Package: manim-weighted-line
Manim Weighted LineA plugin for creating weighted network graphs in ManimTable of contents:Manim Weighted LineTable of contents:Installation.What does Manim-Weighted-Line do?How do I use Manim-Weighted-Line?Take a look at the examplesHow to contactInstallation.You can install via pip:pip install manim-weighted-lineYou can also clone the repo and install it from here:git clone https://github.com/mutable-learning/manim-weighted-line.git
cd manim-weighted-line
python -m pip install .orgit clone https://github.com/mutable-learning/manim-weighted-line.git
cd manim-weighted-line 
python -m pip install -e .What does Manim-Weighted-Line do?This is a simple plugin that is designed to meet the needs of manim users who want to
create weighted network graphs in Manim. There is no easy way to add weightings to
the edges of graphs in Manim, so this plugin provides a simple solution for both
undirected and directed graphs.How do I use Manim-Weighted-Line?After installing the plugin, you can start using it by running:from manim import *
from manim_weighted_line import *for examplefrom manim import *
from manim_weighted_line import *

class SimpleExample(Scene):
    def construct(self):
        weighted_line = WeightedLine(
            0,
            1,
            weight=4,
        )
        self.add(weighted_line)and we getTo use this line in your graphs, pass the configuration to the edge object and use the WeightedLine as the edge_type.from manim import *
from manim_weighted_line import *

class WeightedGraph(Scene):
    def construct(self):
        vertices = [1, 2, 3, 4, 5, 6, 7, 8]
        edges = [(1, 7), (1, 8), (2, 3), (2, 4), (2, 5),
                 (2, 8), (3, 4), (6, 1), (6, 2),
                 (6, 3), (7, 2), (7, 4)]
        g = DiGraph(vertices, edges, layout="circular", layout_scale=3,
                  labels=True, vertex_config={7: {"fill_color": RED}},
                  edge_type=WeightedLine,
                  edge_config={(1, 7): {"stroke_color": RED, 'weight': 2},
                               (7, 2): {"stroke_color": RED, 'weight': 0},
                               (7, 4): {"stroke_color": RED, 'weight': 5}})
        self.add(g)and we getIf you are using NetworkX to create your graph, you can use the WeightedLine as the edge_type and pass it config options in the edge_config dictionary:from manim import *
from manim_weighted_line import *
import networkx as nx

class NetworkXGraph(Scene):
    def construct(self):
        G = nx.Graph()
        G.add_nodes_from([1, 2, 3, 4, 5, 6, 7, 8])
        G.add_weighted_edges_from([(1, 7, 2), (1, 8, 3), (2, 3, 4), (2, 4, 5), (2, 5, 6),
                 (2, 8, 1), (3, 4, 5), (6, 1, 0), (6, 2, 11),
                 (6, 3, 15), (7, 2, 3), (7, 4, 9)])
        g = Graph(G.nodes, G.edges, layout="circular", layout_scale=3,
                  labels=True, vertex_config={7: {"fill_color": RED}},
                  edge_type=WeightedLine,
                  edge_config= {(u, v): G.get_edge_data(u, v) for u, v in G.edges},
        )
        self.add(g)and we getTake a look at the examplesInside the examples folder, you can find some examples of how to use the plugin with different types of graphs, both undirected and directed. You can see how to configure different options for the weight label and the background. Check them out!https://github.com/mutable-learning/manim-weighted-line/assets/112732721/92efecf1-097f-4431-aa12-d1f7030abe36https://github.com/mutable-learning/manim-weighted-line/assets/112732721/70c08377-817d-4a93-b2f7-2b5d94e52baehttps://github.com/mutable-learning/manim-weighted-line/assets/112732721/54ce7490-a04e-4842-9c4f-4c35e83d128eHow to contactYou can open issues and pull requests, but if you want to contact me directly you can go to:Email:MutableLearning@gmail.comYouTube:https://www.youtube.com/channel/UCMq14ztdWTLvhCR2j4h_3zA