plotly / plotly/plotly.py

allow provision of X coordinates only for Sankey charts

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feature P3
Dominant language
Python
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Description

This is somewhat of a duplicate of #960 and #1437 but slightly more hopeful :)
The x and y arguments of the nodes dict do successfully control node location, however -- it appears that both arguments must be supplied.

import dash
import dash_core_components as dcc
import dash_html_components as html
f#rom dash.dependencies import Output, Input, State
import plotly.graph_objs as go
#import pandas as pd

app = dash.Dash()
app.layout = html.Div([
    dcc.Graph(
        id = 'wut',
        figure={
            'data' : [
                dict(
                    type='sankey',
                    #domain = 
                    arrangement = 'fixed',
                        node = dict(
                            pad = 15,
                            thickness = 20,
                            line = dict(color = "black", width = 0.5),
                            label = ["A1", "A2", "B1", "B2", "C1", "C2"],
                            x = [0.1, 0.2, 0.24, 0.7, 0.8, .9],
                            y = [0, .2, .3, .4, .5, .6],
                            color = "blue"
                    ),
            link = dict(
                source = [0, 1, 0, 2, 3, 3], # indices correspond to labels, eg A1, A2, A2, B1, ...
                target = [2, 3, 3, 4, 4, 5],
                value = [8, 4, 2, 8, 4, 2]
            ))        
        ]}   
)])

if __name__ == '__main__':
    app.run_server(debug=True)

VS.

import dash
import dash_core_components as dcc
import dash_html_components as html
f#rom dash.dependencies import Output, Input, State
import plotly.graph_objs as go
#import pandas as pd

app = dash.Dash()
app.layout = html.Div([
    dcc.Graph(
        id = 'wut',
        figure={
            'data' : [
                dict(
                    type='sankey',
                    #domain = 
                    arrangement = 'fixed',
                        node = dict(
                            pad = 15,
                            thickness = 20,
                            line = dict(color = "black", width = 0.5),
                            label = ["A1", "A2", "B1", "B2", "C1", "C2"],
                            ###x = [0.1, 0.2, 0.24, 0.7, 0.8, .9],
                            y = [0, .2, .3, .4, .5, .6],
                            color = "blue"
                    ),
            link = dict(
                source = [0, 1, 0, 2, 3, 3], # indices correspond to labels, eg A1, A2, A2, B1, ...
                target = [2, 3, 3, 4, 4, 5],
                value = [8, 4, 2, 8, 4, 2]
            ))        
        ]}   
)])

if __name__ == '__main__':
    app.run_server(debug=True)

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No files or tests are named. Reproduce the two Sankey examples from the issue, then trace where Sankey node coordinates are handled to determine why x currently requires y. Done means a Sankey chart with arrangement set to fixed accepts x coordinates without y and preserves the documented behavior.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data-visualization
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
38/100

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