使用 Plotly 将图例放置在地图下方

Question

我第一次尝试使用 Plotly 制作世界人口地图。剧情还好，就是传说离剧情太远了

我想请教以下方面的建议：1）如何缩小剧情与图例之间的差距，以及 2）如何将图例放置在图下方。

以下是我正在执行的步骤：

import pandas as pd
import plotly.express as px

url = 'https://en.wikipedia.org/wiki/List_of_countries_and_dependencies_by_population'
dfs = pd.read_html(url)
df = df.iloc[:, 1:3]

df = df[df['Location'] != 'World']

fig = px.choropleth(df, 
                     locations='Location', 
                     locationmode='country names', 
                     color='Population',
                     color_continuous_scale='Viridis_r', 
                     range_color=(df['Population'].min(), df['Population'].max()),
                     labels={'Population': 'Population'},
                     scope='africa')

fig.update_geos(showcountries=True, countrycolor="darkgrey")
fig.update_layout(
    title='Population by Country', 
    title_x=0.5, 
    geo=dict(showframe=False, showcoastlines=False, projection_type='equirectangular'),
    coloraxis_colorbar=dict(
        title='Population', 
        x=0, y=-0.1, 
        xanchor='left', yanchor='bottom',
        len=0.6
    )
)


fig.show()

提前致谢！

我尝试了现有答案中的方法，但这些方法不适用于我的案例。

Answer 1

要使颜色条水平，请将颜色条的方向设置为水平并设置所需的 x,y 位置。如果图形区域定义为“纸张”，则 xy 设置范围为 0 到 1。请参阅此处了解更多信息。

import pandas as pd
import plotly.express as px
import requests

url = 'https://en.wikipedia.org/wiki/List_of_countries_and_dependencies_by_population'

r = requests.get(url)
df_list = pd.read_html(r.text)
df = df_list[0]
df = df.iloc[1:, 1:3]

fig = px.choropleth(df, 
                     locations='Location', 
                     locationmode='country names', 
                     color='Population',
                     color_continuous_scale='Viridis_r', 
                     range_color=(df['Population'].min(), df['Population'].max()),
                     labels={'Population': 'Population'},
                     scope='africa')

fig.update_geos(showcountries=True, countrycolor="darkgrey")
fig.update_layout(
    title='Population by Country', 
    title_x=0.5, 
    geo=dict(showframe=False, showcoastlines=False, projection_type='equirectangular'),
    coloraxis_colorbar=dict(
        title='Population', 
        x=0, y=-0.1, 
        xanchor='left', yanchor='bottom',
        len=0.6
    )
)
fig.update_coloraxes(colorbar={'orientation':'h', 'thickness':20, 'y': -0.3, 'x':0.5, 'xanchor': 'center'})

fig.show()