CSV (comma-separated value) files are a common file format for transferring and storing data. The ability to read, manipulate, and write data to and from CSV files using Python is a key skill to master for any data scientist or business analysis. In this post, we’ll go over what CSV files are, how to read CSV files into Pandas DataFrames, and how to write DataFrames back to CSV files post analysis.
Aggregation and data grouping of Dataframes is accomplished in Python Pandas using “groupby()” and “agg()” functions. In this post, we’ll look at every aspect of grouping by single or multiple columns, applying aggregation functions such as max, min, count, and naming the resulting Dataframes and Pandas Series.