API

PlantGeom.PhongType

Data structure for a mesh material that is used to describe the light components of a Phong reflection type model. All data is stored as RGBα for Red, Green, Blue and transparency.

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PlantGeom.RefMeshType
RefMesh(
    name::S
    mesh::SimpleMesh
    normals::N
    texture_coords::T
    material::M
    taper::Bool
)

RefMesh(name, mesh, material = RGB(220 / 255, 220 / 255, 220 / 255))

RefMesh type. Stores all information about a Mesh:

  • name::S: the mesh name
  • mesh::SimpleMesh: the actual mesh information -> points and topology
  • normals::Vector{Float64}: the normals, given as a vector of x1,y1,z1,x2,y2,z2...
  • texture_coords::Vector{Float64}: the texture coordinates (not used yet), idem, a vector
  • material::M: the material, used to set the shading
  • taper::Bool: true if tapering is enabled

The reference meshes are then transformed on each node of the MTG using a transformation matrix to match the actual mesh.

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PlantGeom.geometryType
geometry(; ref_mesh<:RefMesh, ref_mesh_index=nothing, transformation=Identity(), dUp=1.0, dDwn=1.0, mesh::Union{SimpleMesh,Nothing}=nothing)

A Node geometry with the reference mesh, its transformation (as a function) and optionnally the index of the reference mesh in the reference meshes data base (see notes) and the resulting mesh (optional to save memory).

Note

The refmesh usually points to a RefMesh stored in the `:refmeshes` attribute of the root node of the MTG.

Although optional, storing the index of the reference mesh (ref_mesh_index) in the database allows a faster writing of the MTG as an OPF to disk.

The transformation field should be a TransformsBase.Transform, such as TransformsBase.Identity, or the ones implemented in Meshes.jl, e.g. Translate, Scale... If you already have the transformation matrix, you can pass it to Meshes.Affine().

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Base.:==Method
==(a::geometry, b::geometry)

Test RefMeshes equality.

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Base.:==Method
==(a::RefMesh, b::RefMesh)

Test RefMesh equality.

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Base.:==Method
==(a::RefMeshes, b::RefMeshes)

Test RefMeshes equality.

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Meshes.nelementsMethod
nelements(meshes::RefMeshes)

Return the number of elements for each reference mesh as a vector of nelements

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Meshes.nelementsMethod
nelements(meshes::RefMeshes)

Return the number of elements of a reference mesh

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Meshes.nverticesMethod
nvertices(meshes::RefMeshes)

Return the number of vertices for each reference mesh as a vector of nvertices

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PlantGeom.color_typeMethod
color_type(color, opf)

Return the type of the color, whether it is an attribute, a colorant, or a RefMeshColorant.

Arguments

  • color: The color to be checked.
  • opf: The MTG to be plotted.

Returns

  • RefMeshColorant: If the color is :slategray3, then it is the default color given by Meshes,

so we assume nothing was passed by the user and color by reference mesh instead.

  • AttributeColorant: If the color is an attribute of the MTG, then we color by that attribute.
  • T: If the color is a colorant, then we color everything by that color.

Examples

using MultiScaleTreeGraph, PlantGeom, Colors

file = joinpath(dirname(dirname(pathof(PlantGeom))),"test","files","simple_plant.opf")

opf = read_opf(file)

# Colors:
color_type(:red, opf)
color_type(RGB(0.1,0.5,0.1), opf)

# Attributes:
color_type(:Length, opf)

# Default color:
color_type(:slategray3, opf)

# Dict of colors:
color_type(Dict(1=>RGB(0.1,0.5,0.1), 2=>RGB(0.5,0.1,0.1)), opf)
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PlantGeom.coordinates!Method
coordinates!(mtg; angle = 45; force = false)

Compute dummy 3d coordinates for the mtg nodes using an alterning phyllotaxy. Used when coordinates are missing. Coordinates are just node attributes with reserved names: :XX, :YY and :ZZ.

Returns

Nothing, mutates the mtg in-place (adds :XX, :YY and :ZZ to nodes).

Examples

file = joinpath(dirname(dirname(pathof(MultiScaleTreeGraph))),"test","files","simple_plant.mtg")
mtg = read_mtg(file)
coordinates!(mtg)
DataFrame(mtg, [:XX, :YY, :ZZ])
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PlantGeom.diagramFunction
diagram(opf::MultiScaleTreeGraph.Node; kwargs...)
diagram!(opf::MultiScaleTreeGraph.Node; kwargs...)

