NumPy - fromiter() function
The NumPy fromiter() function is used to create a new 1-dimensional array from an iterable object. The syntax for using this function is given below:
Syntax
numpy.fromiter(iterable, dtype, count=-1)
Parameters
iterable |
Required. Specify an iterable object providing data for the array. |
dtype |
Required. Specify the desired data type of returned array. |
count |
Optional. Specify the number of items to read from iterable. The default is -1, which means all data is read. |
Return Value
Returns an array created from iterable object.
Example:
In the example below, the fromiter() function is used to create a numpy array from an iterable object.
import numpy as np
it = (x*x for x in range(5))
#creating numpy array from an iterable
Arr = np.fromiter(it, dtype=float)
print("Arr is:", Arr)
The output of the above code will be:
Arr is: [ 0. 1. 4. 9. 16.]
❮ NumPy - Functions
