3D Bubble Charts in Python

How to make 3D Bubble Charts in Python with Plotly. Three examples of 3D Bubble Charts.

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3d Bubble chart with Plotly Express¶

In [1]:

import plotly.express as px
import numpy as np
df = px.data.gapminder()
fig = px.scatter_3d(df, x='year', y='continent', z='pop', size='gdpPercap', color='lifeExp',
                    hover_data=['country'])
fig.update_layout(scene_zaxis_type="log")
fig.show()

Simple Bubble Chart¶

In [2]:

import plotly.graph_objects as go

import pandas as pd

# Get Data: this ex will only use part of it (i.e. rows 750-1500)
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv')

start, end = 750, 1500

fig = go.Figure(data=go.Scatter3d(
    x=df['year'][start:end],
    y=df['continent'][start:end],
    z=df['pop'][start:end],
    text=df['country'][start:end],
    mode='markers',
    marker=dict(
        sizemode='diameter',
        sizeref=750,
        size=df['gdpPercap'][start:end],
        color = df['lifeExp'][start:end],
        colorscale = 'Viridis',
        colorbar_title = 'Life<br>Expectancy',
        line_color='rgb(140, 140, 170)'
    )
))


fig.update_layout(height=800, width=800,
                  title=dict(text='Examining Population and Life Expectancy Over Time'))

fig.show()