Contents

• General
  • Front Matter
    • Legal Notice
      • Special license for package numarray.ma
      • Disclaimer
• 1 Numerical Python
  • 1. Introduction
    • 1.1 Where to get information and code
    • 1.2 Acknowledgments
  • 2. Installing numarray
    • 2.1 Testing the Python installation
    • 2.2 Testing the Numarray Python Extension Installation
    • 2.3 Installing numarray
      • 2.3.1 Installing on Unix, Linux, and Mac OSX
      • 2.3.2 Installing on Windows
    • 2.4 At the SourceForge...
  • 3. High-Level Overview
    • 3.1 Numarray Objects
    • 3.2 Universal Functions
    • 3.3 Convenience Functions
    • 3.4 Differences between numarray and Numeric.
  • 4. Array Basics
    • 4.1 Basics
    • 4.2 Creating arrays from scratch
      • 4.2.1 array() and types
      • 4.2.2 Multidimensional Arrays
    • 4.3 Creating arrays with values specified ``on-the-fly''
      • 4.3.1 Creating an array from a function
    • 4.4 Coercion and Casting
      • 4.4.1 Automatic Coercions and Binary Operations
      • 4.4.2 The type value table
      • 4.4.3 Long: the platform relative type
      • 4.4.4 Deliberate casts (potentially down)
    • 4.5 Operating on Arrays
      • 4.5.1 Simple operations
      • 4.5.2 In-place operations
  • 5. Array Indexing
    • 5.1 Getting and Setting array values
    • 5.2 Slicing Arrays
    • 5.3 Pseudo Indices
    • 5.4 Index Arrays
  • 6. Intermediate Topics
    • 6.1 Rank-0 Arrays
    • 6.2 Exception Handling
    • 6.3 IEEE-754 Not a Number (NAN) and Infinity
  • 7. Ufuncs
    • 7.1 What are Ufuncs?
      • 7.1.1 Ufuncs can take output arguments
      • 7.1.2 Ufuncs have special methods
      • 7.1.3 Ufuncs always return new arrays
    • 7.2 Which are the Ufuncs?
      • 7.2.1 Unary Mathematical Ufuncs
      • 7.2.2 Binary Mathematical Ufuncs
      • 7.2.3 Logical and bitwise ufuncs
      • 7.2.4 Comparisons
      • 7.2.5 Ufunc shorthands
    • 7.3 Writing your own ufuncs!
      • 7.3.1 Runtime components of a ufunc
      • 7.3.2 Source components of a ufunc
      • 7.3.3 Ufunc code generation
      • 7.3.4 Type signatures and signature ordering
      • 7.3.5 Forms
      • 7.3.6 Ufunc Generation Example
  • 8. Array Functions
  • 9. Array Methods
  • 10. Array Attributes
  • 11. Character Array
    • 11.1 Introduction
    • 11.2 Character array stripping, padding, and truncation
    • 11.3 Character array functions
    • 11.4 Character array methods
  • 12. Record Array
    • 12.1 Introduction
    • 12.2 Record array functions
    • 12.3 Record array methods
    • 12.4 Record object
  • 13. Object Array
    • 13.1 Introduction
    • 13.2 Object array functions
    • 13.3 Object array methods
  • 14. C extension API
    • 14.1 Numarray extension basics
      • 14.1.1 Include libnumarray.h
      • 14.1.2 Alternate include method
      • 14.1.3 Import libnumarray
      • 14.1.4 Writing a simple setup.py file for a numarray extension
    • 14.2 Fundamental data structures
      • 14.2.1 Numarray Numerical Data Types
      • 14.2.2 NumarrayType
      • 14.2.3 PyArray_Descr
      • 14.2.4 PyArrayObject
      • 14.2.5 Flag Bits
    • 14.3 Numeric simulation API
      • 14.3.1 Simulation Functions
      • 14.3.2 Numeric Compatible Functions
      • 14.3.3 Unsupported Numeric Features
    • 14.4 High-level API
      • 14.4.1 High-level functions
      • 14.4.2 Behaved-ness Requirements
      • 14.4.3 Example
    • 14.5 Element-wise API
      • 14.5.1 Element-wise functions
      • 14.5.2 Example
    • 14.6 One-dimensional API
    • 14.7 New numarray functions
• 2 Extension modules
  • 15. Convolution
    • 15.1 Convolution functions
    • 15.2 Global constants
  • 16. Fast-Fourier-Transform
    • 16.1 Installation
      • 16.1.1 Installation using FFTPACK
    • 16.2 FFT Python Interface
    • 16.3 fftpack Python Interface
  • 17. Linear Algebra
    • 17.1 Installation
      • 17.1.1 Installation using LAPACK
    • 17.2 Python Interface
  • 18. Masked Arrays
    • 18.1 What is a masked array?
