MGraph¶

Qualified name: manim\_dsa.m\_graph.m\_graph.MGraph

class MGraph(graph, nodes_position={}, style=<manim_dsa.constants.MGraphStyle._DefaultStyle object>)[source]¶

Bases: VDict, Labelable

Manim Graph: a class for visualizing the graph data structure using the Manim animation engine.

Parameters:

graph (GraphType) – The graph representation, which can be weighted or unweighted. Can be: - list[list[str]] or dict[str, list[str]] for unweighted graph - list[list[tuple[str, str | int]]] or dict[str, list[tuple[str, str | int]]] for weighted graph
nodes_position (dict[str, Vector3D], optional) – A dictionary mapping node labels to their positions as 3D vectors. Defaults to an empty dict.
style (MGraphStyle._DefaultStyle, optional) – The style configuration to be applied to the graph. Defaults to MGraphStyle.DEFAULT.

Methods

`add_curved_edge`	Adds a new curved edge between two nodes in the graph.
`add_edge`	Adds a new edge between two nodes in the graph.
`add_label`	Adds a label to the graph with specified alignment and buffer.
`add_node`	Adds a new node to the graph with a specified name and position.
`node_layout`	Applies a specified layout algorithm to arrange the nodes in the graph.
`set_edges_highlight`	This method iterates through all the edges in the graph and applies the specified highlight color and stroke width.
`set_nodes_highlight`	This method iterates through all the nodes in the graph and applies the specified highlight color and stroke width.
`show_backward_edge`

Inherited Attributes

`animate`	Used to animate the application of any method of `self`.
`color`
`depth`	The depth of the mobject.
`fill_color`	If there are multiple colors (for gradient) this returns the first one
`height`	The height of the mobject.
`n_points_per_curve`
`sheen_factor`
`stroke_color`
`width`	The width of the mobject.

class CurvedEdge(line, node1, node2, arrow, start_distance, node_angle=1.0471975511965976, arc_angle=1.0471975511965976)[source]¶

Bases: Edge

Represents a curved edge in the graph, connecting two nodes with an arc.

Parameters:

line (ArcBetweenPoints) – The ArcBetweenPoints object representing the edge.
node1 (Circle) – The start node (circle) of the edge.
node2 (Circle) – The destination node (circle) of the edge.
arrow (ArrowTriangleFilledTip or None) – The arrow tip to be added to the edge, if any.
node_angle (float, optional) – The angle between the line connecting the nodes and the direction of the arc. Defaults to PI/3.
arc_angle (float, optional) – The angle of the arc between the two nodes. Defaults to PI/3.
start_distance (float)

weighted(label, label_distance=0.3)[source]¶

Assigns a label (the weight) to the edge and positions it relative to the edge.

Parameters:

label (Text) – The label to be assigned to the edge.
label_distance (float, optional) – The distance from the edge to position the label. Defaults to 0.3.

Returns:

The instance of the MGraph.Edge with the applied highlight.ssigned label.

Return type:

self

class Edge(line, start, end, arrow)[source]¶

Bases: VGroup, Highlightable, ABC

An abstract class that represents an edge in the graph.

Parameters:

line (Line or ArcBetweenPoints) – The line or arc that visually represents the edge between two nodes.
start (Point3D) – The starting point of the edge.
end (Point3D) – The ending point of the edge.
arrow (ArrowTriangleFilledTip or None) – The arrow tip to be added to the edge, if any.

is_weighted()[source]¶

Checks if the edge is weighted by examining the presence of a label.

Returns:: True if the edge has a label (indicating it is weighted), False otherwise.
Return type:: bool

set_highlight(stroke_color=ManimColor('#FC6255'), stroke_width=8)[source]¶

Sets the highlight properties for the edge.

Parameters:

stroke_color (ManimColor, optional) – The color to be used for highlighting the edge. Defaults to RED.
stroke_width (float, optional) – The width of the stroke used for highlighting. Defaults to 8.

Returns:

The instance of the MGraph.Edge with the applied highlight.

Return type:

self

weighted(label)[source]¶

Assigns a label to the edge, indicating that it is weighted.

Parameters:: label (Text) – The label to be assigned to the edge, representing its weight or any other relevant information.
Returns:: The instance of the MGraph.Edge with the applied highlight.
Return type:: self

class Node(circle, label)[source]¶

Bases: VGroup, Highlightable

A class that represents a node (or vertex) of the graph.

Parameters:

circle (Circle) – The circular shape that visually represents the node.
label (Text) – The text label associated with the node.

get_radius()[source]¶

Returns the radius of the node’s circle.

