Numpy basics

Note

XXX: there is overlap between this text extracted from numpy.doc and “Guide to Numpy” chapter 2. Needs combining?

• Data types
  • Array types and conversions between types
  • Array Scalars

• Array creation
  • Introduction
  • Converting Python array_like Objects to Numpy Arrays
  • Intrinsic Numpy Array Creation
  • Reading Arrays From Disk
    • Standard Binary Formats
    • Common ASCII Formats
    • Custom Binary Formats
    • Use of Special Libraries

• Indexing
  • Assignment vs referencing
  • Single element indexing
  • Other indexing options
  • Index arrays
  • Indexing Multi-dimensional arrays
  • Boolean or “mask” index arrays
  • Combining index arrays with slices
  • Structural indexing tools
  • Assigning values to indexed arrays
  • Dealing with variable numbers of indices within programs

• Broadcasting
  • General Broadcasting Rules

• Structured arrays (aka “Record arrays”)
  • Structured Arrays (aka Record Arrays)
    • Introduction
    • Defining Structured Arrays
    • Accessing and modifying field names
    • Accessing field titles

• Subclassing ndarray
  • Credits
  • Introduction
    • ndarrays and object creation
    • __new__ and __init__
  • Simple example - adding an extra attribute to ndarray
  • Slightly more realistic example - attribute added to existing array
  • __array_wrap__ for ufuncs
  • Extra gotchas - custom __del__ methods and ndarray.base