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dev2.2 (stable)2.12.01.261.251.241.231.221.211.201.191.181.171.161.151.141.13
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  • Building from source
  • Development
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  • NEPs
dev2.2 (stable)2.12.01.261.251.241.231.221.211.201.191.181.171.161.151.141.13
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Section Navigation

  • NumPy’s module structure
  • Array objects
    • The N-dimensional array (ndarray)
      • numpy.ndarray
      • numpy.ndarray.flags
      • numpy.ndarray.shape
      • numpy.ndarray.strides
      • numpy.ndarray.ndim
      • numpy.ndarray.data
      • numpy.ndarray.size
      • numpy.ndarray.itemsize
      • numpy.ndarray.nbytes
      • numpy.ndarray.base
      • numpy.ndarray.dtype
      • numpy.ndarray.T
      • numpy.ndarray.real
      • numpy.ndarray.imag
      • numpy.ndarray.flat
      • numpy.ndarray.ctypes
      • numpy.ndarray.item
      • numpy.ndarray.tolist
      • numpy.ndarray.tostring
      • numpy.ndarray.tobytes
      • numpy.ndarray.tofile
      • numpy.ndarray.dump
      • numpy.ndarray.dumps
      • numpy.ndarray.astype
      • numpy.ndarray.byteswap
      • numpy.ndarray.copy
      • numpy.ndarray.view
      • numpy.ndarray.getfield
      • numpy.ndarray.setflags
      • numpy.ndarray.fill
      • numpy.ndarray.reshape
      • numpy.ndarray.resize
      • numpy.ndarray.transpose
      • numpy.ndarray.swapaxes
      • numpy.ndarray.flatten
      • numpy.ndarray.ravel
      • numpy.ndarray.squeeze
      • numpy.ndarray.take
      • numpy.ndarray.put
      • numpy.ndarray.repeat
      • numpy.ndarray.choose
      • numpy.ndarray.sort
      • numpy.ndarray.argsort
      • numpy.ndarray.partition
      • numpy.ndarray.argpartition
      • numpy.ndarray.searchsorted
      • numpy.ndarray.nonzero
      • numpy.ndarray.compress
      • numpy.ndarray.diagonal
      • numpy.ndarray.max
      • numpy.ndarray.argmax
      • numpy.ndarray.min
      • numpy.ndarray.argmin
      • numpy.ndarray.clip
      • numpy.ndarray.conj
      • numpy.ndarray.round
      • numpy.ndarray.trace
      • numpy.ndarray.sum
      • numpy.ndarray.cumsum
      • numpy.ndarray.mean
      • numpy.ndarray.var
      • numpy.ndarray.std
      • numpy.ndarray.prod
      • numpy.ndarray.cumprod
      • numpy.ndarray.all
      • numpy.ndarray.any
      • numpy.ndarray.__lt__
      • numpy.ndarray.__le__
      • numpy.ndarray.__gt__
      • numpy.ndarray.__ge__
      • numpy.ndarray.__eq__
      • numpy.ndarray.__ne__
      • numpy.ndarray.__bool__
      • numpy.ndarray.__neg__
      • numpy.ndarray.__pos__
      • numpy.ndarray.__abs__
      • numpy.ndarray.__invert__
      • numpy.ndarray.__add__
      • numpy.ndarray.__sub__
      • numpy.ndarray.__mul__
      • numpy.ndarray.__truediv__
      • numpy.ndarray.__floordiv__
      • numpy.ndarray.__mod__
      • numpy.ndarray.__divmod__
      • numpy.ndarray.__pow__
      • numpy.ndarray.__lshift__
      • numpy.ndarray.__rshift__
      • numpy.ndarray.__and__
      • numpy.ndarray.__or__
      • numpy.ndarray.__xor__
      • numpy.ndarray.__iadd__
      • numpy.ndarray.__isub__
      • numpy.ndarray.__imul__
      • numpy.ndarray.__itruediv__
      • numpy.ndarray.__ifloordiv__
      • numpy.ndarray.__imod__
      • numpy.ndarray.__ipow__
      • numpy.ndarray.__ilshift__
      • numpy.ndarray.__irshift__
      • numpy.ndarray.__iand__
      • numpy.ndarray.__ior__
      • numpy.ndarray.__ixor__
      • numpy.ndarray.__matmul__
      • numpy.ndarray.__copy__
      • numpy.ndarray.__deepcopy__
      • numpy.ndarray.__reduce__
      • numpy.ndarray.__setstate__
      • numpy.ndarray.__new__
      • numpy.ndarray.__array__
      • numpy.ndarray.__array_wrap__
      • numpy.ndarray.__len__
      • numpy.ndarray.__getitem__
      • numpy.ndarray.__setitem__
      • numpy.ndarray.__contains__
      • numpy.ndarray.__int__
      • numpy.ndarray.__float__
      • numpy.ndarray.__complex__
      • numpy.ndarray.__str__
      • numpy.ndarray.__repr__
      • numpy.ndarray.__class_getitem__
    • Scalars
    • Data type objects (dtype)
    • Data type promotion in NumPy
    • Iterating over arrays
    • Standard array subclasses
    • Masked arrays
    • The array interface protocol
    • Datetimes and timedeltas
  • Universal functions (ufunc)
  • Routines and objects by topic
  • 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
  • Array objects
  • The N-dimensional array (ndarray)
  • numpy.ndarray.__float__

numpy.ndarray.__float__#

method

ndarray.__float__(self)#

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numpy.ndarray.__complex__

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  • ndarray.__float__

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