ipnm in Jupyter notebooks

In [1]:

    

%load_ext autoreload
%autoreload 2


    

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import sys
sys.path.append('../')
import ipnm


    

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ipnm.plot('data/cube.json')


    

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ipnm.plot('data/cube.json', default_pore_color=False)


    

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ipnm.plot('data/cube.json', default_throat_color=False)


    

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import json
from IPython.display import display, HTML

with open('data/cube.json', 'r') as f:
    cube = json.load(f)

shaders = ("basic", "lambert", "phong")
renders = [ipnm.plot(cube, size=(400, 200), shader=s, z=2, display_html=False) for s in shaders]
columns = ('<div class="col-xs-6 col-sm-3">{}</div>'.format(r) for r in renders)
display(HTML('<div class="row">{}</div>'.format("".join(columns))))


    

In [7]:

    

help(ipnm.plot)


    

    




Help on function plot in module ipnm.notebook_display:

plot(data, size=(600, 400), z=2, bounding_box=True, default_pore_color=6013150, default_throat_color=11184810, default_color_scale='rainbow', pore_width_segments=8, pore_height_segments=6, throat_radius_segments=8, throat_height_segments=1, shader='basic', antialias=True, display_html=True)

In [23]:

    

pnm = ipnm.format_converter.read_openpnm('data/net.vtp')


    

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ipnm.plot(pnm)


    

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