Let’s see a program to convert 1-D arrays as columns into a 2-D array using NumPy library in Python. So, for solving this we are using numpy.column_stack() function of NumPy. This function takes a sequence of 1-D arrays and stack them as columns to make a single 2-D array.
Syntax : numpy.column_stack(tuple)
Parameters :
tup : [sequence of ndarrays] Tuple containing arrays to be stacked. The arrays must have the same first dimension.
Return : [stacked 2-D array] The stacked 2-D array of the input arrays.
Now, let’s see an example:
Example 1:
Python3
# import libraryimport numpy as np# create a 1d-arraya = np.array(("Geeks", "for", "Lazyroar"))# create a 1d-arrayb = np.array(("my", "name", "sachin"))# convert 1d-arrays into# columns of 2d-arrayc = np.column_stack((a, b))print(c) |
Output:
[['Geeks' 'my'] ['for' 'name'] ['Lazyroar' 'sachin']]
Example 2:
Python3
# import libraryimport numpy as np# create 1d-arraya = np.array((1,2,3,4))# create 1d-arrayb = np.array((5,6,7,8))# convert 1d-arrays into# columns of 2d-arrayc = np.column_stack((a, b)) print(c) |
Output:
[[1 5] [2 6] [3 7] [4 8]]
