API
Data Visualization
Visualisations.plot_phase_space
— Functionplot_phase_space(
ed::ExperimentData,
var_type::Symbol;
label,
color,
resolution,
kwargs...
) -> Tuple{Makie.Figure, Vector}
Plot phase space of var_type
for all trajectories in ed
. var_type
can be :states
, :observables
or :controls
.
Arguments
ed::ExperimentData
: ExperimentData objectvar_type::Symbol
::states
,:observables
or:controls
color::Tuple
: color of the lines. Default is(:orange, 0.1)
where0.1
is the alpha value.resolution::Tuple
: resolution of the figure. Default isnothing
which means(length(labels)-1).*(1000, 1000)
wherelabels
is the labels of thevar_type
.kwargs...
: keyword arguments passed toAxis
constructor
Returns
fig::Figure
: Makie figure objectaxs::Vector{Axis}
: vector of Makie axis objects
plot_phase_space(
Xs::AbstractVector{<:AbstractMatrix};
...
) -> Tuple{Makie.Figure, Vector}
plot_phase_space(
Xs::AbstractVector{<:AbstractMatrix},
labels;
title,
resolution,
color,
label,
fontsize,
kwargs...
) -> Tuple{Makie.Figure, Vector}
Arguments
Xs::AbstractVector{<:AbstractMatrix}
: vector of matrices of size(m, n)
wherem
is the number of dimensions andn
is the number of timepoints.labels::Vector
: list of labels of the dimensions of lengthm
.color::Tuple
: color of the lines. Default is(:orange, 0.1)
where0.1
is the alpha value.label
: label for the legendresolution::Tuple
: resolution of the figure. Default isnothing
which means(ndims-1).*(1000, 1000)
wherendims
is the number of dimensions.kwargs...
: keyword arguments passed toAxis
constructor
Visualisations.plot_phase_space!
— Functionplot_phase_space!(
fig::Makie.Figure,
axs::AbstractVector{<:Makie.Axis},
ed::ExperimentData,
var_type::Symbol;
color,
label,
kwargs...
) -> Tuple{Makie.Figure, AbstractVector{<:Makie.Axis}}
Plot phase space of var_type
for all trajectories in ed
. var_type
can be :states
, :observables
or :controls
.
Arguments
fig::Figure
: Makie figure objectaxs::Vector{Axis}
: vector of Makie axis objectsed::ExperimentData
: ExperimentData objectvar_type::Symbol
::states
,:observables
or:controls
color::Tuple
: color of the lines. Default is(:orange, 0.1)
where0.1
is the alpha value.kwargs...
: keyword arguments passed toAxis
constructor
Returns
fig::Figure
: Makie figure objectaxs::Vector{Axis}
: vector of Makie axis objects
plot_phase_space!(
fig::Makie.Figure,
axs::AbstractVector{<:Makie.Axis},
Xs::AbstractVector{<:AbstractMatrix};
color,
label,
labelsize,
kwargs...
) -> Tuple{Makie.Figure, AbstractVector{<:Makie.Axis}}
Arguments
fig::Figure
: Makie figure objectaxs::Vector{Axis}
: vector of Makie axis objectsXs::AbstractVector{<:AbstractMatrix}
: vector of matrices of size(m, n)
wherem
is the number of dimensions andn
is the number of timepoints.color::Tuple
: color of the lines. Default is(:orange, 0.1)
where0.1
is the alpha value.label
: label for the legendkwargs...
: keyword arguments passed toAxis
constructor
Visualisations.plot_traces
— Functionplot_traces(
ed::ExperimentData,
idx;
var_type,
color,
resolution,
kwargs...
) -> Makie.Figure
Plot traces of var_type
for trajectory idx
in ed
. var_type
can be :states
, :observables
or :controls
.
Arguments
ed::ExperimentData
: ExperimentData objectidx::Int
: index of the trajectoryvar_type::Symbol
::states
,:observables
or:controls
color::Tuple
: color of the lines. Default is(:black, 1)
where1
is the alpha value.resolution::Tuple
: resolution of the figure. Default isnothing
which means(1000, length(labels)*200)
wherelabels
is the labels of thevar_type
.kwargs...
: keyword arguments passed toAxis
constructor
Returns
fig::Figure
: Makie figure object
plot_traces(
ts::AbstractVector,
gt::AbstractMatrix,
pred::AbstractMatrix,
labels::AbstractVector;
resolution,
gt_color,
pred_color,
kwargs...
) -> Makie.Figure
Plot traces of gt
and pred
of m
dimensions and n
timepoints against time ts
with labels
.
Arguments
ts::Vector
: time vector of lengthn
,gt::Matrix
: ground truth matrix of size(m, n)
,pred::Matrix
: prediction matrix of size(m, n)
,labels::Vector
: labels for the traces of lengthm
,resolution::Tuple
: resolution of the figure. Default isnothing
which means(1000, length(labels)*200)
.kwargs...
: keyword arguments passed toAxis
constructor
Returns
fig::Figure
: Makie figure object
Data Generation Tuning
Visualisations.datagen_tuning_app
— Methoddatagen_tuning_app(; kwargs...)
Starts the DataGeneration tuning app.
Arguments
kwargs
: Optional keyword arugments forPlutoVSCodeApp.create_app
function call