×

numpy.empty() in Python

numpy.empty() in Python

The empty() method of Python numpy class returns a new array of the specified shape and type, without initializing the entries.

Syntax

numpy.empty(shape, dtype=float, order='C')

Parameters

The numpy.empty method consists of three parameters, which are as follows:

shape : This parameter represents the number of rows

order : The order parameter can be either C_contiguous or F_contiguous.

dtype : It is an optional parameter. It depicts the data type of returned array, and by default, it is a float.

Return Value

This method returns a new array of given shape and type by taking random values.

Example 1

# Python Programming giving an example for
# numpy.empty method
import numpy as numpy
val1 = numpy.empty(2, dtype = int)
print("Matrix  : \n", val1)
val2 = numpy.empty([2, 2], dtype = int)
print("\nMatrix : \n", val2)
val3 = numpy.empty([3, 3])
print("\nMatrix : \n", val3)

Output

Matrix :
[139996246714312        25427984]
Matrix :
[[       21723728 139996211415920]
[139996230611832               0]]
Matrix :
[[  0.00000000e+000   4.99262426e-317   4.99256102e-317]
[  4.99294046e-317   4.99294046e-317   4.99287722e-317]
[  4.99430013e-317   4.99287722e-317   3.95252517e-322]]

Example 2

# Python Programming giving an example for
# numpy.empty method
import numpy as np
#passing dtype as int
val1 = np.empty([2, 2], dtype=int)
print("Matrix : \n", val1)

Output

Matrix :
[[       11263440 140251552682112]
[              0 140251553341032]]

Related Topics

numpy.append() in Python

numpy.append() in Python The numpy.append() function appends the values to the end of an array. Syntax numpy.append(arr, values, axis=None) Parameter The numpy.append() function consists of three parameters, which are as follows: arr : This parameter represents the values that are...

1 minute read.

numpy.full() in Python

numpy.full() in Python The full() method of Python numpy class returns a new array of specified shape and type, filled with fill_value. Syntax numpy.full(shape, fill_value, dtype=None, order='C') Parameter shape:This parameter represents the number of rows order :The order parameter can...

1 minute read.

numpy.ascontiguousarray() in Python with Example

numpy.ascontiguousarray() in Python The ascontiguousarray() returns a contiguous array (ndim>= 1) in memory (C order). Syntax numpy.ascontiguousarray(a, dtype=None) Parameter arr : This parameter includes the input data, in any form that can be converted to an array....

1 minute read.

numpy.loadtxt() Python

Python numpy.loadtxt() The loadtxt() function of Python numpy class loads the data from a text fileand provides a fast reader for simple text files. Syntax numpy.loadtxt(fname, dtype=<class'float'>, comments='#', delimiter=None, converters=None, skiprows=0, usecols=None, unpack=False, ndmin=0, encoding='bytes', max_rows=None) Parameter fname : This parameter represents a file, filename, or...

2 minutes read.

numpy.broadcast_to() in Python

numpy.broadcast_to() in Python The numpy.broadcast_to() function broadcasts an array to a new shape. Syntax numpy.broadcast_to(array, shape, subok=False) Parameter The numpy.broadcast_to() function has three parameters which are as follows:  array: This parameter represents the array to broadcast. shape: It signifies the shape...

1 minute read.

numpy.meshgrid() in Python

numpy.meshgrid() in Python The meshgrid() function of Python numpy class returns the coordinate matrices from coordinate vectors. Syntax numpy.meshgrid(*xi, **kwargs) Parameter The numpy.meshgrid() function consists of four parameters which are as follow: x1, x2,…, xn: This parameter signifies...

2 minutes read.

Numpy Attributes

Numpy Attributes The Numpy collections give attributes to the numpy arrays. These attributes assist us with knowing the shape, aspect, and different properties of a given numpy array. As we know,...

