Return the array as an a.ndim-levels deep nested list of Python scalars. (Each method’s docstring has aįor the following methods there are also corresponding functions inĬopy an element of an array to a standard Python scalar and return it. The array in some fashion, typically returning an array result. Total bytes consumed by the elements of the array.īase object if memory is from some other object.Īn object to simplify the interaction of the array with the ctypes module.Īn ndarray object has many methods which operate on or with Python buffer object pointing to the start of the array's data. Tuple of bytes to step in each dimension when traversing an array. Information about the memory layout of the array. The following attributes contain information about the memory layout Information on each attribute is given below. The exposed attributes are the core parts of anĪrray and only some of them can be reset meaningfully without creatingĪ new array. ![]() You to get and sometimes set intrinsic properties of the array withoutĬreating a new array. ![]() Generally, accessing an array through its attributes allows Array attributes #Īrray attributes reflect information that is intrinsic to the array ![]() Irregularly strided array is passed in to such algorithms, a copy However, some algorithms require single-segment arrays. Several algorithms in NumPy work on arbitrarily strided arrays.
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