Routines

The following pages describe NumPy-compatible routines. These functions cover a subset of NumPy routines.

• Array Creation Routines
  • Basic creation routines
  • Creation from other data
  • Numerical ranges
  • Matrix creation
• Array Manipulation Routines
  • Basic operations
  • Changing array shape
  • Transpose-like operations
  • Changing number of dimensions
  • Changing kind of array
  • Joining arrays
  • Splitting arrays
  • Tiling arrays
  • Adding and removing elements
  • Rearranging elements
• Binary Operations
  • Elementwise bit operations
  • Bit packing
  • Output formatting
• FFT Functions
  • Standard FFTs
  • Real FFTs
  • Hermitian FFTs
  • Helper routines
• Linear Algebra
  • Matrix and vector products
  • Decompositions
  • Matrix eigenvalues
  • Norms etc.
  • Solving linear equations
  • Special Matrices
• Logic Functions
  • Truth value testing
  • Infinities and NaNs
  • Array type testing
  • Logic operations
  • Comparison
• Mathematical Functions
  • Trigonometric functions
  • Hyperbolic functions
  • Rounding
  • Sums, products, differences
  • Exponents and logarithms
  • Other special functions
  • Floating point routines
  • Arithmetic operations
  • Handling complex numbers
  • Miscellaneous
• Padding
• Polynomials
  • Polynomial Package
  • Poly1d
• Random Sampling (dpnp.random)
  • Simple random data
  • Permutations
  • Distributions
  • Random generator
• Sorting, Searching, and Counting
  • Sorting
  • Searching
  • Counting
• Statistical Functions
  • Order statistics
  • Means and variances
  • Histograms
  • Correlations