funnel() got an unexpected keyword argument 'is_vertical'

如果你使用的是较早的版本的 plotly.express 库，可能不支持 `is_vertical` 参数，这时你可以使用 `orientation` 参数来实现漏斗图的竖向展示。

具体来说，你需要将 `orientation` 参数设置为 `"v"`，示例如下：

import plotly.express as px

data = dict(
    number=[1000, 600, 400, 200],
    stage=["访问网站", "注册账号", "付款", "购买"]
)

fig = px.funnel(data, x="number", y="stage", orientation="v")
fig.show()

在上述代码中，`orientation="v"` 参数指定漏斗图竖向展示。

相关问题

px.funnel的name 'px' is not defined

This error message means that you are trying to access the attribute 'funnel' of an object named 'px', but the variable 'px' has not been defined in your code.

To fix this error, you need to first define the variable 'px' and assign it to an object that has a 'funnel' attribute. For example:

class MyClass:
    funnel = "example funnel"

px = MyClass()
print(px.funnel)

This will create an instance of the `MyClass` class, assign it to the variable `px`, and then access its `funnel` attribute to print "example funnel".

Make sure that you have defined the object correctly and that the variable name is spelled correctly in your code.

# 绘制漏斗图 from pyecharts.charts import Funnel data = pd.read_excel(r"C:\Users\xiao'lu\西安.xlsx") x_data = data['评分'].tolist() y_data = data['热度'].tolist() data = [[x_data[i], y_data[i]] for i in range(len(x_data))] funnel = (Funnel() .add('', data_pair=data,label_opts=opts.Label0pts( position='inside', formatter='{b}:{d}%'), gap=2, tooltip_opts=opts.Tooltip0pts(trigger='item'), itemstyle_opts=opts.ItemStyleOpts(border_color='#fff',border_width=1)) .set_global_opts(title_opts=opts.Title0pts(title='评分与热度的漏斗图'), legend_opts=opts.Legend0pts(pos_left='40%'))) funnel.render_notebook() 完善如上代码

你提供的代码中有一些语法错误，我帮你做了一些修改，完善后的代码如下：

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

data = pd.read_excel(r"C:\Users\xiao'lu\西安.xlsx")
x_data = data['评分'].tolist()
y_data = data['热度'].tolist()
data = [[x_data[i], y_data[i]] for i in range(len(x_data))]

funnel = (
    Funnel()
    .add(
        '',
        data_pair=data,
        label_opts=opts.LabelOpts(
            position='inside',
            formatter='{b}:{d}%',
        ),
        gap=2,
        tooltip_opts=opts.TooltipOpts(trigger='item'),
        itemstyle_opts=opts.ItemStyleOpts(border_color='#fff', border_width=1)
    )
    .set_global_opts(
        title_opts=opts.TitleOpts(title='评分与热度的漏斗图'),
        legend_opts=opts.LegendOpts(pos_left='40%')
    )
)

funnel.render_notebook()

注意，上述代码中，我们引入了 `pyecharts` 库，通过 `Funnel()` 类绘制漏斗图。在 `add()` 方法中，我们传入了数据对，指定了标签和提示框的格式，以及设置了项样式选项和间隔大小。在 `set_global_opts()` 方法中，我们设置了标题和图例的选项。最后，我们通过 `render_notebook()` 方法将漏斗图渲染到 Jupyter Notebook 中。