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numpy.frombuffer() in Python

numpy.frombuffer() in Python The frombuffer()  function of Python numpy class creates an array by using the given buffer. Syntax
numpy.frombuffer(buffer, dtype=float, count=-1, offset=0)
Parameter The numpy.frombuffer() method consists of four parameters, which are as follows:
  1. buffer: This parameter represents an object that depicts a buffer interface.
  2. dtype: It represents the data type of the returned data type array. It is an optional parameter, and by default,its value is 0.
  3. count: It represents the length of the returned ndarray. It is an optional parameter, and its default value is -1.
  4. offset: It represents the starting position to read from. It is also an optional parameter, and its default value is 0.
Return This function returns the array version of the buffer. Example 1
# Python Programming giving an example for 
# numpy.frombuffer() function
importnumpy as numpy
obj = b'This is my numpy program' 
print(type(obj)) 
n = numpy.frombuffer(obj, dtype = "S1") 
print(n) 
print(type(n))
Output
<class 'bytes'>
[b'T' b'h' b'i' b's' b' ' b'i' b's' b' ' b'm' b'y' b' ' b'n' b'u' b'm' b'p'
b'y' b' ' b'p' b'r' b'o' b'g' b'r' b'a' b'm']
<class 'numpy.ndarray'>

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