NumPy - frombuffer() function
The NumPy frombuffer() function is used to interpret a buffer as a 1-dimensional array. The syntax for using this function is given below:
Syntax
numpy.frombuffer(buffer, dtype=float, count=-1, offset=0)
Parameters
buffer |
Required. Specify an object that exposes the buffer interface. |
dtype |
Optional. Specify the desired data type. Default is float. |
count |
Optional. Specify the number of items to read. Default is -1 which means all data in the buffer. |
offset |
Optional. Start reading the buffer from this offset (in bytes). Default is 0. |
Return Value
Returns array version of the buffer.
Example:
In the example below, the frombuffer() function is used to create a numpy array from a buffer.
import numpy as np
x = b"Hello World"
#creating 1-D numpy array from buffer
Arr1 = np.frombuffer(x, dtype='S1')
print("Arr1 is:", Arr1)
#using count parameter
Arr2 = np.frombuffer(x, dtype='S1', count=5)
print("\nArr2 is:", Arr2)
#using count and offset parameter
Arr3 = np.frombuffer(x, dtype='S1', count=5, offset=6)
print("\nArr3 is:", Arr3)
The output of the above code will be:
Arr1 is: [b'H' b'e' b'l' b'l' b'o' b' ' b'W' b'o' b'r' b'l' b'd'] Arr2 is: [b'H' b'e' b'l' b'l' b'o'] Arr3 is: [b'W' b'o' b'r' b'l' b'd']
❮ NumPy - Functions
