Python Numpy hsplit()
Description :
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 an array of n dimensions.
Method Name :NumPy.hsplit(ary, indices_or_sections)
Description : This function is used to split the multiple sub-array horizontally i.e column wise which is equivalent to split axis-1 which regardless of the dimension of the array. We can also call this function a special case of a split() function of n dimensions.
In this article, I will tell you about the parameter and description
Parameter Name: ary
Description :ndarray
Input array to be split into sub-arrays.
Parameter Name: indices_or_sections
Description :int or 1-D array
It can be an integer, N, showing the number of equal sized subarrays to be formed from the input array along an axis. If this parameter is a 1-D array of sorted integers, the entries indicate the points at which a new subarray is to be created along the axis.
Return :A list of sub-arrays is showing into ary.
The first step would be to give syntax
command:
numpy.hsplit(ary, indices_or_sections)
Example :
Code :
import numpy as np
a = np.arange(25).reshape(5,5)
print ('First array:')
print (a )
print ('\n' )
print ('Horizontal splitting:')
b = np.hsplit(a,5)
print (b )
print ('\n')
Output :
Example :
Code :
import numpy as np
arr = np.arange(9).reshape(3,3)
abc = np.hsplit(arr, 3)
print (abc)
Output :
More Articles of kartik kumar:
| Name | Views | Likes |
|---|---|---|
| Python Numpy ndarray flatten() | 325 | 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() | 263 | 0 |
| Python Numpy random random_sample() | 253 | 0 |
| Python Numpy random random() | 284 | 0 |
| Python Numpy random() | 242 | 0 |
| Python Numpy random ranf() | 295 | 0 |
| Python Numpy squeeze() | 307 | 0 |
| Python Numpy Masked Array reshape() | 313 | 0 |
| Python Numpy vsplit() | 309 | 0 |
| Python Numpy hsplit() | 335 | 0 |
| Python Numpy split() | 301 | 0 |
| Python Numpy rollaxis() | 318 | 0 |
| Python Numpy swapaxes() | 306 | 0 |
| Python Numpy moveaxis() | 430 | 0 |
| Python Numpy Array Shape | 264 | 0 |
| Python Numpy matrix.resize() | 431 | 0 |
| Python Introduction to NumPy Array Manipulation | 233 | 0 |
| Python pty openpty() | 578 | 0 |
| Python pty fork() | 417 | 0 |
| Python Introduction to pty Module | 292 | 0 |
Comments