In exArray, sort each column along the direction of the rows in ascending order. 1 #Load necessary package 2 import numpy as np 3 4 # Create array 5 exArray = 6 7 # Sort array np. array([['n', 'v', 'g', '1', 'z'], ['b', 'y', 'c', 'r', 'f']]) 8 exArray_sorted 9 10 # Print the array 11 print (exArray) = np. sort(exArray, axis-1)

Java coding    Can you create a remove method that removes and returns an element from an index in an array? Thanks.

Q2 You have a dynamic array with 3 elements in it and a capacity of 4. The capacity doubles when additional space is needed and shrinks by 50% (rounding down) when the size is at or below 1/3 capacity. Answer the questions below for the following operation sequence: Add, Add, Remove, Remove, Remove Q2.1 What will be the capacity of the list when the whole sequence is completed? Answer= Enter your answer here

Python Please **Bold is code** Recap of two-dimensional arrays and their numpy implementation  import numpy as np my_2d_array = np.array([[1,2],[3,4],[5,6]]) print("This is my_2d_array:") print(my_2d_array) print("This array has shape " + str(my_2d_array.shape) + " as there are " + str(my_2d_array.shape[0]) +  " rows and " + str(my_2d_array.shape[1]) + " columns.") print("The entry of the array with row index " + str(1) + " and column index " + str(1) + " has value " + str(my_2d_array[1,1])) 1) In this problem, implement a TwoDArray class that is meant to mimic (some of) the functionality of a two-dimensional numpy array. DO NOT use numpy at any point.  1A) Give the class an __init__ method Make sure that the variable array is a valid input. This means you should a) Make sure that array is a list of lists. and b) Make sure that each of the inner lists has the same length. You do not need to check for anything else. Rise the appropriate error(s) if these conditions are not met. It is up…

Define array ages, a 5 _element array of integers initialized  with the  values 45, 12, 23, 62 and 52

Now your turn, in the exercises below, pick out the rows and columns and assign them to the correct variable, i.e. to assign column 1 to x you would enter x = my_2D_array[:,1] new_array=np.array([[1, 2, 3], [4, 5, 61, [7, 8, 91, [10, 11, 12], [13,14,15]]) new_array