将对象颜色绘制成相似图

Question

我尝试使用 plotly graph 对象绘制值，并使用一列设置颜色。

fig_1.add_trace(
    go.Scattermapbox(
            lat=data.latitude, 
            lon=data.longitude,
            marker=go.scattermapbox.Marker(size=9, color=data.id_nr),   
            )
        )

然而，这些值是非常大的数字（id 数字，int64），因此，彼此更接近的 id 数字（100k 不同而不是 1M）将显示几乎相同的颜色。

有没有办法将颜色设置为离散颜色？ 使用

... color=data.id_nr.astype(str)

在 Plotly Express 中用于使冷却器分离的方法不起作用。

Invalid element(s) received for the 'color' property of scattermapbox.marker

基本问题是：您能否设置每个值的颜色，无论增量有多近或多远，都获得独特的颜色？

编辑： id 值更像是：

id=[1,2,5,100004,100007,100009]

结合plotly连续上色，前三个和后三个颜色差不多。 Plotly Express 通过将（id 的）int 值更改为字符串来解决此问题，使它们离散。

编辑2：

一种解决方案是按 ID 分隔数据，然后为每个 ID 添加跟踪。然而，这不是......“性感”，我宁愿知道一个解决方案，可以离散地处理颜色。

Answer 1

我重新创建了数据并通过改编 official reference to your assignment. The format of the data is a data frame with three columns: id column, latitude and longitude, and location name. In the definition of the marker, I used the id column to define the color, and specified 'Viridis' as the color scale, which is a continuous color map. See this for a concrete example 在散点图中引入色标的示例创建了代码。

import pandas as pd
import plotly.express as px

lat = [38.91427,38.91538,38.91458,38.92239,38.93222,38.90842,38.91931,38.93260,38.91368,38.88516,38.921894,38.93206, 38.91275]
lon = [-77.02827,-77.02013,-77.03155,-77.04227,-77.02854,-77.02419,-77.02518,-77.03304,-77.04509,-76.99656,-77.042438,-77.02821,-77.01239]
name = ["The coffee bar","Bistro Bohem","Black Cat", "Snap","Columbia Heights Coffee","Azi's Cafe", "Blind Dog Cafe","Le Caprice","Filter","Peregrine","Tryst","The Coupe","Big Bear Cafe"]
ids =  [1,2,3,4,5001,5002,5003,5004,100004,100007,100009,100010,100011]
colors = px.colors.qualitative.Alphabet[:len(lat)]

df = pd.DataFrame({'id':ids, 'lat':lat,'lon':lon,'name':name,'colors': colors})

df.head()
    id  lat     lon     name    colors
0   1   38.91427    -77.02827   The coffee bar  #AA0DFE
1   2   38.91538    -77.02013   Bistro Bohem    #3283FE
2   3   38.91458    -77.03155   Black Cat   #85660D
3   4   38.92239    -77.04227   Snap    #782AB6
4   5001    38.93222    -77.02854   Columbia Heights Coffee     #565656

import plotly.graph_objects as go

mapbox_access_token = open("mapbox_api_key.txt").read()

fig = go.Figure(go.Scattermapbox(
        lat=df['lat'],
        lon=df['lon'],
        mode='markers',
        marker=go.scattermapbox.Marker(
            size=16,
            color=df['colors'],
            #colorscale='Viridis'
        ),
        text=df['name'],
    ))

fig.update_layout(
    autosize=False,
    width=1000,
    height=500,
    hovermode='closest',
    mapbox=dict(
        accesstoken=mapbox_access_token,
        bearing=0,
        center=dict(
            lat=38.92,
            lon=-77.07
        ),
        pitch=0,
        zoom=11
    ),
)

fig.show()

将对象颜色绘制成相似图

plotly graph object colors to similar

python

plot

plotly