为什么一个numpy数组有96个字节的开销? [英] Why does a numpy array have 96 bytes of overhead?

问题描述

如果我使用一个简单且空的numpy数组，我可以看到它有96个字节的开销，

If I take a simply and empty numpy array i can see it has 96 bytes of overhead,

>>> sys.getsizeof( np.array([]) )
96

那96个字节存储了什么?

What is that 96 bytes storing? Where in the C source for numpy or Python 3 (cpython) is this set up?

推荐答案

数组在 numpy/core/include/numpy/ndarraytypes.h

请参阅: https://github.com. com/numpy/numpy/blob/master/numpy/core/include/numpy/ndarraytypes.h

看起来它有多个指针，维数和PyObject_HEAD，所有这些指针总数可能等于您看到的字节数.

Looks like it has several pointers, number of dimensions and PyObject_HEAD, which all may in total count to number of bytes you see.

/*                                                                                                                                                                                                                                            
 * The main array object structure.                                                                                                                                                                                                           
 */
/* This struct will be moved to a private header in a future release */
typedef struct tagPyArrayObject_fields {
    PyObject_HEAD
    /* Pointer to the raw data buffer */
    char *data;
    /* The number of dimensions, also called 'ndim' */
    int nd;
    /* The size in each dimension, also called 'shape' */
    npy_intp *dimensions;
    /*                                                                                                                                                                                                                                        
     * Number of bytes to jump to get to the                                                                                                                                                                                                  
     * next element in each dimension                                                                                                                                                                                                         
     */
    npy_intp *strides;

    PyObject *base;
    /* Pointer to type structure */
    PyArray_Descr *descr;
    /* Flags describing array -- see below */
    int flags;
    /* For weak references */
    PyObject *weakreflist;
} PyArrayObject_fields;

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