Change marker colors based on values - Python

📊 Plotly Python
1

I want to change the marker colors based on values , so i tried the below piece of code

    import pandas as pd
    df = pd.read_csv("E:/values.csv")
    def SetColor(x):
        if(x < 100):
            return "orange"
        elif(100<= x <=200):
            return "white"
        elif(x > 200):
            return "black"


    import plotly.offline as pyo
    import plotly.graph_objs as go
    trace1 = go.Scatter(
                        x=df['Date'], y=df['Show1'], # Data
                        line = dict(color=list(map(SetColor, df['Show1']))),
                        mode='markers',name='Show1' # Additional options
                       )

    fig = go.Figure(data=[trace1], layout=layout)
    pyo.plot(fig,filename='final_plot.html')

But i am getting below error msge

    ValueError: 
        Invalid value of type 'builtins.list' received for the 'color' property of scatter.line
            Received value: ['black', 'black', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'white', 'white', 'white', 'white', 'white', 'white', 'white', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'white', 'white', 'white', 'white', 'white', 'white', 'white', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'white', 'white', 'white', 'white', 'white', 'white', 'white', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'white', 'white', 'white', 'white', 'white', 'white', 'white', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'white', 'white', 'white', 'white', 'white', 'white', 'white', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'white', 'white', 'white', 'white', 'white', 'white', 'white', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'white', 'white', 'white', 'white', 'white', 'white', 'white', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'white', 'white', 'white', 'white', 'white', 'white', 'white', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'white', 'white', 'white', 'white', 'white', 'white', 'white', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'white', 'white', 'white', 'white', 'white', 'white', 'white', 'white', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'white', 'white', 'white', 'white', 'white', 'white', 'white', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'white', 'white', 'white', 'white', 'white', 'white', 'white', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'white', 'white', 'white', 'white', 'white', 'white', 'white', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'black', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange', 'orange']

What am i missing here

2

@rasika You got that error because you declared mode='markers', but instead giving marker colors you gave a list of colors for line. line admits only one color, not a list.

If you had in mind to get something like the figure generated by this trace definition:

trace1 = go.Scatter(x=df['Date'], y=df['Show1'], 
                    mode='markers+lines', name='Show1',
                    marker = dict(size=8, color=list(map(SetColor, df['Show1']))),
                    line=dict(color='rgb(200,200,200)'
                       ))

then you have to change only the marker size, and line color you want for your plot. Otherwise, please give more details on what color do you want to assign to a line, let us say, from a value <100 to one greater than 200.