Make a diagram of the MTG tree using a Makie.jl backend.

Danger

This function is an extension to the package. It is only available if you imported a Makie backend (e.g. using GLMakie) prior to using PlantGeom.

The main attributes are:

  • color: the color of the nodes
  • colormap: the colormap used if the color uses an attribute. By default it uses viridis.

Must be a ColorScheme from ColorSchemes or a Symbol with its name.

Examples

using GLMakie, PlantGeom

file = joinpath(dirname(dirname(pathof(PlantGeom))),"test","files","simple_plant.opf")
# file = joinpath(dirname(dirname(pathof(PlantGeom))),"test","files","coffee.opf")

opf = read_opf(file)

diagram(opf)

# We can also color the 3d plot with several options:
# With one shared color:
diagram(opf, color = :red)

# Or colouring by opf attribute, *e.g.* using the nodes Z coordinates:
diagram(opf, color = :ZZ)
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PlantGeom.diagram!Function
diagram(opf::MultiScaleTreeGraph.Node; kwargs...)
diagram!(opf::MultiScaleTreeGraph.Node; kwargs...)

Make a diagram of the MTG tree using a Makie.jl backend.

Danger

This function is an extension to the package. It is only available if you imported a Makie backend (e.g. using GLMakie) prior to using PlantGeom.

The main attributes are:

  • color: the color of the nodes
  • colormap: the colormap used if the color uses an attribute. By default it uses viridis.

Must be a ColorScheme from ColorSchemes or a Symbol with its name.

Examples

using GLMakie, PlantGeom

file = joinpath(dirname(dirname(pathof(PlantGeom))),"test","files","simple_plant.opf")
# file = joinpath(dirname(dirname(pathof(PlantGeom))),"test","files","coffee.opf")

opf = read_opf(file)

diagram(opf)

# We can also color the 3d plot with several options:
# With one shared color:
diagram(opf, color = :red)

# Or colouring by opf attribute, *e.g.* using the nodes Z coordinates:
diagram(opf, color = :ZZ)
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PlantGeom.get_colorMethod
get_color(var <: AbstractArray, range_var, colormap=colorschemes[:viridis])
get_color(var, range_var, colormap=colorschemes[:viridis])

Map value(s) to colors from a colormap based on a range of values

Arguments

  • var: value(s) to map to colors
  • range_var: range of values to map to colors
  • colormap: colormap to use

