Examples

• Welcome to exa! Let’s get started
• You might be familiar with pandas
• DataFrames are great! Usually you can find a way to represent your data in a single dataframe
• Sometimes data doesn’t fit nicely into a single dataframe
• The exa Container links dataframes together with minimal effort
• The network() method shows you a network graph of the relationships in your data
• There are idx-col and col-col relationships, as well as other class attributes
  • Categories are efficient if your data has a small number of possible values but normally require special attention
  • with the _categories attribute, they require no special attention
• There are attributes for _groupbys, _traits, _precision allowing for automatic passing to JS widgets
• Trait data is passed to JS for viewing in a widget with a rather capable app utilizing Three.JS and WebGL
• The real power is in crafting a container specific to the needs of a data set
• There is also an Editor class that makes repetitive file I/O tasks simpler