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Getting started with Plotapi Sankey
source link: https://datacrayon.com/posts/plotapi/sankey/getting-started-with-sankey/
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Preamble¶
from plotapi import Sankey
Sankey.set_license("your username", "your license key")Introduction¶
Your first Plotapi Sankey Diagram! As we can see, we have set our license details in the preamble with Sankey.set_license().
Dataset¶
Plotapi Sankey expects a list of dictionary items, these will define the flow between a source and a target.
links = [
{"source":"Group A", "target":"Rank 1", "value": 1000},
{"source":"Group B", "target":"Rank 1", "value": 300},
{"source":"Group B", "target":"Rank 2", "value": 600},
{"source":"Group B", "target":"Rank 3", "value": 400},
{"source":"Rank 1", "target":"Club A", "value": 700},
{"source":"Rank 1", "target":"Club B", "value": 400},
{"source":"Rank 1", "target":"Club C", "value": 200},
{"source":"Rank 2", "target":"Club B", "value": 200},
{"source":"Rank 2", "target":"Club C", "value": 400},
{"source":"Rank 3", "target":"Withdrawn", "value": 400},
{"source":"Club A", "target":"Prize", "value": 500},
]We can add many source's and target's in any arrangement.
Visualisation¶
Creating our first Sankey Diagram is as easy as calling Plotapi with our one input.
Here we're using .show() which outputs to a Jupyter Notebook cell, however, we may want to output to a HTML file with .to_html() instead. More on the different output methods later!
Be sure to interact with the visualisation to see what the default settings can do!
Sankey(links).show()
Plotapi - Sankey Diagram
Group AGroup BRank 1Rank 2Rank 3Club AClub BClub CWithdrawnPrize1000300600400700400200200400400500Produced with Plotapi
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