Display – a simple interactive API for data visualization
Data visualization is another very important data science task that is indispensable for exploring and forming hypotheses. Fortunately, the Python ecosystem has a lot of powerful libraries dedicated to data visualization, such as these popular examples:
- Matplotlib: http://matplotlib.org
- Seaborn: https://seaborn.pydata.org
- Bokeh: http://bokeh.pydata.org
- Brunel: https://brunelvis.org
However, similar to data loading and cleaning, using these libraries in a Notebook can be difficult and time-consuming. Each of these libraries come with their own programming model and APIs are not always easy to learn and use, especially if you are not an experienced developer. Another issue is that these libraries do not have a high-level interface to commonly used data processing frameworks such as pandas (except maybe Matplotlib) or Apache Spark and, as a result, a lot of data preparation is needed before plotting the data.
To help with...
