如何正确显示 plotly density_mapbox？

Posted 2023-02-18

【中文标题】如何正确显示 plotly density_mapbox？

【英文标题】：How to correctly display plotly density_mapbox?

【发布时间】：2021-05-08 17:07:33

【问题描述】：

我开始学习情节色标。 我有这个代码：

import plotly.express as px
import plotly.graph_objects as go 
import plotly.io as pio
pio.renderers.default = 'firefox'


fig = px.density_mapbox(df_chestie_psq_2018, lat='Lat', lon='Long', z='Psq', radius=30,
                                                        center=go.layout.mapbox.Center (
                                   lat=44.439663,
                                   lon=26.096306
                                ), zoom=10, color_continuous_scale= [
                [0.0, "green"],
                [0.5, "green"],
                [0.51111111, "yellow"],
                [0.71111111, "yellow"],
                [0.71111112, "red"],
                [1, "red"]],
                        opacity = 0.5
                        )
fig.update_layout(mapbox_style="dark", mapbox_accesstoken='some_token')
fig.update_layout(margin=dict(b=0, t=0, l=0, r=0))
fig.show()

df_chestie_psq_2018 是一个数据帧，我想通过 Psq 区分该数据帧中的值。问题是它显示了以下地图：

问题是绿色应该是主色，如您所见，它显示红色。另外，如果我放大，颜色会消失。我只想看到一些值之间的绿色值，其他值是黄色，剩下的是红色。但我可以成功地做到这一点。

具有相同问题且易于重现的简单示例：

import plotly.io as pio
import plotly.express as px
import json
import pandas as pd
import plotly.graph_objects as go 
import plotly.figure_factory as ff
import plotly.express as px


df = px.data.carshare()


fig = px.density_mapbox(df, lat='centroid_lat', lon='centroid_lon', z='car_hours', radius=30,
             color_continuous_scale= [
                [0.0, "green"],
                [0.5, "green"],
                [0.51111111, "yellow"],
                [0.71111111, "yellow"],
                [0.71111112, "red"],
                [1, "red"]],
                        opacity = 0.5
                        )


fig.update_layout(mapbox_style="carto-darkmatter")
fig.update_layout(margin=dict(b=0, t=0, l=0, r=0))

fig.show()

我只想根据 car_hours 值查看绿色、红色和黄色。

【问题讨论】：

嗨，您介意生成mcve吗？特别是，为了重现它，我们需要您共享数据。

编辑：我添加了可以复制的代码

【参考方案1】：

您应该改用 scatter_mapbox

import plotly.io as pio
import plotly.express as px
import json
import pandas as pd
import plotly.graph_objects as go 
import plotly.figure_factory as ff
import plotly.express as px


df = px.data.carshare()


fig = px.scatter_mapbox(df, lat='centroid_lat', lon='centroid_lon', color='car_hours',
             color_continuous_scale= [
                [0.0, "green"],
                [0.5, "green"],
                [0.51111111, "yellow"],
                [0.71111111, "yellow"],
                [0.71111112, "red"],
                [1, "red"]],
                        opacity = 0.5
                        )


fig.update_layout(mapbox_style="carto-darkmatter")
fig.update_layout(margin=dict(b=0, t=0, l=0, r=0))

fig.show()

enter image description here