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()
# 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()
# 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.
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