Discrete Colors Based on a Column using Graph_Objects including Legend Values

📊 Plotly Python
1

I am trying to color a scatter plot based on a non-numeric column and display these values in the legend using graph_objects.

My goal is identical behavior to the color options with a column of type str in Plotly Express.

I understand if the column I am using is:

'colorcode':['a', 'b', 'c', 'd']
with
color_map={'a':0, 'b':1, 'c':2, 'd':3}

I can do something like

... color=df['colorcode'].map(color_map)

But the problem with this is that it creates a continuous colorbar as if it were a numerical column. However my goal is the legend to behave identically to if this was done with Plotly Express – with values in the column 'colorcode' and the corresponding color.

Thanks for the help.

2

Hi @friendlypanda ,

Try to jump into this post.

Thanks.