How to Create Conditional Columns in Pandas | np.where() & np.select() Guide
In this session of @analyticsschool we'll explore two powerful functions from the NumPy library that can supercharge your data analysis in pandas: np.where() and np.select(). These functions allow us to efficiently create new variables based on conditional logic. These functions are incredibly useful for data manipulation and feature engineering tasks.
#analyticsschool #dataanalysis #dataanalytics #datascience #numpy #pandas