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Steps to draw a funnel chart using ECharts and Python interface
The funnel chart is a visual chart used to display multiple stages of data. It is usually used to represent Conversion rate or volume ratio at each stage in a process. Before using ECharts and Python interfaces to draw funnel charts, you need to install the corresponding libraries and plug-ins, and then follow the steps below.
Step 1: Install the necessary libraries and plug-ins
Before using ECharts and Python interfaces to draw funnel charts, you need to ensure that the corresponding libraries and plug-ins have been installed. First, you need to install the ECharts library of Python, which can be installed using the following command:
pip install pyecharts
In addition, you also need to install the echarts-gl plug-in officially provided by ECharts, which can be installed using the following command:
pip install echarts-gl
Step 2: Import the necessary libraries and modules
After installing the necessary libraries and plug-ins, you need to import the corresponding libraries and modules into the Python program, including the pyecharts and pyecharts.globals modules. Examples are as follows:
from pyecharts import options as opts from pyecharts.charts import Funnel from pyecharts.globals import ThemeType
Step 3: Prepare data
Before drawing the funnel chart, you need to prepare the corresponding data. Data can be stored using lists or dictionaries in Python. Suppose there is data about a sales funnel, including the names and quantities of each stage. The example is as follows:
data = [ ("访问", 15654), ("咨询", 12345), ("订单", 9523), ("点击", 7654), ("展现", 3421) ]
Step 4: Configure the funnel chart
Before drawing the funnel chart, you need to make the corresponding configuration, including the title, Topics, chart sizes, etc. An example is as follows:
funnel = ( Funnel(init_opts=opts.InitOpts(theme=ThemeType.LIGHT)) .add( series_name="", data_pair=data, gap=2, tooltip_opts=opts.TooltipOpts(trigger="item", formatter="{a} <br/>{b}: {c}"), label_opts=opts.LabelOpts(is_show=True, formatter="{b}: {c}") ) .set_global_opts( title_opts=opts.TitleOpts(title="销售漏斗图", subtitle="数据来源"), legend_opts=opts.LegendOpts(is_show=False) ) .set_series_opts(label_opts=opts.LabelOpts(position="inside")) )
Step 5: Generate funnel chart
Use the render method to generate the funnel chart into an HTML file or display it in Jupyter Notebook. An example is as follows:
funnel.render("funnel_chart.html")
At this point, all steps of drawing a funnel chart using ECharts and Python interfaces have been completed. You can get the final funnel chart by viewing the generated HTML file or displaying it in Jupyter Notebook.
Summary:
This article introduces the specific steps to draw a funnel chart using ECharts and Python interfaces, and provides corresponding code examples. Through the above steps, you can easily use ECharts and Python to draw a beautiful and practical funnel chart to display and analyze the data more intuitively and clearly.
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