Returns:: The radius of the node’s circle.
Return type:: float

class StraightEdge(line, node1, node2, arrow, start_distance)[source]¶

Bases: Edge

Represents a straight edge in the graph, connecting two nodes with a straight line.

Parameters:

line (Line) – The Line object representing the edge.
node1 (Circle) – The start node (circle) of the edge.
node2 (Circle) – The destination node (circle) of the edge.
arrow (ArrowTriangleFilledTip or None) – The arrow tip to be added to the edge, if any.
start_distance (float)

weighted(label, label_distance=0.3)[source]¶

Assigns a label (the weight) to the edge and positions it relative to the edge.

Parameters:

label (Text) – The label to be assigned to the edge.
label_distance (float, optional) – The distance from the edge to position the label. Defaults to 0.3.

Returns:

The instance of the MGraph.Edge with the applied highlight.ssigned label.

Return type:

self

add_curved_edge(node1_name, node2_name, weight=None, label_distance=0.3, node_angle=1.0471975511965976, arc_angle=1.0471975511965976)[source]¶

Adds a new curved edge between two nodes in the graph.

Parameters:

node1_name (str) – The name of the first node.
node2_name (str) – The name of the second node.
weight (float, optional) – The weight of the edge. If not provided, the edge will be unweighted.
label_distance (float, optional) – The distance from the edge where the label should be placed. Defaults to 0.2.
node_angle (float, optional) – The start angle of the arc between the two nodes. Defaults to PI/3.
arc_angle (float, optional) – The angle of the arc between the two nodes. Defaults to PI/3.

Returns:

The updated instance of the MGraph with the new curved edge added.

Return type:

self

add_edge(node1_name, node2_name, weight=None, label_distance=0.25)[source]¶

Adds a new edge between two nodes in the graph.

Parameters:

node1_name (str) – The name of the first node.
node2_name (str) – The name of the second node.
weight (float, optional) – The weight of the edge. If not provided, the edge will be unweighted.
label_distance (float, optional) – The distance from the edge where the label should be placed. Defaults to 0.2.

Returns:

The updated instance of the MGraph with the new edge added.

Return type:

self

add_label(text, direction=array([0., 1., 0.]), buff=0.5, **kwargs)[source]¶

Adds a label to the graph with specified alignment and buffer.

Parameters:

text (Text) – The label text to be added to the graph.
direction (Vector3D, optional) – The direction in which the label should be positioned relative to the graph. Defaults to UP.
buff (float, optional) – The distance between the graph and the label. Defaults to 0.5.
**kwargs – Additional keyword arguments that are passed to the function next_to() of the underlying add_label method.

Returns:

The updated instance of the MGraph with the label added.

Return type:

self

add_node(name, position=array([0., 0., 0.]))[source]¶

Adds a new node to the graph with a specified name and position.

Parameters:

name (str) – The name of the node to be added.
position (Point3D, optional) – The 3D position where the node will be placed. Defaults to ORIGIN.

Returns:

The updated instance of the MGraph with the new node added.

Return type:

self

node_layout(layout='kamada_kawai_layout')[source]¶

Applies a specified layout algorithm to arrange the nodes in the graph.

Parameters:: layout (str, optional) – The name of the layout algorithm to be applied to the nodes. Defaults to ‘kamada_kawai_layout’. Other common layout options may include ‘spring_layout’, ‘circular_layout’, ‘shell_layout’, and others supported by the underlying graph library. A full list of available layouts can be found in the NetworkX documentation: https://networkx.org/documentation/stable/reference/drawing.html#module-networkx.drawing.layout
Returns:: The updated instance of the MGraph with nodes arranged according to the specified layout.
Return type:: self

set_edges_highlight(color=ManimColor('#FC6255'), width=8)[source]¶

This method iterates through all the edges in the graph and applies the specified highlight color and stroke width.

Parameters:

color (ManimColor, optional) – The color to be used for highlighting the edges. Defaults to RED.
width (float, optional) – The stroke width of the highlight. Defaults to 8.

Returns:

The updated instance of the MGraph with all edges highlighted.

Return type:

self

set_nodes_highlight(color=ManimColor('#FC6255'), width=8)[source]¶

This method iterates through all the nodes in the graph and applies the specified highlight color and stroke width.

Parameters:

color (ManimColor, optional) – The color to be used for highlighting the nodes. Defaults to RED.
width (float, optional) – The stroke width of the highlight. Defaults to 8.

Returns:

The updated instance of the MGraph with all nodes highlighted.

Return type:

self