Returns

  • color: color(s) corresponding to var

Examples

```julia using Colors

getcolor(1, 1:2, colormap = colorschemes[:viridis]) # returns RGB{N0f8}(0.267004,0.00487433,0.329415) getcolor(1:2, 1:10, colormap = colorschemes[:viridis]) # returns RGB{N0f8}(0.267004,0.00487433,0.329415) get_color(1:2, 1:10, 1, colormap = colorschemes[:viridis]) # returns RGB{N0f8}(0.267004,0.00487433,0.329415)

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PlantGeom.get_mtg_colorMethod
get_mtg_color(color, opf)

Return the color to be used for the plot.

Arguments

  • color: The color to be checked.
  • opf: The MTG to be plotted.

Returns

The color to be used for the plot.

Examples

using MultiScaleTreeGraph, PlantGeom, Colors
file = joinpath(dirname(dirname(pathof(PlantGeom))),"test","files","simple_plant.opf")
opf = read_opf(file)

get_mtg_color(:red, opf)
get_mtg_color(RGB(0.1,0.5,0.1), opf)
get_mtg_color(:Length, opf)
get_mtg_color(:slategray3, opf)
get_mtg_color(Dict(1=>RGB(0.1,0.5,0.1), 2=>RGB(0.1,0.1,0.5)), opf)
get_mtg_color(Dict(1 => :burlywood4, 2 => :springgreen4), opf)
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PlantGeom.get_ref_mesh_indexFunction
get_ref_mesh_index!(node, ref_meshes = get_ref_meshes(node))
get_ref_mesh_index(node, ref_meshes = get_ref_meshes(node))

Get the index of the reference mesh used in the current node.

Notes

Please use the ref_meshes argument preferably as not giving it make the function visit the root node each time otherwise, and it can become a limitation when traversing a big MTG.

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PlantGeom.get_ref_mesh_index!Function
get_ref_mesh_index!(node, ref_meshes = get_ref_meshes(node))
get_ref_mesh_index(node, ref_meshes = get_ref_meshes(node))

Get the index of the reference mesh used in the current node.

Notes

Please use the ref_meshes argument preferably as not giving it make the function visit the root node each time otherwise, and it can become a limitation when traversing a big MTG.

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PlantGeom.get_ref_meshesMethod
get_ref_meshes(mtg)

Get all reference meshes from an mtg, usually from an OPF.

Examples

using PlantGeom
file = joinpath(dirname(dirname(pathof(PlantGeom))),"test","files","simple_plant.opf")
opf = read_opf(file)
meshes = get_ref_meshes(opf)

using GLMakie
viz(meshes)
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PlantGeom.get_ref_meshes_colorMethod
get_ref_meshes_color(meshes::RefMeshes)

Get the reference meshes colors (only the diffuse part for now).

Examples

using MultiScaleTreeGraph, PlantGeom
file = joinpath(dirname(dirname(pathof(MultiScaleTreeGraph))),"test","files","simple_plant.opf")
opf = read_opf(file)
meshes = get_ref_meshes(opf)
PlantGeom.get_ref_meshes_color(meshes)
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PlantGeom.map_coordMethod
map_coord(f, mesh, coord)

Apply function f over the mesh coordinates coord. Values for coord can be 1 for x, 2 for y and 3 for z.

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PlantGeom.meshBDD_to_meshesMethod
meshBDD_to_meshes(x)

Examples

using MultiScaleTreeGraph
file = joinpath(dirname(dirname(pathof(MultiScaleTreeGraph))),"test","files","simple_plant.opf")
opf = read_opf(file)
meshBDD_to_meshes(opf[:meshBDD])
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PlantGeom.mtg_coordinates_dfFunction
mtg_coordinates_df(mtg, attr; force = false)
mtg_coordinates_df!(mtg, attr; force = false)

Extract the coordinates of the nodes of the mtg and the coordinates of their parents (:XXfrom, :YYfrom, :ZZ_from) and output a DataFrame. Optionally you can also provide an attribute to add to the output DataFrame too by passing its name as a symbol to attr.

The coordinates are computed using coordinates! if missing, or if force = true.

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PlantGeom.mtg_to_opf_linkMethod
mtg_to_opf_link(link)

Takes an MTG link as input ("/", "<" or "+") and outputs its corresponding link as declared in the OPF format ("decomp", "follow" or "branch")

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PlantGeom.mtg_topology_to_xml!Function
mtg_topology_to_xml!(node, xml_parent)

Write the MTG topology, attributes and geometry into XML format. This function is used to write the "topology" section of the OPF.

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PlantGeom.normals_vertexMethod
normals_vertex(mesh::Meshes.SimpleMesh)

Compute per vertex normals and return them as a StaticArrays.SVector.

#! This is a naive approach because I have no time right know. #! We just put the face mesh as a vertex mesh (and ovewritting values for common points)

TODO: Use a real computation instead. See e.g.:

https://stackoverflow.com/questions/45477806/general-method-for-calculating-smooth-vertex-normals-with-100-smoothness?noredirect=1&lq=1

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PlantGeom.parse_opf_arrayFunction

Parse an array of values from the OPF into a Julia array (Arrays in OPFs are not following XML recommendations)

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PlantGeom.parse_opf_elements!Method

