Routines

In this chapter routine docstrings are presented, grouped by functionality. Many docstrings contain example code, which demonstrates basic usage of the routine. The examples assume that the np module is imported with:

>>> from mxnet import np, npx
>>> npx.set_np()

A convenient way to execute examples is the %doctest_mode mode of IPython, which allows for pasting of multi-line examples and preserves indentation.

• Array creation routines
  • Ones and zeros
  • From existing data
  • Creating record arrays (np.rec)
  • Creating character arrays (np.char)
  • Numerical ranges
  • Building matrices
• Array manipulation routines
  • Changing array shape
  • Transpose-like operations
  • Changing number of dimensions
  • Joining arrays
  • Splitting arrays
  • Tiling arrays
  • Adding and removing elements
  • Rearranging elements
• Input and output
  • Text files
  • Text formatting options
• Linear algebra (numpy.linalg)
  • Matrix and vector products
  • Decompositions
  • Matrix eigenvalues
  • Norms and other numbers
  • Solving equations and inverting matrices
• Mathematical functions
  • Trigonometric functions
  • Hyperbolic functions
  • Rounding
  • Sums, products, differences
  • Exponents and logarithms
  • Other special functions
  • Floating point routines
  • Rational routines
  • Arithmetic operations
  • Miscellaneous
• np.random
  • Simple random data
  • Permutations
  • Distributions
• Sorting, searching, and counting
  • Sorting
  • Searching
  • Counting
• Statistics
  • Order statistics
  • Averages and variances
  • Correlating
  • Histograms

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