raw points.
raincloud_plot	Raincloud plot of a numeric variable, optionally split by a group.
explore_pairs	Scatter-plot matrix over a few numeric columns.

Estimation and tables

estimation_plot	Cumming-style estimation plot of mean differences.
summary_table	Build a "Table 1" descriptive summary.

Model estimates

coefficient_plot	Forest (dot-and-whisker) plot of model coefficients.
tidy_estimates	Coerce a fitted model or an estimate table into one tidy frame.
effects_plot	Predicted response as one predictor varies, with a confidence band.
interaction_plot	Predicted response across x for each level of a categorical group.
compare_models	Dodged forest comparing each coefficient across several models.
random_effects_plot	Caterpillar plot of the predicted random effects (BLUPs).
posterior_plot	Forest plot of posterior (or bootstrap) draws.
frequentist_bayesian_plot	Overlay a frequentist estimate against a Bayesian posterior per term.
power_curve_plot	Line plot of statistical power against sample size.

Diagnostics

qq_plot	Normal quantile-quantile plot of the residuals, with a reference line.
influence_plot	Bubble plot of studentised residuals against leverage.
vif_plot	Horizontal bar chart of the variance inflation factor per predictor.
binned_residual_plot	Binned residual plot for a binomial GLM (Gelman & Hill, 2007).
residual_diagnostics_plot	Four-panel residual report for a fitted OLS or GLM.
model_report	One-figure dashboard pairing the coefficient plot with key diagnostics.

Classification

roc_curve_plot	ROC curve with the area under the curve (AUC) annotated.
pr_curve_plot	Precision-recall curve with the average precision (AP) annotated.
confusion_matrix_plot	Confusion-matrix heatmap.
calibration_plot	Reliability (calibration) curve of predicted vs observed frequencies.
gain_plot	Cumulative gains chart: positives captured as more of the ranked population is targeted.
lift_plot	Cumulative lift chart.
threshold_plot	Sensitivity, specificity, precision and F1 across the decision threshold.

Multivariate

pca_plot	PCA biplot: observations on the first two components, with loading arrows.
scree_plot	Scree plot: variance explained per component, with the cumulative line.
cluster_plot	k-means clusters drawn on the first two principal components.
dendrogram_plot	Hierarchical-clustering dendrogram drawn from a scipy linkage.
silhouette_plot	Silhouette widths per observation, grouped and ordered by cluster.

Survival

survival_plot

Kaplan-Meier survival curves, optionally by group, with a log-rank test.

Time series

acf_plot	Autocorrelation or partial autocorrelation as a stem plot.
decompose_plot	Seasonal decomposition as a stacked, facetted figure.
seasonal_plot	Seasonal subseries plot: value by position in the period, one line per cycle.
timeseries_plot	The series as a line, optionally with a rolling-mean overlay.

Composition and data

arrange_plots	Arrange several plots into one composed figure.
save_plot	Save a depictr/plotnine plot at publication resolution.
crop_yield	A field trial with a genuine fertiliser-by-treatment interaction.
wellbeing_survey	A cross-sectional survey with informative missingness in income.
lexical_decision	A priming reaction-time/accuracy experiment.
clinical_trial	A two-arm trial with separating survival curves and a rare adverse event.