Generic parser for OPF elements.

Arguments

  • opf::OrderedDict: the opf Dict (using [XMLDict.xml_dict])
  • elem_types::Array: the target types of the element (e.g. "[String, Int64]")

Details

elem_types should be of the same length as the number of elements found in each item of the subchild. elem_types = [Float64, Float64, Float64, Float64, Float64, Float64]

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PlantGeom.parse_opf_topology!Function
parse_opf_topology!(node, mtg, features, attr_type, mtg_type, ref_meshes, id_set=Set{Int}())

Parser of the OPF topology.

Arguments

  • node::ElementNode: the XML node to parse.
  • mtg::Union{Nothing,Node}: the parent MTG node.
  • features::Dict: the features of the OPF.
  • attr_type::DataType: the type of the attributes to use.
  • mtg_type::DataType: the type of the MTG to use.
  • ref_meshes::Dict: the reference meshes.
  • read_id::Bool: whether to read the ID from the OPF or recompute it on the fly.
  • max_id::RefValue{Int64}=Ref(1): the ID of the first node, if read_id==false.

Note

The transformation matrices in geometry are 3*4.

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PlantGeom.read_opfMethod
read_opf(file; attr_type = Dict, mtg_type = MutableNodeMTG)

Read an OPF file, and returns an MTG.

Arguments

  • file::String: The path to the opf file.
  • attr_type::DataType = Dict: the type used to hold the attribute values for each node.
  • mtg_type = MutableNodeMTG: the type used to hold the mtg encoding for each node (i.e.

link, symbol, index, scale). See details section below.

  • read_id::Bool = true: whether to read the ID from the OPF or recompute it on the fly.
  • max_id::RefValue{Int64}=Ref(1): the ID of the first node, if read_id==false.

Details

attr_type should be:

  • NamedTuple if you don't plan to modify the attributes of the mtg, e.g. to use them for

plotting or computing statistics...

  • MutableNamedTuple if you plan to modify the attributes values but not adding new attributes

very often, e.g. recompute an attribute value...

  • Dict or similar (e.g. OrderedDict) if you plan to heavily modify the attributes, e.g.

adding/removing attributes a lot

The MultiScaleTreeGraph package provides two types for mtg_type, one immutable (NodeMTG), and one mutable (MutableNodeMTG). If you're planning on modifying the mtg encoding of some of your nodes, you should use MutableNodeMTG, and if you don't want to modify anything, use NodeMTG instead as it should be faster.

Note

See the documentation of the MTG format from the MTG package documentation for further details, e.g. The MTG concept.

Returns

The MTG root node.

Examples

using PlantGeom
file = joinpath(dirname(dirname(pathof(PlantGeom))),"test","files","simple_plant.opf")
# file = joinpath(dirname(dirname(pathof(PlantGeom))),"test","files","coffee.opf")
opf = read_opf(file)
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PlantGeom.read_opsMethod
read_ops(file; attr_type=Dict{String,Any}, mtg_type=MutableNodeMTG)

Reads an OPS file and returns the content as a MultiScaleTreeGraph.

Arguments

  • file::String: Path of the .ops file to read.
  • attr_type::Type=Dict{Symbol,Any}: Type of the attributes to use.
  • mtg_type::Type: Type of the MTG to use, e.g. NodeMTG or MutableNodeMTG.

Returns

A MultiScaleTreeGraph of the scene, with the OPFs as children of the scene node. The dimension of the scene is available in the scene_dimensions attribute of the scene node. Each root node of the OPFs has a scene_transformation attribute that stores the transformation applied to the OPF by the scene. It allows updating the scene transformations and write the scene back to disk. The OPF root node also has the following attributes:

  • sceneID::Int: Scene ID.
  • plantID::Int: Plant ID.
  • filePath::String: Path to the original .opf file.
  • pos::Meshes.Point: Position of the object.
  • scale::Float64: Scale of the object.
  • inclinationAzimut::Float64: Inclination azimut of the object.
  • inclinationAngle::Float64: Inclination angle of the object.
  • rotation::Float64: Rotation of the object.
  • functional_group::String: Functional group of the object.

Details

Node IDs of the OPFs are recomputed at import to ensure their uniqueness in the larger scene MTG.

Example

using CairoMakie, PlantGeom
joinpath(pathof(PlantGeom) |> dirname |> dirname, "test", "files", "scene.ops") |> read_ops |> viz
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PlantGeom.read_ops_fileMethod
read_ops_file(file)

Read the content of an .ops file and return a tuple with the scene dimensions and the object table.

Arguments

  • file::String: Path of the .ops file to read.

Returns

The scene dimensions and the object table as a tuple. The scene dimensions are a tuple of two Meshes.Point with the origin point and opposite point of the scene. The object table is an array of NamedTuple with the following fields:

  • sceneID::Int: Scene ID.
  • plantID::Int: Plant ID.
  • filePath::String: Path to the .opf file.
  • pos::Meshes.Point: Position of the object.
  • scale::Float64: Scale of the object.
  • inclinationAzimut::Float64: Inclination azimut of the object.
