Now you can explore the results of your NodeXL data workflows with Graphistry GPU visuals!
graphistry.nodexl('http://my_url/file.xls').plot(), see calls to it at the bottomgraphistry.nodexl('http://my_url/file.xls', 'twitter', engine='xlrg', verbose=True)"./my_file.xls")
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# ! pip install -q --user graphistry pandas
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# Sometimes also need to install a new system Excel parser, and pass in as `graphistry.nodexl(..., engine='openpyxl')
# pip install -q --user openpyxl
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import pandas as pd
import graphistry
graphistry.__version__
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# Uncomment if the Python environment does not already point to your Graphistry account
# graphistry.register(key='...')
# graphistry.register(protocol='https', server='my.site.com', key='...)
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#g = NodeXLGraphistry().xls(xls, 'twitter')
g = graphistry.nodexl('https://nodexlgraphgallery.org/Pages/Workbook.ashx?graphID=220232')
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print('%s nodes, %s edges' % (len(g._nodes), len(g._edges)))
g._nodes.sample(2)
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g.plot()
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graphistry.nodexl('https://nodexlgraphgallery.org/Pages/Workbook.ashx?graphID=220055', 'twitter', verbose=True).plot()
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graphistry.nodexl('https://nodexlgraphgallery.org/Pages/Workbook.ashx?graphID=219924', 'twitter', verbose=True).plot()
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graphistry.nodexl('https://www.nodexlgraphgallery.org/Pages/Workbook.ashx?graphID=220124', 'twitter', verbose=True).plot()
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graphistry.nodexl('https://nodexlgraphgallery.org/Pages/Workbook.ashx?graphID=203001', 'mediawiki').plot()