Welcome to the Condition Package

This package can be used to construct a condition object in a user friendly way. The condition object can be passed as a parameter and later used to query pandas dataframes, filter pyarrow partitions or to generate where conditions in SQL. It takes care of formating and syntax for you.

Contents:

• Introduction
  • Goals
  • Benefits
  • Installing
  • Author
  • License
  • Contributing
• Usage Guide
  • A Sample Dataframe
  • Basics
    • Field
    • Field List
    • Field Condition
    • And Condition
    • Or Condition
  • Features
    • Immutability
    • Serializablility
    • Equality Test
    • Hashcodes
    • Non Standard Field Names
    • And, Or Flatten
    • Normalization
    • Visualization
    • String <=> Condition
    • Split of a Condition
  • Usage Contexts
    • Evaluation
    • Dataframe.query Usage
    • Pyarrow Partition Filtering
    • Usage Context Extension
  • SQL Generation
    • Basic SQL
    • SQL with Column Mappings
    • SQL with Split Conditions
    • SQL with Custom Parameters
    • SQL with Like Condition
• API Reference
  • condition module
  • condition.sql module

Indices and tables

• Index

• Module Index

• Search Page