larvaworld.lib.plot.bar

Barplots

Functions

error_barplot(, **kwargs)	Create bar plots comparing error metrics across models.
intake_barplot(→ Any)	Create bar plot of food intake amounts.
barplot(→ Any)	Create bar plots with statistical comparisons across datasets.
auto_barplot(→ Any)	Create automatic bar plots with enhanced statistical annotations.

Module Contents

larvaworld.lib.plot.bar.error_barplot(error_dict: Dict[str, Any], evaluation: Dict[str, Any], labels: Dict[str, str] | None = None, name: str = 'error_barplots', titles: Sequence[str] = ('$\\bf{endpoint}$ $\\bf{metrics}$', '$\\bf{timeseries}$ $\\bf{metrics}$'), **kwargs: Any) → Any

Create bar plots comparing error metrics across models.

Generates multi-panel bar plots showing endpoint and timeseries error metrics for different model configurations with statistical comparisons.

Args:

error_dict: Dictionary of error DataFrames by metric type evaluation: Dictionary of evaluation metadata with group labels and colors labels: Custom labels for metric types. Defaults to metric keys name: Plot name for saving. Defaults to ‘error_barplots’ titles: Panel titles. Defaults to endpoint and timeseries labels **kwargs: Additional arguments passed to AutoBasePlot

Returns:

Plot output (figure object or None based on return_fig setting)

Example:

>>> fig = error_barplot(error_dict, evaluation, labels={'endpoint': 'Endpoints'})

larvaworld.lib.plot.bar.intake_barplot(**kwargs: Any) → Any

Create bar plot of food intake amounts.

Convenience wrapper for barplot() specifically for food amount (‘f_am’) parameter visualization across datasets.

Args:

**kwargs: Arguments passed to barplot()

Returns:

Plot output (figure object or None based on return_fig setting)

Example:

>>> fig = intake_barplot(datasets=[d1, d2], labels=['Control', 'Test'])

larvaworld.lib.plot.bar.barplot(ks: Sequence[str], coupled_labels: Sequence[str] | None = None, xlabel: str | None = None, leg_cols: Sequence[str] | None = None, **kwargs: Any) → Any

Create bar plots with statistical comparisons across datasets.

Generates bar plots for specified parameters showing mean values with error bars and p-values from t-tests between dataset pairs.

Args:

ks: Parameter keys to plot coupled_labels: Labels for paired comparisons. If provided, datasets

are grouped into pairs

xlabel: Custom x-axis label. Defaults to None leg_cols: Colors for legend items. Auto-generated if None **kwargs: Additional arguments passed to AutoPlot

Returns:

Plot output (figure object or None based on return_fig setting)

Example:

>>> fig = barplot(ks=['v', 'a'], datasets=[d1, d2], labels=['Control', 'Test'])

larvaworld.lib.plot.bar.auto_barplot(ks: Sequence[str], coupled_labels: Sequence[str] | None = None, xlabel: str | None = None, leg_cols: Sequence[str] | None = None, **kwargs: Any) → Any

Create automatic bar plots with enhanced statistical annotations.

Similar to barplot() but with enhanced automatic layout and statistical significance markers for paired comparisons. Shows asterisks for p <= 0.05.

Args:

ks: Parameter keys to plot coupled_labels: Labels for paired comparisons. If provided, datasets

are grouped into pairs

xlabel: Custom x-axis label. Defaults to None leg_cols: Colors for legend items. Auto-generated if None **kwargs: Additional arguments passed to AutoPlot

Returns:

Plot output (figure object or None based on return_fig setting)

Example:

>>> fig = auto_barplot(ks=['run_count'], coupled_labels=['Control', 'Treatment'])