动态更新颜色栏标题 - Plotly

Update dynamically colorbar title - Plotly

我正在尝试根据按钮选择更新颜色条标题,但到目前为止没有成功。

这是我的代码:

import numpy as np
import plotly.graph_objects as go

df = pd.DataFrame(np.array([['Germany', 2, 3], ['United States', 5, 6], ["Italy", 8, 9]]),
                   columns=['country', 'data_a', 'data_b'])

fig = go.Figure(data=go.Choropleth(
    locations = df['country'],
    z = df['data_a'],
    text = df['country'],
    colorscale = 'Teal',
    autocolorscale=False,
    reversescale=False,
    marker_line_color='black',
    marker_line_width=0.3,
    colorbar_title = '<b>data_a_title</b>',
    locationmode ='country names'
))

#update map style
fig.update_layout(
    geo=dict(
        showframe=False,
        showcoastlines=True,
        projection_type='equirectangular'
    )
)
 

#dropdown menu
button1 =  dict(method = "update",
                args = [{'z': [ df["data_a"] ] },
                       {"colorbar":{"title":"data_a_title"}}],
                label = "data_a")
button2 =  dict(method = "update",
                args = [{'z': [ df["data_b"] ]},
                       {"colorbar_title":'data_b_title'}],
                label = "data_b")


fig.update_layout(width=700,
                  coloraxis_colorbar_thickness=23,
                  updatemenus=[dict(y=0.2,
                                    x=1,
                                    xanchor='right',
                                    yanchor='bottom',
                                    active=0,
                                    buttons=[button1, button2])
                              ]) 

fig.show(config={"displayModeBar": False, "showTips": False})

如你所见,我试过这个: {"colorbar":{"title":"data_a_title"}}

{"colorbar_title":'data_b_title'}

但其中 none 有效。知道我错过了什么吗?

谢谢!

对于 chorpeth,颜色条标题是轨迹的一部分,而不是布局的一部分。因此,您的按钮定义变为:

#dropdown menu
button1 =  dict(method = "update",
                args = [{'z': [ df["data_a"] ], "colorbar":{"title":{"text":"data_a_title"} }},
                       {}],
                label = "data_a")
button2 =  dict(method = "update",
                args = [{'z': [ df["data_b"] ], "colorbar":{"title":{"text":"data_b_title"} }},

                       {}],
                label = "data_b")

理解这一点的最简单方法是查看 fig.datafig.layout 以了解

的结构