ndarray.clip()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.clip(min=None, max=None, out=None) Return an array whose values are limited to [min, max]. One of max

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ndarray.tobytes()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.tobytes(order='C') Construct Python bytes containing the raw data bytes in the array. Constructs Python

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ndarray.
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.__irshift__ x.__irshift__(y) <==> x>>=y

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ndarray.
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.__ixor__ x.__ixor__(y) <==> x^=y

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ndarray.mean()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.mean(axis=None, dtype=None, out=None, keepdims=False) Returns the average of the array elements along given axis.

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ndarray.
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.__ifloordiv__ x.__ifloordiv__(y) <==> x//y

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ndarray.setflags()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.setflags(write=None, align=None, uic=None) Set array flags WRITEABLE, ALIGNED, and UPDATEIFCOPY, respectively

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ndarray.
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.__invert__ x.__invert__() <==> ~x

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ndarray.
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.__ipow__ x.__ipow__(y) <==> x**=y

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ndarray.
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.__pow__(y[, z]) <==> pow(x, y[, z])

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