numpy.reshape() in Python

numpy.ma.row_stack() in Python

Last Updated : 16 Jul, 2018

numpy.ma.row_stack() : This function helps stacking arrays row wise in sequence vertically manner. Parameters :

tup : sequence of ndarrays. 1D arrays must have same length, arrays must have the same shape along with all the axis.

Result :

Row-wise stacked arrays

Code #1: Explaining row_stack()

Python3 1==

# importing libraries
import numpy as np

# row_stacking array
a = np.array([1, 2, 3])
arr = np.ma.row_stack (a)

print ("arr : \n", arr)

# row_stacking array
b = np.array([[1], [2], [3]])
arr1 = np.ma.row_stack (b)

print ("\narr1 : \n", arr1)

Output :

arr : 
 [[1]
 [2]
 [3]]

arr1 : 
 [[1]
 [2]
 [3]]

Code #2: Error generated with row_stack()

Python3 1==

# importing libraries
import numpy as np

# row_stacking array

b = np.array([[1, 1], [2], [3]])
arr1 = np.ma.row_stack (b)

print ("\narr1 : \n", arr1)

Output :

ValueError: all the input array dimensions except for the concatenation axis must match exactly.

numpy.reshape() in Python

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