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Visualize a pandas dataframe in a few clicks
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examples Phrasing in the tutorial Aug 28, 2018
quickviz only deploy on one python version Aug 25, 2018
.gitignore adding to the ignore list Aug 25, 2018
.travis.yml Installing tests by default Aug 27, 2018
README.md Updating the binder link Aug 28, 2018
pytest.ini Forcing test search dirs Aug 25, 2018
requirements.txt Installing tests by default Aug 27, 2018
setup.py

README.md

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Quickviz

Quickviz provides widgets for quickly visualizing pandas dataframes. It interfaces with seaborn and pandas.plot.

Example

View of the interface

See the gallery (which is also a test suite) for more.

Usage

There only one function, visualize. Apply it to your dataframe, and start playing.

from quickviz import visualize as v
from vega_datasets import data

df = data.cars()
v(df)

Try it live!

Rationale

It is often necessary to plot data in order to understand it. Plotting allows to quiclky spot glitches in the data: that person who is 180 meters tall or this car which can speed thousands of kilometers per hour will immediately stand out. In this situation, one wants a way to quickly (rather than beautifully) plot their data. Quickviz provides a set of widgets to do this in a few clicks.

Installation

pip install ipywidgets
jupyter nbextension enable --py widgetsnbextension
pip install quickviz

Disclaimer

Quickviz does not read the documentation for you! It only makes it easier to use seaborn/pandas with a mouse. In order to understand what you are doing, you still need to dig in their respective APIs.

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