Tutorial

This is an overview of the LArray library. It is not intended to be a fully comprehensive manual. It is mainly dedicated to help new users to familiarize with it and others to remind essentials.

• Getting Started
  • Create an array
  • Create an array filled with predefined values
  • Save/Load an array
  • Selecting a subset
  • Aggregation
  • Groups
  • Grouping arrays in a Session
  • Graphical User Interface (Editor)
• Load And Dump Arrays
  • Loading Arrays - Basic Usage (CSV, Excel, HDF5)
  • Dumping Arrays - Basic Usage (CSV, Excel, HDF5)
  • Specifying Wide VS Narrow format (CSV, Excel)
  • Specifying Position in Sheet (Excel)
  • Exporting data without headers (Excel)
  • Specifying the Number of Axes at Reading (CSV, Excel)
  • NaNs and Missing Data Handling at Reading (CSV, Excel)
  • Sorting Axes at Reading (CSV, Excel, HDF5)
  • Metadata (HDF5)
• Transforming Arrays (Relabeling, Renaming, Reordering, Sorting, …)
  • Manipulating axes
  • Sorting
  • Aligning Arrays
• Combining arrays
  • Insert
  • Append
  • Prepend
  • Stack
• Indexing, Selecting and Assigning
  • Selecting (Subsets)
  • Boolean Filtering
  • Iterating over an axis
  • Assigning subsets
• Arithmetic Operations
  • Basics
  • Axis order does not matter much (except for output)
  • Axes must be compatible
  • Extra Or Missing Axes (Broadcasting)
  • Boolean Operations
• Aggregations
• Pythonic VS String Syntax
  • String Syntax
• Plotting
• Inspecting Array objects
• Some Useful Functions
  • with total
  • where
  • clip
  • divnot0
  • ratio
  • percents
  • diff
  • growth_rate
  • shift
  • Other interesting functions
• Working With Sessions
  • Three Kinds Of Sessions
  • Creating Sessions
  • Loading and Dumping Sessions
  • Exploring Content
  • Selecting And Filtering Items
  • Iterating over Items
  • Manipulating Checked Sessions
  • Arithmetic Operations On Sessions
  • Applying Functions On All Arrays
  • Comparing Sessions
• Compatibility with pandas