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.
