Colors within a 'Parcat', with Plotly

I had some difficulties giving color to a 'parcat'. My intentions were to have the last diagram displayed as different colors (for each variable a color). To make this happen I've read the particular documentation for the 'parcat'(plotly.parcat), and have followed the documentation, but I get an error which I can't fix. This is my code:

import plotly.graph_objs as go
import pandas as pd
# Create dimensions
sex_dim = go.parcats.Dimension(
    values = tips_df['sex'],
    label = "Sex",
    categoryorder = "category ascending"
)

smoker_dim = go.parcats.Dimension(
    values = tips_df['smoker'], 
    label = "Smoker")

day_dim = go.parcats.Dimension(
    values = tips_df['day'], 
    label = "Day",
    categoryorder = "category ascending"
)

time_dim = go.parcats.Dimension(
    values = tips_df['time'], 
    label = "Time",
    categoryorder = "category ascending"
)

size_dim = go.parcats.Dimension(
    values = tips_df['size'], 
    label = "Size",
    categoryorder = "category ascending"
)

quantized_total_bill = go.parcats.Dimension(
    values = tips_df['quantized_total_bill'], 
    label = "Quantized total bill",
    categoryorder = "category ascending"
)

quantized_tip = go.parcats.Dimension(
    values = tips_df['quantized_tip'], 
    label = "Quantized tip",
    categoryorder = "category ascending", 
    categoryarray=[0, 1, 2],
)

# Create parcats trace
color = tips_df.quantized_tip;
colorscale = [[0, 'lightsteelblue'], [1, 'mediumseagreen'], [2, 'yellow']];



# Create parcats trace

fig = go.Figure(data = [go.Parcats(dimensions=[sex_dim, smoker_dim, day_dim, time_dim, size_dim,
                                               quantized_total_bill, quantized_tip],
                                               line={'color': color, 'colorscale': colorscale})])

fig.update_traces(labelfont_color="black")

fig.show()

This is the error that I get:

ValueError: 
    Invalid element(s) received for the 'color' property of parcats.line
        Invalid elements include: ['Low', 'Low', 'Low', 'Low', 'Low', 'Low', 'Low', 'Low', 'Low', 'Low']

Without specifying the colors, I get this plot, which is correct (as I followed the documentation): Plot, but when I want to add some colors (like the code above), then an error is given.

I would really appreciate it if someone could help me further, as I don't seem to figure it out, while looking at the documentation.

Solution

This is my first experience with this type of graph, but to customize the color specification, the range value for the color scale is 0 to 1, whereas the target column for the color is a number from 0 to 1. I use size as the color object column and divide by 10 to stay within 1. Or normalize the color target column.

Updated: Normalized the data for the size columns used as the basis for color coding. Updated code and graphs.

import plotly.graph_objs as go
import plotly.express as px
import pandas as pd

tips_df = px.data.tips()

# Create dimensions
sex_dim = go.parcats.Dimension(
    values = tips_df['sex'],
    label = "Sex",
    categoryorder = "category ascending"
)

smoker_dim = go.parcats.Dimension(
    values = tips_df['smoker'], 
    label = "Smoker")

day_dim = go.parcats.Dimension(
    values = tips_df['day'], 
    label = "Day",
    categoryorder = "category ascending"
)

time_dim = go.parcats.Dimension(
    values = tips_df['time'], 
    label = "Time",
    categoryorder = "category ascending"
)

size_dim = go.parcats.Dimension(
    values = tips_df['size'], 
    label = "Size",
    categoryarray=[1,2,3,4,5,6],
    categoryorder = "category ascending"
)

quantized_total_bill = go.parcats.Dimension(
    values = tips_df['total_bill'], 
    label = "Quantized total bill",
    categoryorder = "category ascending"
)

quantized_tip = go.parcats.Dimension(
    values = tips_df['tip'], 
    label = "Quantized tip",
    categoryorder = "category ascending", 
    categoryarray=[0, 1, 2],
)

# Create parcats trace
color = [(x- tips_df['size'].min()) / (tips_df['size'].max() - tips_df['size'].min()) for x in tips_df['size']]
colorscale = [[0.0, 'lightsteelblue'], [0.5, 'mediumseagreen'], [1.0, 'yellow']];

# Create parcats trace
fig = go.Figure(data = [go.Parcats(dimensions=[sex_dim, smoker_dim, day_dim, time_dim, size_dim],
                                               line={'color': color, 'colorscale': colorscale})])

fig.update_traces(labelfont_color="black")
fig.show()