What is the numpy.ma.frombuffer() function in Python?
Overview
The ma.frombuffer() function in Python is interprets a buffer as a one dimensional (1-D) array.
Syntax
ma.frombuffer(buffer, dtype=float, count=- 1, offset=0, *, like=None) = <numpy.ma.core._convert2ma object>
Syntax of the ma.frombuffer() function
Parameter value
The ma.frombuffer() function takes the following parameter values:
buffer: This represents an object which exposes the buffer interface. This is required.dtype: This represents the data type of the output or the returned array. This is optional.count: This represents the number of items to be read from the buffer. A value of-1indicates all the items are present in the buffer. This is optional.offset: This represents the offset from which we start reading the buffer. This is optional.like: This represents a reference object to allow the creation of arrays that are notNumPyarrays.
Return value
The ma.frombuffer() function returns a 1-D array.
Example
import numpy as np# creating a bufferx = b'Hi how are you?'# implementing the ma.frombuffer() functionmyarray=np.frombuffer(x, dtype='S1', count=10, offset=3)print(myarray)
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