Parallel Coordinates Plot in Python

How to make parallel coordinates plots in Python with Plotly.

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Parallel Coordinates plot with Plotly Express¶

Plotly Express is the easy-to-use, high-level interface to Plotly, which operates on a variety of types of data and produces easy-to-style figures. In a parallel coordinates plot with px.parallel_coordinates, each row of the DataFrame is represented by a polyline mark which traverses a set of parallel axes, one for each of the dimensions. For other representations of multivariate data, also see parallel categories, radar charts and scatterplot matrix (SPLOM).

In [1]:

import plotly.express as px
df = px.data.iris()
fig = px.parallel_coordinates(df, color="species_id", labels={"species_id": "Species",
                "sepal_width": "Sepal Width", "sepal_length": "Sepal Length",
                "petal_width": "Petal Width", "petal_length": "Petal Length", },
                             color_continuous_scale=px.colors.diverging.Tealrose,
                             color_continuous_midpoint=2)
fig.show()

Parallel coordinates are richly interactive by default. Drag the lines along the axes to filter regions.

Select the columns to be represented with the dimensions parameter.

In [2]:

import plotly.express as px
df = px.data.iris()
fig = px.parallel_coordinates(df, color="species_id",
                              dimensions=['sepal_width', 'sepal_length', 'petal_width',
                                          'petal_length'],
                              color_continuous_scale=px.colors.diverging.Tealrose,
                              color_continuous_midpoint=2)
fig.show()

Parallel Coordinates Chart with go.Parcoords¶

In [3]:

import plotly.graph_objects as go

fig = go.Figure(data=
    go.Parcoords(
        line_color='blue',
        dimensions = list([
            dict(range = [1,5],
                 constraintrange = [1,2], # change this range by dragging the pink line
                 label = 'A', values = [1,4]),
            dict(range = [1.5,5],
                 tickvals = [1.5,3,4.5],
                 label = 'B', values = [3,1.5]),
            dict(range = [1,5],
                 tickvals = [1,