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NumPy v2.2 Manual - Home NumPy v2.2 Manual - Home
  • User Guide
  • API reference
  • Building from source
  • Development
  • Release notes
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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
    • 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.matrix.all
        • numpy.matrix.any
        • numpy.matrix.argmax
        • numpy.matrix.argmin
        • numpy.matrix.argpartition
        • numpy.matrix.argsort
        • numpy.matrix.astype
        • numpy.matrix.byteswap
        • numpy.matrix.choose
        • numpy.matrix.clip
        • numpy.matrix.compress
        • numpy.matrix.conj
        • numpy.matrix.conjugate
        • numpy.matrix.copy
        • numpy.matrix.cumprod
        • numpy.matrix.cumsum
        • numpy.matrix.diagonal
        • numpy.matrix.dump
        • numpy.matrix.dumps
        • numpy.matrix.fill
        • numpy.matrix.flatten
        • numpy.matrix.getA
        • numpy.matrix.getA1
        • numpy.matrix.getH
        • numpy.matrix.getI
        • numpy.matrix.getT
        • numpy.matrix.getfield
        • numpy.matrix.item
        • numpy.matrix.max
        • numpy.matrix.mean
        • numpy.matrix.min
        • numpy.matrix.nonzero
        • numpy.matrix.partition
        • numpy.matrix.prod
        • numpy.matrix.ptp
        • numpy.matrix.put
        • numpy.matrix.ravel
        • numpy.matrix.repeat
        • numpy.matrix.reshape
        • numpy.matrix.resize
        • numpy.matrix.round
        • numpy.matrix.searchsorted
        • numpy.matrix.setfield
        • numpy.matrix.setflags
        • numpy.matrix.sort
        • numpy.matrix.squeeze
        • numpy.matrix.std
        • numpy.matrix.sum