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Buffer Objects — Python v3.0 documentation

Buffer Objects¶

Python objects implemented in C can export a “buffer interface.” These functions can be used by an object to expose its data in a raw, byte-oriented format. Clients of the object can use the buffer interface to access the object data directly, without needing to copy it first.

Two examples of objects that support the buffer interface are bytes and arrays. The bytes object exposes the character contents in the buffer interface’s byte-oriented form. An array can also expose its contents, but it should be noted that array elements may be multi-byte values.

An example user of the buffer interface is the file object’s write() method. Any object that can export a series of bytes through the buffer interface can be written to a file. There are a number of format codes to PyArg_ParseTuple that operate against an object’s buffer interface, returning data from the target object.

More information on the buffer interface is provided in the section Buffer Object Structures, under the description for PyBufferProcs.

Buffer objects are useful as a way to expose the data from another object’s buffer interface to the Python programmer. They can also be used as a zero-copy slicing mechanism. Using their ability to reference a block of memory, it is possible to expose any data to the Python programmer quite easily. The memory could be a large, constant array in a C extension, it could be a raw block of memory for manipulation before passing to an operating system library, or it could be used to pass around structured data in its native, in-memory format.

void *buf¶
A pointer to the start of the memory for the object.
Py_ssize_t len
The total length of the memory in bytes.
int readonly¶
An indicator of whether the buffer is read only.
const char *format
A NULL terminated string in struct module style syntax giving the contents of the elements available through the buffer. If this is NULL, "B" (unsigned bytes) is assumed.
int ndim¶
The number of dimensions the memory represents as a multi-dimensional array. If it is 0, strides and suboffsets must be NULL.
Py_ssize_t *shape¶
An array of Py_ssize_ts the length of ndim giving the shape of the memory as a multi-dimensional array. Note that ((*shape)[0] * ... * (*shape)[ndims-1])*itemsize should be equal to len.
Py_ssize_t *strides¶
An array of Py_ssize_ts the length of ndim giving the number of bytes to skip to get to a new element in each dimension.
Py_ssize_t *suboffsets¶

An array of Py_ssize_ts the length of ndim. If these suboffset numbers are greater than or equal to 0, then the value stored along the indicated dimension is a pointer and the suboffset value dictates how many bytes to add to the pointer after de-referencing. A suboffset value that it negative indicates that no de-referencing should occur (striding in a contiguous memory block).

Here is a function that returns a pointer to the element in an N-D array pointed to by an N-dimesional index when there are both non-NULL strides and suboffsets:

void *get_item_pointer(int ndim, void *buf, Py_ssize_t *strides,
    Py_ssize_t *suboffsets, Py_ssize_t *indices) {
    char *pointer = (char*)buf;
    int i;
    for (i = 0; i < ndim; i++) {
        pointer += strides[i] * indices[i];
        if (suboffsets[i] >=0 ) {
            pointer = *((char**)pointer) + suboffsets[i];
    return (void*)pointer;
Py_ssize_t itemsize¶
This is a storage for the itemsize (in bytes) of each element of the shared memory. It is technically un-necessary as it can be obtained using PyBuffer_SizeFromFormat, however an exporter may know this information without parsing the format string and it is necessary to know the itemsize for proper interpretation of striding. Therefore, storing it is more convenient and faster.
void *internal¶
This is for use internally by the exporting object. For example, this might be re-cast as an integer by the exporter and used to store flags about whether or not the shape, strides, and suboffsets arrays must be freed when the buffer is released. The consumer should never alter this value.

MemoryView objects¶

A memoryview object is an extended buffer object that could replace the buffer object (but doesn’t have to as that could be kept as a simple 1-d memoryview object). It, unlike Py_buffer, is a Python object (exposed as memoryview in builtins), so it can be used with Python code.

PyObject* PyMemoryView_FromObject(PyObject *obj)¶
Return a memoryview object from an object that defines the buffer interface.