如何解决为“颜色”属性接收的无效元素？

Question

我有一段代码，根据一天中观察到的时间，为散点图点提供各种颜色。这是根据以下代码完成的：

color=listCoords.index.hour

在上下文代码中：

return go.Figure(
        data=[
            # Data for all observations based on date and time
            Scattermapbox(
                lat=listCoords["Lat"],
                lon=listCoords["Lon"],
                mode="markers",
                hoverinfo="text + lat + lon",
                text=listCoords.index.hour,
                marker=dict(
                    showscale=True,
                    color=listCoords.index.hour,
                    opacity=np.where((listCoords['Threat'] == '3'), 0.1, 0.7), 
                    size=np.where((listCoords['Threat'] == '3'), 20, 7),
                    colorscale=[
                        [0, "#F4EC15"],
                        [0.04167, "#DAF017"],
                        [0.0833, "#BBEC19"],
                        [0.125, "#9DE81B"],
                        [0.1667, "#80E41D"],
                        [0.2083, "#66E01F"],
                        [0.25, "#4CDC20"],
                        [0.292, "#34D822"],
                        [0.333, "#24D249"],
                        [0.375, "#25D042"],
                        [0.4167, "#26CC58"],
                        [0.4583, "#28C86D"],
                        [0.50, "#29C481"],
                        [0.54167, "#2AC093"],
                        [0.5833, "#2BBCA4"],
                        [1.0, "#613099"],
                    ],
                    colorbar=dict(
                        title="Time of<br>Day",
                        x=0.93,
                        xpad=0,
                        nticks=24,
                        tickfont=dict(color="#d8d8d8"),
                        titlefont=dict(color="#d8d8d8"),
                        thicknessmode="pixels",
                    ),
                ),
            ),

我想将“color=”更改为：

color=np.where((listCoords['Threat'] == '3'), 'red', listCoords.index.hour)

so that the dots become 'red' if their 'Threat' value equals '3' otherwise "color" should just be 'listCoords.index.hour'

但这一新的代码更新提供了：

ValueError: 
    Invalid element(s) received for the 'color' property of scattermapbox.marker
        Invalid elements include: ['4', '4', '4', '4', '4', '4', '4', '4', '4', '4']

    The 'color' property is a color and may be specified as:
      - A hex string (e.g. '#ff0000')
      - An rgb/rgba string (e.g. 'rgb(255,0,0)')
      - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
      - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
      - A named CSS color:
            aliceblue, antiquewhite, aqua, aquamarine, azure,
            beige, bisque, black, blanchedalmond, blue,
            blueviolet, brown, burlywood, cadetblue,
            chartreuse, chocolate, coral, cornflowerblue....

QUESTION: So yes, it is expecting a CSS color obviously. But seeing that initially 'color=' did consider listCoords.index.hour as a value, how can I make this item consider that value again if not 'red'?

Answer 1

解决方案：

使用以下部件：

color=np.where((listCoords['Threat'] == '3'), 'red', listCoords.index.hour)

它输出了错误：

ValueError: 
    Invalid element(s) received for the 'color' property of scattermapbox.marker
        Invalid elements include: ['4', '4', '4', '4', '4', '4', '4', '4', '4', '4']

    The 'color' property is a color and may be specified as:
      - A hex string (e.g. '#ff0000')
      - An rgb/rgba string (e.g. 'rgb(255,0,0)')
      - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
      - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
      - A named CSS color:
            aliceblue, antiquewhite, aqua, aquamarine, azure,
            beige, bisque, black, blanchedalmond, blue,
            blueviolet, brown, burlywood, cadetblue,
            chartreuse, chocolate, coral, cornflowerblue....

为了解决这个问题，我改变了色标，说0=‘红色’（#FF0000）

随后，我说如果（'Threat==3'表示0），则表示常规颜色

我的新代码（仅已更新的部分）：

    red = 0
    mycolors = np.where((listCoords['Threat'] == '3'), red, listCoords.index.hour)
    print(mycolors)

及

  color=np.array(mycolors, int),
                colorscale=[
                    [0, "#FF0000"],
                    [0.04167, "#DAF017"],
                    [0.0833, "#BBEC19"],
                    [0.125, "#9DE81B"],
                    [0.1667, "#80E41D"],
                    [0.2083, "#66E01F"],
                    [0.25, "#4CDC20"],
                    [0.292, "#34D822"],
                    [0.333, "#24D249"],
                    [0.375, "#25D042"],
                    [0.4167, "#26CC58"],
                    [0.4583, "#28C86D"],
                    [0.50, "#29C481"],
                    [0.54167, "#2AC093"],
                    [0.5833, "#2BBCA4"],
                    [1.0, "#613099"],
                ],