numpy frombuffer

numpy.frombuffer is a function in the NumPy library that creates a new one-dimensional array from an object that exposes a buffer interface. This function takes two arguments:

• buffer: The object that provides the buffer.
• dtype: The data type of the returned array.

The numpy.frombuffer function can be used to create a NumPy array from a buffer-like object, such as a bytes object, a bytearray object, or a memoryview object. This function is useful when you need to work with raw data that is stored in a buffer, such as data that is read from a file or received over a network socket.

Here is an example of using numpy.frombuffer to create a NumPy array from a bytes object:

import numpy as np

# create a bytes object containing binary data
data = b'\x01\x02\x03\x04\x05\x06\x07\x08'

# create a NumPy array from the bytes object
arr = np.frombuffer(data, dtype=np.uint8)

print(arr)
# output: [ 1  2  3  4  5  6  7  8]

In this example, we created a bytes object containing binary data, and then used numpy.frombuffer to create a NumPy array from the bytes object. We specified the data type of the array as np.uint8, which is an 8-bit unsigned integer. The resulting array contains the values from the bytes object, converted to the specified data type.