Quick and dirty overview of a Pandas DataFrame
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! sample_df.rundown()
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