  • inclinationAngle::Float64: Inclination angle of the object.
  • rotation::Float64: Rotation of the object.
  • functional_group::String: Functional group of the object.
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PlantGeom.refmesh_to_meshFunction
refmesh_to_mesh!(node)
refmesh_to_mesh(node)

Compute a node mesh based on the reference mesh, the transformation matrix and the tapering. The mutating version adds the new mesh to the mesh field of the geometry attribute of the node.

Examples

using PlantGeom
file = joinpath(dirname(dirname(pathof(PlantGeom))),"test","files","simple_plant.opf")
opf = read_opf(file)

node = opf[1][1][1]

new_mesh = refmesh_to_mesh(node)

using GLMakie
viz(new_mesh)
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PlantGeom.refmesh_to_mesh!Function
refmesh_to_mesh!(node)
refmesh_to_mesh(node)

Compute a node mesh based on the reference mesh, the transformation matrix and the tapering. The mutating version adds the new mesh to the mesh field of the geometry attribute of the node.

Examples

using PlantGeom
file = joinpath(dirname(dirname(pathof(PlantGeom))),"test","files","simple_plant.opf")
opf = read_opf(file)

node = opf[1][1][1]

new_mesh = refmesh_to_mesh(node)

using GLMakie
viz(new_mesh)
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PlantGeom.taperMethod

Returns a tapered mesh using dDwn and dUp based on the geometry of an input mesh. Tapering a mesh transforms it into a tapered version (i.e. pointy) or enlarged object, e.g. make a cone from a cylinder.

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PlantGeom.transform_mesh!Method
transform_mesh!(node::Node, transformation)

Add a new transformation to the node geometry transformation field. The transformation is composed with the previous transformation if any.

transformation must be a function.

It is also possible to invert a transformation using revert from Meshes.jl.

Examples

using PlantGeom, MultiScaleTreeGraph, GLMakie, Rotations, Meshes

file = joinpath(dirname(dirname(pathof(PlantGeom))), "test", "files", "simple_plant.opf")
opf = read_opf(file)

# Visualize the mesh as is:
viz(opf)

# Copy the OPF, and translate the whole plant by 15 in the y direction (this is in cm, the mesh comes from XPlo):
opf2 = deepcopy(opf)
transform!(opf2, x -> transform_mesh!(x, Translate(0, 15, 0)))
viz!(opf2) # Visualize it again in the same figure

# Same but rotate the whole plant around the X axis:
opf3 = deepcopy(opf)
transform!(opf3, x -> transform_mesh!(x, Rotate(RotX(0.3))))
# NB: we use Rotations.jl's RotX here. Input in radian, use rad2deg and deg2rad if needed.
viz!(opf3)

# Same but rotate only the second leaf around the Z axis:
opf4 = deepcopy(opf)
# Build the meshes from the reference meshes (need it because we want the coordinates of the parent):
transform!(opf4, refmesh_to_mesh!)

# Get the second leaf in the OPF:
leaf_node = get_node(opf4, 8)

# Get the parent node (internode) Z coordinates:
parent_zmax = zmax(leaf_node.parent)

# Define a rotation of the mesh around the Z axis defined by the parent node max Z:
transformation = recenter(Rotate(RotZ(1.0)), Point(0.0, 0.0, parent_zmax))

# Update the transformation matrix of the leaf and its mesh:
transform_mesh!(leaf_node, transformation)

# Plot the result:
viz(opf)
viz!(opf4)
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PlantGeom.write_opfMethod
write_opf(file, opf)

Write an MTG with explicit geometry to disk as an OPF file.

Notes

Node attributes :ref_meshes and :geometry are treated as reserved keywords and should not be used without knowing their meaning:

  • :ref_meshes: a RefMeshes structure that holds the MTG reference meshes.
  • :geometry: a geometry instance

Examples

using PlantGeom
file = joinpath(dirname(dirname(pathof(PlantGeom))),"test","files","simple_plant.opf")
opf = read_opf(file)
write_opf("test.opf", opf)
opf2 = read_opf("test.opf")
viz(opf2)
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PlantGeom.write_opsMethod
write_ops(file, scene_dimensions, object_table)

Write a scene file (.ops), with the given dimensions and object table.

Arguments

  • file::String: Path of the .ops file to write.
  • scene_dimensions::Tuple{Meshes.Point{3,T},Meshes.Point{3,T}}: Dimensions of the scene.
  • object_table: Table with the objects to write in the .ops file. The table may have the following columns:
    • sceneID::Int: Scene ID (mandatory).
    • plantID::Int: Plant ID (mandatory).
    • filePath::String: Path to the .opf file (mandatory).
    • pos::Meshes.Point{3,T}: Position of the object (mandatory).
    • functional_group::String: Functional group of the object, used to map the object to the models (mandatory).
    • scale::T: Scale of the object (optional, 0.0 as default).
    • inclinationAzimut::T: Inclination azimut of the object (optional, 0.0 as default).
    • inclinationAngle::T: Inclination angle of the object (optional, 0.0 as default).
    • rotation::T: Rotation of the object (optional, 0.0 as default).

Details

object_table can be of any format that implement the Tables.jl interface, e.g. an array of NamedTuples, a DataFrame...

Example

