How to create a funnel chart using ECharts and Python interface

How to use ECharts and Python interface to create a funnel chart

Introduction:
Data visualization is an important means of data analysis and data display, and the funnel chart is a commonly used A data visualization chart type that can visually display data changes and transformations through funnel charts. This article will introduce how to create a funnel chart using ECharts and Python interfaces, and provide detailed code examples.

1. Preparation
Before starting, we need to ensure that the necessary software and libraries have been installed:

1. Python 3.x version
2. ECharts Library: You can use the pip command to install, the command is: pip install pyecharts
3. Jupyter Notebook: used to write and run Python code

2. Import the required libraries and modules
Before we start drawing the funnel chart, we need to import the required libraries and modules. In this article, we will use the following libraries and modules:

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

3. Create the data for the funnel chart
Before creating the funnel chart, we need to prepare the data to be displayed. Funnel charts usually consist of multiple pieces of data, each representing data for a stage or step. In this article, we take the user conversion of the online shopping platform as an example, assuming the following data:

data = [("访问量", 100),
        ("注册量", 80),
        ("下单量", 60),
        ("支付量", 40),
        ("成交量", 20)]

IV. Drawing a funnel chart
Next, we will use the interface provided by the ECharts library to draw a funnel chart. The drawing process of a funnel chart includes the following steps:

1. Create a Funnel() object and set the title and width of the chart.

funnel = Funnel(init_opts=opts.InitOpts(width="800px", height="600px"))
funnel.set_global_opts(title_opts=opts.TitleOpts(title="用户转化漏斗图"))

2. Add funnel chart data. To add funnel chart data, use the add() method and specify the name and value of the data.

funnel.add("转化量", data)

3. Set the style of the funnel chart. You can use the set_series_opts() method to set the style of the funnel chart and specify parameters such as color and transparency. In this example, we will set the color gradient effect of the funnel chart.

funnel.set_series_opts(label_opts=opts.LabelOpts(color="rgba(0, 0, 0, 0)"),
                       itemstyle_opts=opts.ItemStyleOpts(
                           border_color="rgba(0, 0, 0, 0)",
                           border_width=0,
                           color=JsCode("""
                               function(params) {
                                   var colorList = [
                                       ['#FF7092', '#FF8FB8'],
                                       ['#FFB46E', '#FFC798'],
                                       ['#3ED2E6', '#4BDFF3'],
                                       ['#9AC86D', '#A2D47A'],
                                       ['#B6A2DE', '#BBAEE3']
                                   ];
                                   return new echarts.graphic.LinearGradient(
                                       0, 0, 0, 1,
                                       [{
                                           offset: 0, color: colorList[params.dataIndex][0]
                                       }, {
                                           offset: 1, color: colorList[params.dataIndex][1]
                                       }]
                                   )
                               }
                           """)
                       )
                       )

4. Generate and save a funnel chart. Finally, we use the render() method to generate the funnel chart into an html file and save it to the specified directory.

funnel.render("funnel_chart.html")

5. Run the code and view the results
Run the above code in Jupyter Notebook, the code will generate a file named "funnel_chart.html". We can open the file with a browser and see the generated funnel chart.

Conclusion:
This article introduces the steps of how to create a funnel chart using ECharts and Python interface, and provides detailed code examples. Through these code examples, readers can draw customized funnel charts based on their own needs and data, and apply them to data analysis and data presentation. I hope this article is helpful to readers, thank you!

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