numpy.ma.row_stack() in Python
Last Updated :
16 Jul, 2018
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numpy.ma.row_stack() : This function helps stacking arrays row wise in sequence vertically manner.
Parameters :
Python3 1==
Output :
Python3 1==
Output :
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 arraysCode #1: Explaining row_stack()
# 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)
arr : [[1] [2] [3]] arr1 : [[1] [2] [3]]Code #2: Error generated with row_stack()
# 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)
ValueError: all the input array dimensions except for the concatenation axis must match exactly.