4 minutes read.

numpy.reshape() in Python

numpy.reshape() in Python The numpy.reshape() function gives a new shape to an array without changing its data. Syntax numpy.reshape(a, newshape, order='C') Parameter The numpy.reshape() method consists of three parameters, which are as follows: array : It represents our...

1 minute read.

numpy.expand_dims() in Python

numpy.expand_dims() in Python The numpy.expand_dims() function expands the shape of an array. It Inserts a new axis that appears at the axis position in the expanded array shape. Syntax numpy.expand_dims(a, axis) Parameter The numpy.expand_dims() function has two parameters...

1 minute read.

numpy.stack() in Python

numpy.stack() in Python The numpy.stack() function joins a sequence of arrays along a new axis. Syntax numpy.stack(arrays, axis=0, out=None) Parameter arrays: This parameter represents a sequence of the array where each array have the same shape. axis: It is an...

1 minute read.

numpy.asanyarray() in Python with Example

numpy.asanyarray() in Python The asanyarray() function of Python numpy class converts the input to an ndarray, but pass ndarray subclasses through. Syntax numpy.asanyarray(a, dtype=None, order=None) Parameter arr : This parameter includes the input data, in any form that...

1 minute read.

numpy.eye() in Python

numpy.eye() in Python: The eye() method of Python numpy class returns a 2-D array with ones on the diagonal and zeros elsewhere. Syntax numpy.eye(N, M=None, k=0, dtype=<class 'float'>, order='C') Parameters The numpy.eye()  method consists of five parameters, which...

1 minute read.

numpy.fromstring () in Python

numpy.fromstring () in Python The fromstring() function of Python numpy class creates a new 1-D array initialized from raw binary or text data in a string. Syntax numpy.fromstring(string, dtype=float, count=-1, sep='') Parameter The numpy.fromstring() method...

1 minute read.

numpy.copyto() in Python

numpy.copyto() in Python The numpy.copyto() function copies values from one array to another array. Syntax numpy.copyto(dst, src, casting='same_kind', where=True) Parameter The numpy. copyto() method consists of three parameters, which are as follows: dst : It represents the array into which our...

1 minute read.

numpy.frombuffer() in Python

numpy.frombuffer() in Python The frombuffer()  function of Python numpy class creates an array by using the given buffer. Syntax numpy.frombuffer(buffer, dtype=float, count=-1, offset=0) Parameter The numpy.frombuffer() method consists of four parameters, which are as follows: buffer: This parameter...

1 minute read.

numpy.arrange() in Python

Python numpy.arrange() The arrange() function of Python numpy class returns an array with equally spaced elements as per the interval where the interval mentioned is half opened, i.e. [Start, Stop). Syntax numpy.arange([start, ]stop, [step, ]dtype=None) Parameter start :It...

1 minute read.

numpy.atleast_2d() in Python

numpy.atleast_2d() in Python The numpy.atleast_2d() function converts the inputs as arrays with at least two dimensions. Syntax numpy.atleast_2d(*arys) Parameter arys1, arys2, … : This parameter represents one or more array-like sequences where the non-array inputs are converted...

1 minute read.

numpy.tri() in Python

numpy.tri() in Python The tri() function of Python numpy class returns an array with ones at and below the given diagonal(k value) and zeros elsewhere. Syntax numpy.tri(N, M=None, k=0, dtype=<class 'float'>) Parameter R : It represents the number...

1 minute read.

numpy.repeat() in Python

numpy.repeat() in Python The numpy.repeat() function repeats the elements of an array. Syntax numpy.repeat(a, repeats, axis=None) Parameter The numpy.repeat() function consists of three parameters, which are as follows: a: This parameter represents the input array. repeats: This parameter represents the...

1 minute read.

numpy.transpose() in Python

numpy.transpose() in Python The numpy.transpose() permutes the dimensions of an array. Syntax numpy.transpose(a, axes=None) Parameter a : This parameter represents an input array. axes : It is an optional parameter which by default, reverses the dimensions, otherwise permutes the axes according...

1 minute read.