Show Sidebar Hide Sidebar

Ternary Plots in Python

How to make Ternary plots in Python with Plotly.

Basic Ternary Plot with Markers

In [1]:
import plotly.graph_objects as go

rawData = [
    {'journalist':75,'developer':25,'designer':0,'label':'point 1'},
    {'journalist':70,'developer':10,'designer':20,'label':'point 2'},
    {'journalist':75,'developer':20,'designer':5,'label':'point 3'},
    {'journalist':5,'developer':60,'designer':35,'label':'point 4'},
    {'journalist':10,'developer':80,'designer':10,'label':'point 5'},
    {'journalist':10,'developer':90,'designer':0,'label':'point 6'},
    {'journalist':20,'developer':70,'designer':10,'label':'point 7'},
    {'journalist':10,'developer':20,'designer':70,'label':'point 8'},
    {'journalist':15,'developer':5,'designer':80,'label':'point 9'},
    {'journalist':10,'developer':10,'designer':80,'label':'point 10'},
    {'journalist':20,'developer':10,'designer':70,'label':'point 11'},
];

def makeAxis(title, tickangle):
    return {
      'title': title,
      'titlefont': { 'size': 20 },
      'tickangle': tickangle,
      'tickfont': { 'size': 15 },
      'tickcolor': 'rgba(0,0,0,0)',
      'ticklen': 5,
      'showline': True,
      'showgrid': True
    }

fig = go.Figure(go.Scatterternary({
    'mode': 'markers',
    'a': [i for i in map(lambda x: x['journalist'], rawData)],
    'b': [i for i in map(lambda x: x['developer'], rawData)],
    'c': [i for i in map(lambda x: x['designer'], rawData)],
    'text': [i for i in map(lambda x: x['label'], rawData)],
    'marker': {
        'symbol': 100,
        'color': '#DB7365',
        'size': 14,
        'line': { 'width': 2 }
    }
}))

fig.update_layout({
    'ternary': {
        'sum': 100,
        'aaxis': makeAxis('Journalist', 0),
        'baxis': makeAxis('<br>Developer', 45),
        'caxis': makeAxis('<br>Designer', -45)
    },
    'annotations': [{
      'showarrow': False,
      'text': 'Simple Ternary Plot with Markers',
        'x': 0.5,
        'y': 1.3,
        'font': { 'size': 15 }
    }]
})

fig.show()

Reference

See https://plot.ly/python/reference/#scatterternary for more information and chart attribute options!