```julia using Meshes using Tables using PlantGeom

scenedimensions = (Meshes.Point(0.0, 0.0, 0.0), Meshes.Point(100.0, 100.0, 100.0)) positions = [Meshes.Point(50.0, 50.0, 50.0), Meshes.Point(60.0, 60.0, 60.0), Meshes.Point(70.0, 70.0, 70.0)] objecttable = [ (sceneID=1, plantID=p, filePath="opf/plantp.opf", pos=positions[p], functionalgroup="plant", rotation=0.1) for p in 1:3 ]

writeops("scene.ops", scenedimensions, object_table)

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PlantGeom.xmaxFunction
xmax(x)
ymax(x)
zmax(x)

Get the maximum x, y or z coordinates of a mesh or a Node.

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PlantGeom.xminFunction
xmin(x)
ymin(x)
zmin(x)

Get the minimum x, y or z coordinates of a mesh or a Node.

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PlantGeom.ymaxFunction
xmax(x)
ymax(x)
zmax(x)

Get the maximum x, y or z coordinates of a mesh or a Node.

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PlantGeom.yminFunction
xmin(x)
ymin(x)
zmin(x)

Get the minimum x, y or z coordinates of a mesh or a Node.

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PlantGeom.zmaxFunction
xmax(x)
ymax(x)
zmax(x)

Get the maximum x, y or z coordinates of a mesh or a Node.

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PlantGeom.zminFunction
xmin(x)
ymin(x)
zmin(x)

Get the minimum x, y or z coordinates of a mesh or a Node.

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RecipesBase.plotFunction
plot(opf::MultiScaleTreeGraph.Node; kwargs...)
plot!(opf::MultiScaleTreeGraph.Node; kwargs...)

Make a diagram of the MTG tree, paired with a Plots.jl backend.

See also diagram for the same plot with a Makie.jl backend.

Attributes

  • mode = "2d": The mode for plotting, either "2d" or "3d"
  • node_color = :black: the node color, can be a color or any MTG attribute
  • edge_color = node_color: same as node_color, but for the edges
  • colormap = :viridis: the colormap used for coloring
  • color_missing = RGBA(0, 0, 0, 0.3): The color used for missing values

Examples

# import Pkg; Pkg.add("PlotlyJS")
using Plots, PlantGeom
plotlyjs()

file = joinpath(dirname(dirname(pathof(PlantGeom))),"test","files","simple_plant.opf")
# file = joinpath(dirname(dirname(pathof(PlantGeom))),"test","files","coffee.opf")

opf = read_opf(file)

plot(opf, node_color = :Length)
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RecipesBase.plot!Function
plot(opf::MultiScaleTreeGraph.Node; kwargs...)
plot!(opf::MultiScaleTreeGraph.Node; kwargs...)

Make a diagram of the MTG tree, paired with a Plots.jl backend.

See also diagram for the same plot with a Makie.jl backend.

Attributes

  • mode = "2d": The mode for plotting, either "2d" or "3d"
  • node_color = :black: the node color, can be a color or any MTG attribute
  • edge_color = node_color: same as node_color, but for the edges
  • colormap = :viridis: the colormap used for coloring
  • color_missing = RGBA(0, 0, 0, 0.3): The color used for missing values

Examples

# import Pkg; Pkg.add("PlotlyJS")
using Plots, PlantGeom
plotlyjs()

file = joinpath(dirname(dirname(pathof(PlantGeom))),"test","files","simple_plant.opf")
# file = joinpath(dirname(dirname(pathof(PlantGeom))),"test","files","coffee.opf")

opf = read_opf(file)

plot(opf, node_color = :Length)
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