plots Namespace Reference

Functions
	plot_APF (np.array APF, str name)
	Plot an accumulated persistence function.
	plot_APFs (list APFs, list APF_names, str fig_name)
	Plot a set accumulated persistence function, with automatic colour differentiation.
	plot_PD (dgm, str name)
	Plot a persistence diagram, with a specific colour.
	plot_PDs (dgms, str name)
	Plot several persistence diagrams, with automatic colour choices.
	plot_kernel_image_cokernel_PD (kicr, int d, bool codomain, bool kernel, bool image, bool cokernel, str name)
	Plot kernel, image, cokernel on same figure.
	generate_plots ()
	Generate plots for a single configuration.

Function Documentation

generate_plots()

plots.generate_plots

(

)

Generate plots for a single configuration.

Generate plots for a single configuration

This function generates persistence diagrams and APF plots for a single configuration. It creates empty lists to store the plots, then populates them based on enabled options.

The following plots can be generated:

• Persistence diagrams in dimensions 0,1,2 if enabled via pd0, pd1, pd2 flags
• Kernel/image/cokernel persistence diagrams if those computations are enabled
• APF plots in dimensions 0,1,2 if enabled via apf0, apf1, apf2 flags
• Kernel/image/cokernel APF plots if those computations are enabled

The plots are stored in st.session_state for later display.

Note

Requires that persistent homology has already been computed and stored in session state

plot_APF()

plots.plot_APF	(	np.array	APF,
		str	name )

Plot an accumulated persistence function.

Parameters

APF	- np.array with 2 columns of coordinates which define the APF
name	- title for the plot

Returns

a plotly.express figure

plot_APFs()

plots.plot_APFs	(	list	APFs,
		list	APF_names,
		str	fig_name )

Plot a set accumulated persistence function, with automatic colour differentiation.

Parameters

APFs	- accumlated persistence functions to plot

Returns

a matplotlib figure

plot_kernel_image_cokernel_PD()

plots.plot_kernel_image_cokernel_PD	(		kicr,
		int	d,
		bool	codomain,
		bool	kernel,
		bool	image,
		bool	cokernel,
		str	name )

Plot kernel, image, cokernel on same figure.

Parameters

kicr	oineus::KerImCokReduced
d	the dimension to extract (either 1 or 2)
kernel	bool to plot kernel
image	bool to plot image
cokernel	bool to plot cokernel

Returns

figu figure with the chosen PD diagrams

plot_PD()

plots.plot_PD	(		dgm,
		str	name )

Plot a persistence diagram, with a specific colour.

Points at infinity are plotted at a height of 1.1 times the last finite point to die.

Parameters

dgm	- pandas.DataFrame of the diagram
name	- name to use as title of the plot

Returns

a plotly.express figure

plot_PDs()

plots.plot_PDs	(		dgms,
		str	name )

Plot several persistence diagrams, with automatic colour choices.

Points at infinity are plotted at a height of 1.1 times the last finite point to die.

Parameters

dgms	- list of diagrams
name	- title to use for the plot

@results a plotly.express figure