If the dataset you want to analyze with pandas is coming from a normalized relational database, then you can use ‘pandas.read_sql‘ to pull the data directly. In this article, we will deploy a small MariaDB instance with Docker and show how we can create DataFrame directly from a single table or from a join between … Python: constructing a DataFrame from a relational database with pandas
If your data is coming from CSV dumps of relational database tables, then you probably need to flatten the data before starting the training or analysis. It requires an understanding of the relational schema so you can specify the foreign key lookups, but from that pandas can reconstruct the relationships and produce a single flattened … Python: flattening exported csv relational data with pandas
An issue that keeps coming up on the mailing lists as well as Stackoverflow[1,2] is how to merge multiple pillar files for use with a single state. The problem is that pillars using the same key overwrite each other, and there is no easy way to express the desire to merge instead. There are various workarounds, but all … SaltStack: Combine multiple pillar files under a single key