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  • User Guide
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  • Building from source
  • Development
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  • NEPs
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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
    • 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)
        • numpy.polynomial.legendre.Legendre
        • numpy.polynomial.legendre.legdomain
        • numpy.polynomial.legendre.legzero
        • numpy.polynomial.legendre.legone
        • numpy.polynomial.legendre.legx
        • numpy.polynomial.legendre.legadd
        • numpy.polynomial.legendre.legsub
        • numpy.polynomial.legendre.legmulx
        • numpy.polynomial.legendre.legmul
        • numpy.polynomial.legendre.legdiv
        • numpy.polynomial.legendre.legpow
        • numpy.polynomial.legendre.legval
        • numpy.polynomial.legendre.legval2d
        • numpy.polynomial.legendre.legval3d
        • numpy.polynomial.legendre.leggrid2d
        • numpy.polynomial.legendre.leggrid3d
        • numpy.polynomial.legendre.legder
        • numpy.polynomial.legendre.legint
        • numpy.polynomial.legendre.legfromroots
        • numpy.polynomial.legendre.legroots
        • numpy.polynomial.legendre.legvander
        • numpy.polynomial.legendre.legvander2d
        • numpy.polynomial.legendre.legvander3d
        • numpy.polynomial.legendre.leggauss
        • numpy.polynomial.legendre.legweight
        • numpy.polynomial.legendre.legcompanion
        • numpy.polynomial.legendre.legfit
        • numpy.polynomial.legendre.legtrim
        • numpy.polynomial.legendre.legline
        • numpy.polynomial.legendre.leg2poly
        • numpy.polynomial.legendre.poly2leg
      • Polyutils
      • Poly1d
    • Random sampling (numpy.random)
    • Set routines
    • Sorting, searching, and counting
    • Statistics
    • Test support (numpy.testing)
    • Window functions
  • Typing (numpy.typing)
  • Packaging (numpy.distutils)
  • NumPy C-API
  • Array API standard compatibility
  • CPU/SIMD optimizations
  • Thread Safety
  • Global Configuration Options
  • NumPy security
  • Status of numpy.distutils and migration advice
  • numpy.distutils user guide
  • NumPy and SWIG
  • NumPy reference
  • Routines and objects by topic
  • Polynomials
  • Legendre Series (numpy.polynomial.legendre)
  • numpy.polynomial.legendre.Legendre
  • numpy.polynomial.legendre.Legendre.__call__

numpy.polynomial.legendre.Legendre.__call__#

method

polynomial.legendre.Legendre.__call__(arg)[source]#

Call self as a function.

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