    • 18.2 Using numarray.ma
    • 18.3 Class MaskedArray
      • 18.3.1 Attributes of masked arrays
      • 18.3.2 Methods on masked arrays
      • 18.3.3 Constructing masked arrays
      • 18.3.4 What are masks?
      • 18.3.5 Working with masks
      • 18.3.6 Operations
      • 18.3.7 Copying or not?
      • 18.3.8 Behaviors
      • 18.3.9 Indexing and Slicing
      • 18.3.10 Indexing in assignments
      • 18.3.11 Operations that produce a scalar result
      • 18.3.12 Assignment to elements and slices
    • 18.4 MaskedArray Attributes
    • 18.5 MaskedArray Functions
      • 18.5.1 Unary functions
      • 18.5.2 Binary functions
      • 18.5.3 Comparison operators
      • 18.5.4 Logical operators
      • 18.5.5 Special array operators
      • 18.5.6 Controlling the size of the string representations
    • 18.6 Helper classes
      • 18.6.1 The constant masked
      • 18.6.2 The constant masked_print_option
    • 18.7 Examples of Using numarray.ma
      • 18.7.1 Data with a given value representing missing data
      • 18.7.2 Filling in the missing data
      • 18.7.3 Numerical operations
      • 18.7.4 Seeing the mask
      • 18.7.5 Filling it your way
      • 18.7.6 Ignoring extreme values
      • 18.7.7 Averaging an entire multidimensional array
  • 19. Mlab
    • 19.1 Matlab(tm) compatible functions
  • 20. Random Numbers
    • 20.1 General functions
    • 20.2 Special random number distributions
      • 20.2.1 Random floating point number distributions
      • 20.2.2 Random integer number distributions
    • 20.3 Examples
  • 21. Multi-dimensional image processing
    • 21.1 Introduction
    • 21.2 Properties shared by all functions
    • 21.3 Filter functions
      • 21.3.1 Correlation and convolution
      • 21.3.2 Smoothing filters
      • 21.3.3 Filters based on order statistics
      • 21.3.4 Derivatives
      • 21.3.5 Generic filter functions
    • 21.4 Fourier domain filters
    • 21.5 Interpolation functions
      • 21.5.1 Spline pre-filters
      • 21.5.2 Interpolation functions
    • 21.6 Binary morphology
    • 21.7 Grey-scale morphology
    • 21.8 Distance transforms
    • 21.9 Segmentation and labeling
    • 21.10 Object measurements
    • 21.11 Extending nd_image in C
      • 21.11.1 C callback functions
      • 21.11.2 Functions that support C callback functions
  • 22. Memory Mapping
    • 22.1 Introduction
    • 22.2 Opening a Memmap
    • 22.3 Slicing a Memmap
    • 22.4 Creating an array from a MemmapSlice
    • 22.5 Resizing a MemmapSlice
    • 22.6 Forcing file updates and closing the Memmap
    • 22.7 numarray.memmap functions
    • 22.8 Memmap methods
    • 22.9 MemmapSlice methods
• Appendix
  • A. Glossary
• Index
• About this document ...

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