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NumPy v2.2 Manual - Home NumPy v2.2 Manual - Home
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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 (numpy.exceptions)
    • Discrete Fourier Transform (numpy.fft)
    • Functional programming
    • Input and output
    • Indexing routines
    • Linear algebra (numpy.linalg)
    • Logic functions
    • Masked array operations
    • Mathematical functions
      • numpy.sin
      • numpy.cos
      • numpy.tan
      • numpy.arcsin
      • numpy.asin
      • numpy.arccos
      • numpy.acos
      • numpy.arctan
      • numpy.atan
      • numpy.hypot
      • numpy.arctan2
      • numpy.atan2
      • numpy.degrees
      • numpy.radians
      • numpy.unwrap
      • numpy.deg2rad
      • numpy.rad2deg
      • numpy.sinh
      • numpy.cosh
      • numpy.tanh
      • numpy.arcsinh
      • numpy.asinh
      • numpy.arccosh
      • numpy.acosh
      • numpy.arctanh
      • numpy.atanh
      • numpy.round
      • numpy.around
      • numpy.rint
      • numpy.fix
      • numpy.floor
      • numpy.ceil
      • numpy.trunc
      • numpy.prod
      • numpy.sum
      • numpy.nanprod
      • numpy.nansum
      • numpy.cumulative_sum
      • numpy.cumulative_prod
      • numpy.cumprod
      • numpy.cumsum
      • numpy.nancumprod
      • numpy.nancumsum
      • numpy.diff
      • numpy.ediff1d
      • numpy.gradient
      • numpy.cross
      • numpy.trapezoid
      • numpy.exp
      • numpy.expm1
      • numpy.exp2
      • numpy.log
      • numpy.log10
      • numpy.log2
      • numpy.log1p
      • numpy.logaddexp