With bamboolib, you focus on what you want to do in pandas instead of how you do it. You can use bamboolib in the environment you are already familiar with: Jupyter Notebook or JupyterLab.
bamboolib let’s you interact with your pandas DataFrame.
bamboolib makes it easy to explore and wrangle your data without getting lost in the code. It will save you at least 12 hours of wrangling and exploration time per month.
bamboolib is keyboard first. That means that you can use the keyboard to search transformations and to navigate through them, making you blazingly fast when you are used to working with the keyboard! However, using the mouse is possible as well.
With bamboolib, you get an intuitive interface and full column and function auto-completion. This makes you way faster than typing the pandas code yourself.
bamboolib writes the Python code for you so you can reproduce all your steps and use the code in production. You can even use bamboolib to learn pandas syntax.
Creating meaningful visualisations for exploratory data anaysis is time consuming and repetitive. bamboolib provides great default visualisations out of the box. Each visualisation adjusts to the datatype at hand.
See the most important information for a given data type.
bamboolib automatically chooses 1 or multiple suitable plots.
Quickly determine the best features for predicting your target column.
If you like a visualization, you can copy its code and create your own report.