How to generate dendrogram using ECharts and Python interface

Method of generating dendrogram using ECharts and Python interface

Summary:
In recent years, data visualization has played an increasingly important role in various fields. effect. ECharts is a powerful data visualization library, and Python is a widely used programming language. Combining the two we can achieve a simple, flexible and beautiful tree diagram. This article will introduce how to generate a dendrogram using ECharts and Python interfaces, and provide specific code examples.

Step 1: Install ECharts
First, we need to install ECharts for use in Python. Through the following command, we can use pip to quickly install ECharts:

pip install echarts-python

Step 2: Create data
Before generating the dendrogram, we need to provide the corresponding data. Typically, data for dendrograms is given in the form of nodes and edges of a tree. Each node has a unique identifier and associated properties. In the example, we will create a simple family tree to illustrate the structure of the data. Here is an example of our data:

data = [
    {"id": "1", "name": "John", "parent": ""},
    {"id": "2", "name": "Mary", "parent": "1"},
    {"id": "3", "name": "David", "parent": "1"},
    {"id": "4", "name": "Tom", "parent": "2"},
    {"id": "5", "name": "Lucy", "parent": "2"},
    {"id": "6", "name": "Peter", "parent": "3"}
]

Step Three: Process the Data
Before passing the data to ECharts, we need to do some processing on it. We will use a dictionary to store the information for each node and create a node list and an edge list for later use. The following is our sample code for processing data:

nodes = []
links = []

for item in data:
    node = {"name": item["name"]}
    if item["parent"]:
        link = {"source": item["parent"], "target": item["id"]}
        links.append(link)
    nodes.append(node)

graph = {"nodes": nodes, "links": links}

Step 4: Use ECharts to draw a dendrogram
After preparing the data, we can start using ECharts to draw a dendrogram. The following is a simple sample code for drawing the family tree we created earlier:

from pyecharts import options as opts
from pyecharts.charts import Tree

tree = (
    Tree(init_opts=opts.InitOpts(width="1000px", height="600px"))
    .add("", [tree_node], collapse_interval=2)
    .set_global_opts(title_opts=opts.TitleOpts(title="Family Tree"))
)

tree.render("family_tree.html")

In the above example, we first created a Tree object and set the width and height of the chart. Then, we use the .add() method to add node and edge information, and set the .collapse_interval parameter to control the number of expanded and collapsed node layers. Finally, we set the title of the dendrogram using the .set_global_opts() method.

Through the tree.render() method, we can save the generated dendrogram as an HTML file and then open it in the browser to view the results.

Conclusion:
This article introduces the method of generating dendrograms using ECharts and Python interfaces, and provides detailed code examples. By combining the power of ECharts with the flexibility of Python, we can easily create beautiful and interactive tree diagrams to better display data and analysis results. I hope this article can provide readers with implementation methods and inspiration for tree diagrams, and discover more applications and innovations in practice.

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