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• numpy.ndarray.view

  ...Array objects The N-dimensional array (ndarray) numpy.ndarray numpy.ndarray.view...

• numpy.ndarray.view (Python method, in numpy.ndarray.view)
• Array creation

  ...gn an array or its elements to a new variable, you have to explicitly numpy.copy the array, otherwise the variable is a view into the original array. Consider the following example: >>> import numpy as np >>> a = np.array([1, 2, 3, 4, 5, 6]...

• Array iterator API

  ...The result points into iter, so the caller does not gain any references to the PyObjects. PyObject *NpyIter_GetIterView(NpyIter *iter, npy_intp i) This gives back a reference to a new ndarray view, which is a view into the i-th object...

• Byte-swapping

  ...s an object that provides a python array interface to data in memory. It often happens that the memory that you want to view with an array is not of the same byte ordering as the computer on which you are running Python. For example, I migh...

• Constants of the numpy.ma module

  ...tes and properties of masked arrays See also Array Attributes ma.MaskedArray.data Returns the underlying data, as a view of the masked array. If the underlying data is a subclass of numpy.ndarray, it is returned as such. >>> x = np.ma.a...

• Copies and views

  ...NumPy user guide NumPy fundamentals Copies and views...

• How to index ndarrays

  ...re x[0, 1, 2]. Index the same ndarray multiple times efficiently It must be kept in mind that basic indexing produces views and advanced indexing produces copies, which are computationally less efficient. Hence, you should take care to us...

• Indexing on ndarrays

  ...d, and that what is returned is an array of that dimensionality and size. It must be noted that the returned array is a view, i.e., it is not a copy of the original, but points to the same values in memory as does the original array. In th...

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