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NumPy v2.3.dev0 Manual - Home NumPy v2.3.dev0 Manual - Home
  • User Guide
  • API reference
  • Building from source
  • Development
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    • NEPs
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  • User Guide
  • API reference
  • Building from source
  • Development
  • Release notes
  • Learn
  • NEPs
  • GitHub

Section Navigation

  • NumPy’s module structure
  • Array objects
  • Universal functions (ufunc)
  • Routines and objects by topic
    • Constants
    • Array creation routines
    • Array manipulation routines
    • Bit-wise operations
    • String functionality
    • Datetime support functions
    • Data type routines
    • Mathematical functions with automatic domain
    • Floating point error handling
    • Exceptions and Warnings
    • Discrete Fourier Transform
    • Functional programming
    • Input and output
    • Indexing routines
    • Linear algebra
    • Logic functions
    • Masked array operations
    • Mathematical functions
    • Miscellaneous routines
    • Polynomials
      • Using the convenience classes
      • Power Series (numpy.polynomial.polynomial)
      • Chebyshev Series (numpy.polynomial.chebyshev)
      • Hermite Series, “Physicists” (numpy.polynomial.hermite)
      • HermiteE Series, “Probabilists” (numpy.polynomial.hermite_e)
      • Laguerre Series (numpy.polynomial.laguerre)
      • Legendre Series (numpy.polynomial.legendre)
      • Polyutils
        • numpy.polynomial.polyutils.as_series
        • numpy.polynomial.polyutils.trimseq
        • numpy.polynomial.polyutils.trimcoef
        • numpy.polynomial.polyutils.getdomain
        • numpy.polynomial.polyutils.mapdomain
        • numpy.polynomial.polyutils.mapparms
      • Poly1d
    • Random sampling
    • Set routines
    • Sorting, searching, and counting
    • Statistics
    • Test support
    • Window functions
  • Typing (numpy.typing)
  • Packaging
  • NumPy C-API
  • Array API standard compatibility
  • CPU/SIMD optimizations