Thinking in Pandas: How to Use the Python Data Analysis Library the Right Way

© Hannah Stepanek 2020

H. StepanekThinking in Pandashttps://doi.org/10.1007/978-1-4842-5839-2_9

9. The Future of pandas

Hannah Stepanek¹ 

(1)

Portland, OR, USA

 

There are an increasing number of packages that are built on top of or compatible with pandas. Some of these like sklearn-pandas integrate with other packages like scikit-learn to utilize DataFrames for machine learning. Others, like Plotly, provide interactive plotting capabilities and online collaboration. pandas has recently made the push in the last couple years to branch out into other languages. There is now a pandas.js package and a ruby wrapper that enables ruby users to call into the Python pandas API. There is also a push to optimize data analysis at a more global scale using an up-and-coming ...