Python Numpy rollaxis()
Description :
# 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))
NumPy generally stands for Numerical Python and it is a general purpose array processing package.it always provides a high performance multidimensional array object.Numpy is usually for creating array of n dimensions.
Method Name :numpy.rollaxis(a, axis, start=0)
Description : The function rollaxis() is used to roll the specified axis backward as it lies in a specified position. This function continues to be supported for backward compatibility, but you should prefer moveaxis.
In this article, i will tell you about the parameter and its description
Parameter Name: a
Description :ndarray
It represents an input array.
Parameter Name: axis
Description :int
The axis to roll backwards. The positions of the other axes do not change relative to one another.
Parameter Name: start
Description :int,optional
When the start <= axis is showing then the axis is rolled back until it lies in this position. When start > axis is showing the axis is rolled until it lies before this position. The axis is rolled until it lies before this position. The default, 0, results in a "complete" roll.
Return : This function returns a view of parameter %u2018a%u2019. For earlier versions, a view of a is returned only if the order of the axes is changedand if not happen then the input array is returned.
The first step would be to give syntax
command:
numpy.rollaxis(a, axis, start=0)
Example :
Code :
import numpy as np
arr = np.arange(27).reshape(3,3,3)
print ('The original array:')
print (arr)
arr = np.arange(27).reshape(3,3,3)
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 :
More Articles of kartik kumar:
| Name | Views | Likes |
|---|---|---|
| Python Numpy ndarray flatten() | 324 | 0 |
| Python Numpy argmax() | 301 | 0 |
| Python Numpy sort_complex() | 253 | 0 |
| Python Numpy random_integers() | 445 | 0 |
| Python Numpy random choice() | 263 | 0 |
| Python Numpy random randint() | 402 | 0 |
| Python Numpy sample() | 261 | 0 |
| Python Numpy random random_sample() | 252 | 0 |
| Python Numpy random random() | 283 | 0 |
| Python Numpy random() | 241 | 0 |
| Python Numpy random ranf() | 295 | 0 |
| Python Numpy squeeze() | 306 | 0 |
| Python Numpy Masked Array reshape() | 313 | 0 |
| Python Numpy vsplit() | 309 | 0 |
| Python Numpy hsplit() | 334 | 0 |
| Python Numpy split() | 300 | 0 |
| Python Numpy rollaxis() | 318 | 0 |
| Python Numpy swapaxes() | 305 | 0 |
| Python Numpy moveaxis() | 429 | 0 |
| Python Numpy Array Shape | 263 | 0 |
| Python Numpy matrix.resize() | 430 | 0 |
| Python Introduction to NumPy Array Manipulation | 232 | 0 |
| Python pty openpty() | 578 | 0 |
| Python pty fork() | 416 | 0 |
| Python Introduction to pty Module | 291 | 0 |
Comments