numpy.ma.row_stack() in Python
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()
import numpy as np
a = np.array([ 1 , 2 , 3 ])
arr = np.ma.row_stack (a)
print ( "arr : \n" , arr)
b = np.array([[ 1 ], [ 2 ], [ 3 ]])
arr1 = np.ma.row_stack (b)
print ( "\narr1 : \n" , arr1)
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Output :
arr :
[[1]
[2]
[3]]
arr1 :
[[1]
[2]
[3]]
Code #2: Error generated with row_stack()
import numpy as np
b = np.array([[ 1 , 1 ], [ 2 ], [ 3 ]])
arr1 = np.ma.row_stack (b)
print ( "\narr1 : \n" , arr1)
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Output :
ValueError: all the input array dimensions except for the concatenation axis must match exactly.
Last Updated :
16 Jul, 2018
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