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

ndarray.max(axis=None, out=None) Return the maximum along a given axis. Refer to

2025-01-10 15:47:30
ndarray.prod()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.prod(axis=None, dtype=None, out=None, keepdims=False) Return the product of the array elements over the given axis

2025-01-10 15:47:30
ndarray.round()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.round(decimals=0, out=None) Return a with each element rounded to the given number of decimals.

2025-01-10 15:47:30
ndarray.item()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.item(*args) Copy an element of an array to a standard Python scalar and return it.

2025-01-10 15:47:30
ndarray.base
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.base Base object if memory is from some other object. Examples The base of an array

2025-01-10 15:47:30
ndarray.argsort()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.argsort(axis=-1, kind='quicksort', order=None) Returns the indices that would sort this array. Refer to

2025-01-10 15:47:30
ndarray.dumps()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.dumps() Returns the pickle of the array as a string. pickle.loads or numpy.loads will convert the string back to

2025-01-10 15:47:30
ndarray.size
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.size Number of elements in the array. Equivalent to np.prod(a.shape), i.e., the product of

2025-01-10 15:47:30
ndarray.ravel()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.ravel([order]) Return a flattened array. Refer to

2025-01-10 15:47:30
ndarray.
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.__int__() <==> int(x)

2025-01-10 15:47:30