Data science often involves manipulating large datasets to extract meaningful insights. One powerful tool for this task is the 'groupby' function in pandas, a data manipulation library in Python.

Pandas makes it easy to quickly load, manipulate, align, merge, and even visualize data tables directly in Python. Topics Spotlight: AI-ready data centers ...

Problem description. When a DataFrame column contains pandas.Period values, and the user attempts to groupby this column, the resulting operation is very, very slow, when compared to grouping by ...

Whilst teaching "more efficient Pandas" I dug into memory usage in a groupby with memory_profiler and was surprised by the output (below). For a 1.6GB DataFrame of random data with a indicator column ...