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NumPy | frombuffer method

schedule Aug 12, 2023

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Parameters Return value Examples Basic usage Specifying count Specifying offset

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Numpy's frombuffer(~) method constructs a Numpy array from a buffer.

Parameters

1. buffer | buffer_like

An object with a buffer interface.

2. dtypelink | string or type | optional

The data type of the resulting array. By default, dtype=float.

3. countlink | int | optional

The number of items to read from the buffer. By default, count=-1, which means that all items are read.

4. offsetlink | int | optional

The integer index from which to start reading the buffer (inclusive). By default, offset=0.

Return value

A Numpy array.

Examples

Basic usage

To create a Numpy array from a byte string:


        
        
            
                
                
                    x = b"cats."
np.frombuffer(x, dtype="S1")
                
            
            array([b'c', b'a', b't', b's', b'.'], dtype='|S1')

A couple of things to note here:

the b is used to encode our string from unicode into bytes.
the data-type S1 just means a string of length 1.

Specifying count

To only consider the first 2 items:


        
        
            
                
                
                    x = b"cats."
np.frombuffer(x, dtype="S1", count=2)
                
            
            array([b'c', b'a'], dtype='|S1')

Specifying offset

To start reading from a specific index:


        
        
            
                
                
                    np.frombuffer(x, dtype="S1", offset=1)
                
            
            array([b'a', b't', b's', b'.'], dtype='|S1')

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Published by Isshin Inada

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