numpy.column_stack() in Python Last Updated : 06 Jan, 2019 Comments Improve Suggest changes Like Article Like Report numpy.column_stack() function is used to stack 1-D arrays as columns into a 2-D array.It takes a sequence of 1-D arrays and stack them as columns to make a single 2-D array. 2-D arrays are stacked as-is, just like with hstack function. Syntax : numpy.column_stack(tup) 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. Code #1 : Python3 # Python program explaining # column_stack() function import numpy as geek # input array in_arr1 = geek.array(( 1, 2, 3 )) print ("1st Input array : \n", in_arr1) in_arr2 = geek.array(( 4, 5, 6 )) print ("2nd Input array : \n", in_arr2) # Stacking the two arrays out_arr = geek.column_stack((in_arr1, in_arr2)) print ("Output stacked array:\n ", out_arr) Output: 1st Input array : [1 2 3] 2nd Input array : [4 5 6] Output stacked array: [[1 4] [2 5] [3 6]] Code #2 : Python3 # Python program explaining # column_stack() function import numpy as geek # input array in_arr1 = geek.array([[ 1, 2, 3], [ -1, -2, -3]] ) print ("1st Input array : \n", in_arr1) in_arr2 = geek.array([[ 4, 5, 6], [ -4, -5, -6]] ) print ("2nd Input array : \n", in_arr2) # Stacking the two arrays out_arr = geek.column_stack((in_arr1, in_arr2)) print ("Output stacked array :\n ", out_arr) Output: 1st Input array : [[ 1 2 3] [-1 -2 -3]] 2nd Input array : [[ 4 5 6] [-4 -5 -6]] Output stacked array : [[ 1 2 3 4 5 6] [-1 -2 -3 -4 -5 -6]] Comment More infoAdvertise with us Next Article numpy.vstack() in python J jana_sayantan Follow Improve Article Tags : Python Python-numpy Python numpy-arrayManipulation Practice Tags : python Similar Reads numpy.stack() in Python NumPy is a famous Python library used for working with arrays. One of the important functions of this library is stack(). Important points:stack() is used for joining multiple NumPy arrays. Unlike, concatenate(), it joins arrays along a new axis. It returns a NumPy array.to join 2 arrays, they must 6 min read numpy.vstack() in python numpy.vstack() is a function in NumPy used to stack arrays vertically (row-wise). It takes a sequence of arrays as input and returns a single array by stacking them along the vertical axis (axis 0).Example: Vertical Stacking of 1D Arrays Using numpy.vstack()Pythonimport numpy as geek a = geek.array( 2 min read numpy.vstack() in python numpy.vstack() is a function in NumPy used to stack arrays vertically (row-wise). It takes a sequence of arrays as input and returns a single array by stacking them along the vertical axis (axis 0).Example: Vertical Stacking of 1D Arrays Using numpy.vstack()Pythonimport numpy as geek a = geek.array( 2 min read numpy.vstack() in python numpy.vstack() is a function in NumPy used to stack arrays vertically (row-wise). It takes a sequence of arrays as input and returns a single array by stacking them along the vertical axis (axis 0).Example: Vertical Stacking of 1D Arrays Using numpy.vstack()Pythonimport numpy as geek a = geek.array( 2 min read 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() Pytho 1 min read Stack in Python A stack is a linear data structure that stores items in a Last-In/First-Out (LIFO) or First-In/Last-Out (FILO) manner. In stack, a new element is added at one end and an element is removed from that end only. The insert and delete operations are often called push and pop. The functions associated wi 8 min read Like