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I need to create a kind of "ternary" chart but instead of showing only points I need to set the lines, similar to the chart below:

enter image description here

I have created a data sample but I'm not 100% sure that this it has the correct data structure to build the chart

import pandas as pd 
dummy_data=[{"var1":0.74, "var2":.60, "var3":.78, "comp":"option1"},
 {"var1":0.8, "var2":0.75, "var3":0.72, "comp":"option2"}]
table=pd.DataFrame.from_dict(dummy_data)

I did a lot of searches but the most similar alternative I found was scatter_ternary which only plots points;

Any help will be very welcome!

Thank you in advance; Regards, Leonardo

asked Jun 16, 2022 at 1:57

1 Answer 1

2

I am new to this chart. I created the graph by replacing the examples in the official reference with lines. First of all, I needed four pieces of data from the start point to the end point. A->B->C->A Then the sum of the ABC points of that data must be the same. In my example, the sum is 1. After that I added the graph with as much triangular data as I needed.

import pandas as pd 
dummy_data=[
 {"var1":0.7, "var2":0.15, "var3":0.15, "comp":"option1"},
 {"var1":0.15, "var2":0.7, "var3":0.15, "comp":"option1"},
 {"var1":0.15, "var2":0.15, "var3":0.7, "comp":"option1"},
 {"var1":0.7, "var2":0.15, "var3":0.15, "comp":"option1"},
 {"var1":0.6, "var2":0.2, "var3":0.2, "comp":"option2"},
 {"var1":0.2, "var2":0.6, "var3":0.2, "comp":"option2"},
 {"var1":0.2, "var2":0.2, "var3":0.6, "comp":"option2"},
 {"var1":0.6, "var2":0.2, "var3":0.2, "comp":"option2"}
 ]
table=pd.DataFrame.from_dict(dummy_data)
import plotly.graph_objects as go
fig = go.Figure()
table1 = table[table['comp'] == 'option1']
fig.add_trace(go.Scatterternary(
 text=table1['comp'],
 a=table1['var1'],
 b=table1['var2'],
 c=table1['var3'],
 mode='lines',
 line_color='red',
 name='option1'
))
table2 = table[table['comp'] == 'option2']
fig.add_trace(go.Scatterternary(
 text=table2['comp'],
 a=table2['var1'],
 b=table2['var2'],
 c=table2['var3'],
 mode='lines',
 line_color='black',
 name='option2'
))
fig.update_layout({
 'title': 'Ternary Line Plot',
 'ternary':
 {
 'sum':1,
 'aaxis':{'title': 'A', 'min': 0.01, 'linewidth':2, 'ticks':'outside' },
 'baxis':{'title': 'B', 'min': 0.01, 'linewidth':2, 'ticks':'outside' },
 'caxis':{'title': 'C', 'min': 0.01, 'linewidth':2, 'ticks':'outside' }
 },
 'showlegend': False
})
fig.update_layout(showlegend=True)
fig.show()

enter image description here

answered Jun 16, 2022 at 3:52

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