Numpy fromiter - Python NumPy fromiter() Function

NumPy fromiter() Function:

Numpy fromiter: The fromiter() function of the NumPy module creates a new 1-dimensional array from an iterable object.

Syntax:

numpy.fromiter(iterable, dtype, count=-1)

Parameters

iterable: This is required. It is an iterable object that provides data for the array.

dtype: This is required. It denotes the data type of the array returned.

count: This is optional. It represents the number of items to read from an iterable. The default value is -1, which means that all the data is read.

Return Value:

An array created from an iterable object is returned

NumPy fromiter() Function in Python

Example1

Approach:

Import numpy module using the import keyword
Get the square of values from 0 to n(random number) using tuple compherension
Store it in a variable.
Pass the above iterable, datatype as float as arguments fromiter() function of
numpy module to create a numpy array from the given iterable
Store it in another variable.
Print the above-obtained result array.
The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Get the square of values from 0 to n(random number) using tuple compherension
# Store it in a variable.
gvn_itrable = (p*p for p in range(10))

# Pass the above iterable, datatype as float as arguments to the fromiter() function of 
# numpy module to create a numpy array from the given iterable
# Store it in another variable.
rslt_arry = np.fromiter(gvn_itrable, dtype=float)
# Print the above obtained result array
print(rslt_arry)

Output:

[ 0. 1. 4. 9. 16. 25. 36. 49. 64. 81.]

Example2

Approach:

Import numpy module using the import keyword
Get the square of values from 0 to n(random number) using tuple compherension
Store it in a variable.
Pass the above iterable, datatype as float, some random count as arguments to the fromiter() function of numpy module to create a numpy array from the given iterable of count number of values.
Store it in another variable.
Here it prints the first 6 elements.
Print the above-obtained result array.
The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Get the square of values from 0 to n(random number) using tuple compherension
# Store it in a variable.
gvn_itrable = (p*p for p in range(10))

# Pass the above iterable, datatype as float, some random count as arguments to the 
# fromiter() function of numpy module to create a numpy array from the given iterable
# of count number of values.
# Store it in another variable.
# Here it prints the first 6 elements.
rslt_arry = np.fromiter(gvn_itrable, dtype=float, count=6)
# Print the above obtained result array
print(rslt_arry)

Output:

[ 0. 1. 4. 9. 16. 25.]

Numpy fromiter – Python NumPy fromiter() Function

NumPy fromiter() Function in Python

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