Steps to draw a rose chart using ECharts and Python interface

The steps to draw a rose chart using ECharts and Python interface require specific code examples

The rose chart is a type of chart that visually displays data distribution. In data visualization Has a wide range of applications. This article will introduce how to draw a rose chart using ECharts and Python interfaces, and give corresponding code examples.

Step 1: Install and import the necessary libraries and modules
First, we need to install the relevant libraries and modules of ECharts and Python. You can use pip to enter the following command on the command line to install:

pip install pyecharts jupyter echarts

After the installation is complete, we can import the required libraries and modules in the Python script:

from pyecharts import options as opts
from pyecharts.charts import Pie
from pyecharts.globals import ThemeType

Step 2: Prepare data
The rose chart needs to provide a data set consisting of radius and angle. In this example, we will use a data collection containing sales for various departments.

data = [("销售部", 1200), ("市场部", 800), ("财务部", 600), ("生产部", 400), ("技术部", 200)]

Step 3: Create a rose chart instance and configure parameters
First, we create a rose chart instance object and configure some basic parameters, such as the chart's title, legend, theme, etc.

rose_chart = (
    Pie(init_opts=opts.InitOpts(theme=ThemeType.WESTEROS))
    .set_global_opts(title_opts=opts.TitleOpts(title="部门销售额玫瑰图"))
    .set_series_opts(label_opts=opts.LabelOpts(font_size=12,formatter="{b}: {c}"))
)

Specifies a theme named "Western Knights" through the init_opts parameter, and sets the title of the chart through the title_opts parameter.

Step 4: Add data to the rose chart
Next, we add data to the rose chart. By using the add function, we can add the data collection to the chart and configure some display parameters, such as angle range, radius range, etc.

rose_chart.add(
    "",
    data,
    radius=["20%", "80%"],
    center=["50%", "50%"],
    rosetype="area",
    label_opts=opts.LabelOpts(is_show=True),
)

Here, we set the radius range from 20% to 80%, and the center position is the center of the chart. Set the rosetype parameter to "area", which means drawing an area chart, and set the label display through the label_opts parameter.

Step 5: Generate and display the rose chart
Finally, we call the render function to generate the rose chart, and display the chart in Jupyter Notebook through the render_notebook function.

rose_chart.render_notebook()

After executing the above code, you can see the generated rose chart in Jupyter Notebook.

In summary, the steps to draw a rose chart using ECharts and Python interfaces mainly include: installing and importing necessary libraries and modules, preparing data, creating rose chart instances and configuring parameters, and adding data to the rose chart. , generate and display rose diagrams. Through the above steps, we can easily use ECharts and Python to draw a beautiful and intuitive rose chart.

Code example:

from pyecharts import options as opts
from pyecharts.charts import Pie
from pyecharts.globals import ThemeType

data = [("销售部", 1200), ("市场部", 800), ("财务部", 600), ("生产部", 400), ("技术部", 200)]

rose_chart = (
    Pie(init_opts=opts.InitOpts(theme=ThemeType.WESTEROS))
    .set_global_opts(title_opts=opts.TitleOpts(title="部门销售额玫瑰图"))
    .set_series_opts(label_opts=opts.LabelOpts(font_size=12,formatter="{b}: {c}"))
)

rose_chart.add(
    "",
    data,
    radius=["20%", "80%"],
    center=["50%", "50%"],
    rosetype="area",
    label_opts=opts.LabelOpts(is_show=True),
)

rose_chart.render_notebook()

Through the above code example, you can try to draw a rose chart in your own Python environment and adjust the parameters accordingly as needed.

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