3d Point Clustering - Plotly Py

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3D Clustering with Alpha Shapes

python

import plotly.plotly as py
import pandas as pd

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/alpha_shape.csv')
df.head()

scatter = dict(
    mode = "markers",
    name = "y",
    type = "scatter3d",
    x = df['x'], y = df['y'], z = df['z'],
    marker = dict( size=2, color="rgb(23, 190, 207)" )
)
clusters = dict(
    alphahull = 7,
    name = "y",
    opacity = 0.1,
    type = "mesh3d",
    x = df['x'], y = df['y'], z = df['z']
)
layout = dict(
    title = '3d point clustering',
    scene = dict(
        xaxis = dict( zeroline=False ),
        yaxis = dict( zeroline=False ),
        zaxis = dict( zeroline=False ),
    )
)
fig = dict( data=[scatter, clusters], layout=layout )
# Use py.iplot() for IPython notebook
py.iplot(fig, filename='3d point clustering')

Reference

See https://plot.ly/python/reference/#mesh3d for more information regarding subplots!

python

from IPython.display import display, HTML

display(HTML('<link href="//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700" rel="stylesheet" type="text/css" />'))
display(HTML('<link rel="stylesheet" type="text/css" href="http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css">'))

! pip install git+https://github.com/plotly/publisher.git --upgrade

import publisher
publisher.publish(
    '3d-clusters.ipynb', 'python/3d-point-clustering/', 'Python 3D Clustering | plotly',
    'How to cluster points in 3d with alpha shapes in plotly and Python',
    title= '3D Point Clustering in Python | plotly',
    name = '3d Clustering',
    has_thumbnail='true', thumbnail='thumbnail/3d-clusters.jpg',
    language='python',
    display_as='3d_charts', order=14,
    ipynb= '~notebook_demo/74')

python