Python | Numpy ndarray.item()

Numpy ndarray.getfield() function | Python

Last Updated : 22 Apr, 2020

numpy.ndarray.getfield() function return a field of the given array as a certain type.

Syntax : numpy.ndarray.getfield(dtype, offset=0) Parameters : dtype : [str or dtype] The dtype size of the view can not be larger than that of the array itself. offset : [int] Number of bytes to skip before beginning the element view. Return : Returns a field of the given array as a certain type.

Code #1 :

Python3

# Python program explaining
# numpy.ndarray.getfield() function

# importing numpy as geek 
import numpy as geek 
          
x = geek.diag([1.+1.j]*2)
          
gfg = x.getfield(geek.float64)
    
print(gfg)

Output :

[[ 1.  0.]
 [ 0.  1.]]

Code #2 :

Python3

# Python program explaining
# numpy.ndarray.getfield() function

# importing numpy as geek 
import numpy as geek 
          
x = geek.diag([2.+2.j]*2)
          
gfg = x.getfield(geek.float64, offset = 8)
    
print(gfg)

Output :

[[ 2.  0.]
 [ 0.  2.]]

Python | Numpy ndarray.item()

sanjoy_62

Improve

Article Tags :

Practice Tags :

Similar Reads

Numpy ndarray.flatten() function in Python

The flatten() function is used to convert a multi-dimensional NumPy array into a one-dimensional array. It creates a new copy of the data so that original array stays unchanged. If your array has rows and columns or even more dimensions, then flatten() line up every single value into a straight list

Numpy ndarray.tobytes() function | Python

numpy.ndarray.tobytes() function construct Python bytes containing the raw data bytes in the array. Syntax : numpy.ndarray.tobytes(order='C') Parameters : order : [{â€˜Câ€™, â€˜Fâ€™, None}, optional] Order of the data for multidimensional arrays: C, Fortran, or the same as for the original array. Return : P

Numpy ndarray.setfield() function | Python

numpy.ndarray.setfield() function Put a value into a specified place in a field defined by a data-type. Place val into aâ€™s field defined by dtype and beginning offset bytes into the field. Syntax : numpy.ndarray.setfield(val, dtype, offset=0) Parameters : val : [object] Value to be placed in field.

Python | Numpy ndarray.__iand__()

With the help of Numpy ndarray.__iand__() method, we can get the elements that is anded by the value that is provided as a parameter in numpy.ndarray.__iand__() method. Syntax: ndarray.__iand__($self, value, /) Return: self&=value Example #1 : In this example we can see that every element is and

Python | Numpy ndarray.item()

With the help of numpy.ndarray.item() method, we can fetch the data elements that is found at the given index on numpy array. Remember we can give index as one dimensional parameter or can be two dimensional. Parameters: *args : Arguments (variable number and type) -> none: This argument only works

numpy.ndarray.fill() in Python

numpy.ndarray.fill() method is used to fill the numpy array with a scalar value. If we have to initialize a numpy array with an identical value then we use numpy.ndarray.fill(). Suppose we have to create a NumPy array a of length n, each element of which is v. Then we use this function as a.fill(v).

numpy.ndarray.flat() in Python

The numpy.ndarray.flat() function is used as a 1_D iterator over N-dimensional arrays.Â It is not a subclass of, Pythonâ€™s built-in iterator object, otherwise it a numpy.flatiter instance.Â Syntax :Â numpy.ndarray.flat() Parameters :Â index : [tuple(int)] index of the values to iterate Return :Â Â 1-D i

Python | Numpy ndarray.__imod__()

With the help of Numpy ndarray.__imod__(), every element in an array is operated on binary operator i.e mod(%). Remember we can use any type of values in an array and value for mod is applied as the parameter in ndarray.__imod__(). Syntax: ndarray.__imod__($self, value, /) Return: self%=value Exampl

numpy.info() function in Python

In Numpy we can get all the information about the function, class, or module like what will the parameter and what will be the type of the return value with the help of numpy.info() function. This function returns the help information for a function, class, or module. Syntax: numpy.info(numpy.info(o

Python | Numpy ndarray.__ior__()

With the help of Numpy ndarray.__ior__() method, we can get the elements that is OR by the value that is provided as a parameter in numpy.ndarray.__ior__() method. Syntax: ndarray.__ior__($self, value, /) Return: self|=value Example #1 : In this example we can see that every element is or by the val