Effective immediately in response to COVID-19, all Technology Training classes will be delivered online until further notice.
In advance of each session, Tech Training will provide you with a Zoom link to your class, along with any required class materials.
In this class, you will have the opportunity to develop Python scripts to create pivot tables in an automated way by leveraging the Pandas module. Real-life examples are presented to generate reports based on data aggregation that can be reused for dynamic datasets.
Prerequisite: Completion of the "Python for Beginners" class, or equivalent Python experience.
Topics in this session include:
- Introduction to Jupyter Notebook
- Learn the Pandas and Numpy modules to read, prepare, and write datasets
- Introduction to the "pivot_table", "pivot", "stacked", and "unstacked" functions
- Splitting, apply, and grouping datasets
- Grouping datasets by multiple columns
- Aggregate data with different statistical functions such as len, sum, min,max, unique, nunique, etc.
- Aggregate data by multiple columns
- Resetting hierarchical indices and columns
- Build aggregation automation and share results
University IT Technology Training classes are only available to Stanford University staff, faculty, students and Stanford Hospitals & Clinics employees. A valid SUNet ID is needed in order to enroll in a class.
