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Quick and dirty overview of a Pandas DataFrame

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A fun addition to pandas?


We'll get to this, just do the git clone and the pip install . , you know.


To be run in a Jupyter Notebook, or somewhere else with nice HTML rendering of Pandas tables (i.e. not Github)

import pandas as pd
import rundown

sample_df = pd.util.testing.makeDataFrame() # make one!



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