Hi Plotly Community!
I’m currently creating Sankey-plots (exported to .html files) of the result of a data-migration, showing the move from source to target in 3 levels.
This will ideally be used to interact with Line-of-Business to explain whats happening to their data once we migrate.
What I would love to be able to do it to click a node and it will copy the label from level 0 to the level you’re clicking. Maybe even in a pandas dataframe format like: df[(df.level_0 == “[label_0]”) & (df.level_1 == "[label_1])] etc. such that I could easily take a look at the specific data that node relates to.
Is this at all possible?
Yup, that’s possible. The main components of a Sankey are:
You can also update the label.
So just have a callback from a dropdown that has all the node options and update the above values in the figure in the output like this:
fig = go.Figure(###code here)
I did a little digging and you can do it in Python as well. The following link shows some examples:
Basically what you would like to do is update the clickData attribute, which you only care about the node name, and have that update the figure as follows:
fig = go.Figure(###update values based on value)
Thanks a lot for your answers! Maybe I wasn’t very good at explaining what I wanted to do, but I don’t want to update the figure at all when clicking. I simply want to copy the labels of the node(s) to my clipboard so I can paste it in a Jupyter Notebook for instance.
Example: Let’s say the label of the node in level 0 was: “some_node_label” and the label of the top node in level 1 was “some_other_node_label”, then clicking the top node in my graph would copy the label of the previous node label in level 0, as well as the node label of the actual node I’m clicking, such that when I paste I get the following: df[(df[“level_0”] == “some_node_label”) & (df[“level_1”] == “some_other_node_label”)]
Does that make sense?