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  • User Guide
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  • Building from source
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  • NEPs
  • GitHub

章节导航

  • NumPy’s module structure
  • Array objects
    • The N-dimensional array (ndarray)
    • Scalars
    • Data type objects (dtype)
    • Data type promotion in NumPy
    • Iterating over arrays
    • Standard array subclasses
      • numpy.matrix.T
      • numpy.matrix.H
      • numpy.matrix.I
      • numpy.matrix.A
      • numpy.matrix
      • numpy.asmatrix
      • numpy.bmat
      • numpy.memmap
      • numpy.memmap.flush
      • numpy.char.chararray
      • numpy.char.array
      • numpy.recarray
      • numpy.record
        • numpy.record.all
        • numpy.record.any
        • numpy.record.argmax
        • numpy.record.argmin
        • numpy.record.argsort
        • numpy.record.astype
        • numpy.record.byteswap
        • numpy.record.choose
        • numpy.record.clip
        • numpy.record.compress
        • numpy.record.conj
        • numpy.record.conjugate
        • numpy.record.copy
        • numpy.record.cumprod
        • numpy.record.cumsum
        • numpy.record.diagonal
        • numpy.record.dump
        • numpy.record.dumps
        • numpy.record.fill
        • numpy.record.flatten
        • numpy.record.getfield
        • numpy.record.item
        • numpy.record.max
        • numpy.record.mean
        • numpy.record.min
        • numpy.record.nonzero
        • numpy.record.pprint
        • numpy.record.prod
        • numpy.record.put
        • numpy.record.ravel
        • numpy.record.repeat
        • numpy.record.reshape
        • numpy.record.resize
        • numpy.record.round
        • numpy.record.searchsorted
        • numpy.record.setfield
        • numpy.record.setflags
        • numpy.record.sort
        • numpy.record.squeeze
        • numpy.record.std
        • numpy.record.sum
        • numpy.record.swapaxes
        • numpy.record.take
        • numpy.record.to_device
        • numpy.record.tobytes
        • numpy.record.tofile
        • numpy.record.tolist
        • numpy.record.trace
        • numpy.record.transpose
        • numpy.record.var
        • numpy.record.view
      • numpy.lib.user_array.container
      • numpy.ndarray.flat
      • numpy.ndenumerate
      • numpy.broadcast
    • Masked arrays
    • The array interface protocol
    • Datetimes and timedeltas
  • Universal functions (ufunc)
  • Routines and objects by topic
  • Typing (numpy.typing)
  • NumPy C-API
  • Array API standard compatibility
  • CPU/SIMD optimizations
  • Thread Safety
  • Global Configuration Options
  • NumPy security
  • Testing guidelines
  • Status of numpy.distutils and migration advice
  • NumPy and SWIG
  • NumPy reference
  • Array objects
  • Standard array subclasses
  • numpy.record
  • numpy.record.conj

numpy.record.conj#

method

record.conj(/)#

Scalar method identical to ndarray.conj.

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