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.
Recommended Posts:
- Python | Index of Non-Zero elements in Python list
- Important differences between Python 2.x and Python 3.x with examples
- Reading Python File-Like Objects from C | Python
- Python | Convert list to Python array
- Python | Merge Python key values to list
- Python | Set 4 (Dictionary, Keywords in Python)
- Python | Add Logging to a Python Script
- Python | Sort Python Dictionaries by Key or Value
- Python | Add Logging to Python Libraries
- Python | Visualizing O(n) using Python
- JavaScript vs Python : Can Python Overtop JavaScript by 2020?
- SHA in Python
- gcd() in Python
- Python | a += b is not always a = a + b
- max() and min() in Python
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.