Python - Numpy Array Column Deletion Last Updated : 03 Apr, 2023 Summarize Comments Improve Suggest changes Share Like Article Like Report Given a numpy array, write a programme to delete columns from numpy array. Examples - Input: [['akshat', 'nikhil'], ['manjeeet', 'akash']] Output: [['akshat']['manjeeet']] Input: [[1, 0, 0, 1, 0], [0, 1, 2, 1, 1]] Output: [[1 0 1 0][0 2 1 1]] Given below are various methods to delete columns from numpy array. Method #1: Using np.delete() Python3 # Python code to demonstrate # deletion of columns from numpy array import numpy as np # initialising numpy array ini_array = np.array([[1, 0, 0, 1, 0], [0, 1, 2, 1, 1]]) # deleting second column from array result = np.delete(ini_array, 1, 1) # print result print ("Resultant Array :"+str(result)) Output: Resultant Array :[[1 0 1 0] [0 2 1 1]] Time Complexity: O(n) Space Complexity: O(n) where n is length of array Method #2: Using compress() and logical_not() Python3 # Python code to demonstrate # deletion of columns from numpy array import numpy as np # initialising numpy array ini_array = np.array([[1, 0, 0, 1, 0], [1, 2, 0, 0, 1]]) z = [False, True, False, False, False] # deleting second column from array result = ini_array.compress(np.logical_not(z), axis = 1) # print result print ("Resultant Array :"+str(result)) Output: Resultant Array :[[1 0 1 0] [1 0 0 1]] Time Complexity: O(n) Space Complexity: O(n) where n is length of array Method #3: Using logical_not() Python3 # Python code to demonstrate # deletion of columns from numpy array import numpy as np # initialising numpy array ini_array = np.array([[1, 0, 0, 1, 0], [1, 2, 0, 0, 1]]) z = [False, True, False, False, False] # deleting second column from array result = ini_array[:, np.logical_not(z)] # print result print ("Resultant Array :"+str(result)) Output: Resultant Array :[[1 0 1 0] [1 0 0 1]] Time Complexity: O(n) Space Complexity: O(n) where n is length of array Comment More infoAdvertise with us Next Article numpy.delete() in Python M manjeet_04 Follow Improve Article Tags : Python Python numpy-arrayManipulation Practice Tags : python Similar Reads NumPy Array in Python NumPy (Numerical Python) is a powerful library for numerical computations in Python. It is commonly referred to multidimensional container that holds the same data type. It is the core data structure of the NumPy library and is optimized for numerical and scientific computation in Python. Table of C 2 min read Delete a CSV Column in Python The comma-separated values ​​(CSV) file is a delimited text file that uses commas for individual values. Each line of the file is a data record in CSV. This format used for tabular data, rows, and columns, exactly like a spreadsheet. The CSV file stores data in rows and the values ​​in each row are 3 min read numpy.delete() in Python The numpy.delete() function returns a new array with the deletion of sub-arrays along with the mentioned axis.  Syntax: numpy.delete(array, object, axis = None) Parameters : array : [array_like]Input array. object : [int, array of ints]Sub-array to delete axis : Axis along which we want to delete 3 min read Ways to Add Row/Columns in Numpy Array - Python Adding rows or columns to a NumPy array means appending new data along a specific axis. For example, if you have a 2D array like [[1, 2], [3, 4]] and you add a new row [5, 6], the array becomes [[1, 2], [3, 4], [5, 6]]. Similarly, adding a column [7, 8, 9] to a 3x2 array transforms it into a 3x3 arr 5 min read Python | Convert Numpy Arrays to Tuples Given a numpy array, write a program to convert numpy array into tuples. Examples - Input: ([[1, 0, 0, 1, 0], [1, 2, 0, 0, 1]]) Output: ((1, 0, 0, 1, 0), (1, 2, 0, 0, 1)) Input: ([['manjeet', 'akshat'], ['nikhil', 'akash']]) Output: (('manjeet', 'akshat'), ('nikhil', 'akash')) Method #1: Using tuple 2 min read Python Lists VS Numpy Arrays Here, we will understand the difference between Python List and Python Numpy array. What is a Numpy array?NumPy is the fundamental package for scientific computing in Python. Numpy arrays facilitate advanced mathematical and other types of operations on large numbers of data. Typically, such operati 7 min read Like