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NumPy | fromiter method

schedule Aug 10, 2023

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Parameters Return value Examples Basic usage Specifying count

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Numpy's fromiter(~) method constructs a Numpy array from an iterable object (e.g. lists and strings).

Parameters

1. iterable | iterable object

An iterable object such as lists and strings.

2. dtype | string or type

The data type of the resulting array.

3. countlink | int | optional

The number of values to read from iterable. By default, count=-1, which means that all values are read.

NOTE

Specify count to improve performance

By specifying count, Numpy can create an array of fixed size upfront without having to dynamically resize the array during iteration.

Return value

A Numpy array.

Examples

Basic usage

To create a Numpy array from a Python list:


        
        
            
                
                
                    x = [3,4,5]
np.fromiter(x, dtype=int)
                
            
            array([3, 4, 5])

To create a Numpy array from a byte string:


        
        
            
                
                
                    x = "Cats"
np.fromiter(x, dtype="S1")
                
            
            array([b'C', b'a', b't', b's'], dtype='|S1')

Here, the data-type S1 just means a string of length 1.

Specifying count

To only consider the first 2 items:


        
        
            
                
                
                    x = [3,4,5]
np.fromiter(x, dtype=int, count=2)
                
            
            array([3, 4])

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Published by Isshin Inada

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