×

numpy.rollaxis() in Python

numpy.rollaxis() in Python

The numpy.rollaxis() function rolls the given axis backwards until it lies in the specified position.

Syntax

numpy.rollaxis(a, axis, start=0)

Parameter

The numpy. rollaxis() method consists of three parameters, which are as follows:

a : It represents an input array.

axis : The parameter axis is used to roll backwards. The positions of the other axes do not change relative to one another.

start : It is an optional integer parameter. The axis is rolled until it lies before the start position. The default value is 0, which signifies a “complete” roll.

Return

This function returns a view of parameter ‘a’. 

Example 1

# Python Program explaining
# numpy.rollaxis() function
import numpy as np
arr = np.arange(8).reshape(2,2,2)
print ('The original array:')
print (arr)
# to roll from axis-2 to axis-0
print ('Applying rollaxis() function:')
print (np.rollaxis(arr,2)  )
# to roll from axis 0 to 1 (along width to height)
print('Applying rollaxis() function:' )
print (np.rollaxis(arr,2,1))

Output

The original array:
[[[0 1]
  [2 3]]
[[4 5]
  [6 7]]]
Applying rollaxis() function:
[[[0 2]
  [4 6]]
[[1 3]
  [5 7]]]
Applying rollaxis() function:
[[[0 2]
  [1 3]]
[[4 6]
  [5 7]]]

Related Topics

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.zeros in Python

numpy.zeros in Python The zeros() method of Python numpy class returns a new array of given shape and type, filled with zeros. Syntax numpy.zeros(shape, dtype=float, order='C') Parameter The numpy.zeros() method consists of three parameters, which are as...

1 minute read.

numpy.linspace() in Python

numpy.linspace() in Python The linspace() function of Python numpy class returns the number spaces equally over the given interval i.e.  [start, stop]. Syntax numpy.linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None, axis=0) Parameter start: It is an optional parameter which represents the start of the...

1 minute read.

numpy.asscalar() in Python

The numpy.asscalar() function converts an array of size 1 to its scalar equivalent. Syntax numpy.asscalar(a) Parameter a: This parameter represents an input array of size 1. Return This function returns a scalar representation of parameter ‘a’. The output...

1 minute 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.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.trim_zeros() in Python

numpy.trim_zeros() in Python The numpy.trim_zeros() trims the leading and/or trailing zeros from a 1-D array or sequence. Syntax numpy.trim_zeros(filt, trim='fb') Parameter The numpy.trim_zeros() function consists of two parameters, which are as follows: filt : This parameter represents the 1-D...

1 minute read.

numpy.hstack() in Python

numpy.hstack() in Python The numpy.hstack() function stacks the arrays in a sequence horizontally (column wise). Syntax numpy.hstack(tup) Parameter tup: This parameter represents the sequence of ‘ndarrays’ where the arrays must have the same shape, except 1-D...

1 minute read.

numpy.ones_like() in Python

numpy.ones_like() in Python The one_like() method of Python numpy class returns an array of ones with the same shape and type as the specified array. Syntax numpy.ones_like(a, dtype=None, order='K', subok=True) Parameter The numpy.ones_like() method consists of four parameters,...

1 minute read.

numpy.resize() in Python

numpy.resize() in Python The numpy.resize() returns a new array with the specified shape. If the new array is larger than the original array, then the new array is filled with repeated...

1 minute read.

Numpy.copy() in Python with Example

Numpy.copy() in Python The copy() function of Python numpy class returns an array copy for the given object. Syntax numpy.copy(a, order='K') Parameter a: It represent the array_like input data. order :  This parameter controls the memory layout of...

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.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.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.ones() in Python

numpy.ones() in Python The ones() method of Python numpy class returns a new array of given shape and type, filled with ones. Syntax numpy.ones(shape, dtype=None, order='C') Parameter The numpy.ones() method consists of three parameters, which are as...

1 minute read.

Numpy.asmatrix() in Python with Example

Numpy.asmatrix() in Python The asmatrix() function returns the specified input as a matrix. It does not make a copy if the input is already a matrix or an ndarray. Syntax numpy.asmatrix(data, dtype=None) Parameter data  :This parameter...

1 minute read.

numpy.atleast_3d() in Python

numpy.atleast_3d() in Python The numpy.atleast_3d() function views the inputs as arrays with at least three dimensions. Syntax numpy.atleast_3d(*arys) Parameter arys1, arys2, … : This parameter represents one or more array-like sequences where the non-array inputs are converted...

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.tile() in Python

numpy.tile() in Python The numpy.tile() function constructs an array by repeating the parameter ‘A’  the number of times as specified by the ‘reps’ parameter. Syntax numpy.tile(A, reps) Parameter The numpy.tile() function consists of two parameters, which...

1 minute read.

numpy.asarray() in Python

numpy.asarray() in Python The numpy.asarray()function is used to convert the input to an array. Input includes lists, lists of tuples, tuples, tuples of tuples,etc,. Syntax numpy.asarray(a, dtype=None, order=None) Parameter arr : This parameter includes theinput data, in any...

1 minute read.