I am struggling with this problem In exArray, sort each column along the direction of the rows in ascending order.1 # Load necessary package2 import numpy as np34 # Create array5 exArray67 # Sort array8 exArray_sorted910 # Print the array11 print(exArray)Checknp.array([['n', 'v', 'g', '1', 'z'], ['b', 'y', 'c', 'r', 'f']])1Next levelX 1: Compare output=np. sort(exArray, axis=0)Your outputExpected outputexArray.sort () takes an axis argument that determines along which axis the array should becolumn along the direction of the rows.Not all tests passed.Output differs. See highlights below.[['n'['b'1121TV111I[['g['b' 'c' 'f'T'C'V1 'Z']1V1r''f']]3Vz']I' 'y'll4

Below is the complete solution with explanation in detail for the given question about the error in…

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 = np.array([['n', 'v', 'g', '1', 'z'], ['b', 'y', 'c', 'r', 'f']]) 6 7 # Sort array 8 exArray_sorted np. sort (exArray, axis=0) 9 10 # Print the array 11 print (exArray) Check Next level X 1: Compare output exArray. sort () takes an axis argument that determines along which axis the array should be column along the direction of the rows. Not all tests passed. Output differs. See highlights below. Your output Expected output [['n' ['b' [['g' ['b' 2 1 'V' 1 JC 1 1 I C n T 111 r V 'r 1 'Z'] 'f']] 'z'] 3 1

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 = np.array([['n', 'v', 'g', '1', 'z'], ['b', 'y', 'c', 'r', 'f']]) 6 7 # Sort array 8 exArray_sorted np. sort (exArray, axis=0) 9 10 # Print the array 11 print (exArray) Check Next level X 1: Compare output exArray. sort () takes an axis argument that determines along which axis the array should be column along the direction of the rows. Not all tests passed. Output differs. See highlights below. Your output Expected output [['n' ['b' [['g' ['b' 2 1 'V' 1 JC 1 1 I C n T 111 r V 'r 1 'Z'] 'f']] 'z'] 3 1

C++ Programming: From Problem Analysis to Program Design

8th Edition

ISBN:9781337102087

Author:D. S. Malik

Publisher:D. S. Malik

Chapter12: Points, Classes, Virtual Functions And Abstract Classes

Section: Chapter Questions

Problem 29SA

See similar textbooks

Similar questions

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 = np.array([['n', 'v', 'g', '1', 'z'], ['b', 'y', 'c', 'r', 'f']]) 6 7 # Sort array 8 exArray_sorted = np.sort(exArray) 9 10 # Print the array 11 print(exArray) Check 1 Next level X 1: Compare output exArray. sort () takes an axis argument that determines along which axis the array should be sorted. a column along the direction of the rows. Not all tests passed. Output differs. See highlights below. Your output Expected output [['n U 1 'V' y ['b' 2 [['g' ['b' U U 1 '1' c' g 50 1 'C n 'f V V 1 1 14 V r 1 1 1 z'] 'f']] 'z'] 'y'll 3 T 4
Construct a row array countValues from 0 to 25, elements incremented by incrementValue. Ex: If incrementValue is 5, countValues should be [0, 5, 10, 15, 20, 25].
The first element in each array is accessed with index number 0. (e.g., array[0]). Select one: True False
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 = np.array([['n', 'v', 'g', '1', 'z'], ['b', 'y', 'c', 'r', 'f']]) 6 7 # Sort array 8 exArray_sorted 9 Check 10 # Print the array 11 print (exArray) 1 = Next level X 1: Compare output np. sort(exArray, axis-1) Your output Expected output 2 exArray.sort () takes an axis argument that determines along which axis the array should be sorted. a column along the direction of the rows. Not all tests passed. Output differs. See highlights below. 1 V I [['n' 'v' 'g 1 'z'] 1 ['b' 'y 'C' [['g' '1' ['b' I 1 C 1 CH n 1 1 I f RF 1 r 'f']] 17 V 'Z'] 1 I 1 I 3 'y']] 4
import array as arr a=arr.array(i,[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30]); a.insert(2,1) print(a[2]) What value will be in the index position 2? 2 814
def sum_threshold_2d_array(array, threshold):"""Iterate through each element of the 2d array using nested loops.Sum up the values that are greater than a threshold value given as an input parameter.:param array: a 2d array:param threshold: a threshold value (valid int or float):return: sum total of values above the threshold"""pass
2. For the following array, you are to perform a binary search: Int nums[ ]= {1, 13, 78, 89, 96, 100, 112, 125, 230, 310, 423, 578, 1000); Search for the number 126 by showing the low, midpoint and high values at each step before it reports that 126 is NOT found in the array. Low Mid High
one-dimensional array: Write the needed code to swap between the first element and last element in array intArray.
3: Following is the provided numPy array. return array of items in the third column from all rows. sampleArray = numpy.array([[11,22, 33], [44, 55, 66], [77, 88, 99]])
Exo 9: The user will klrite an algorithm that allows the user to remove a value from a previously entered array, give the index of the value be wishes to detete. Attention! it is not a question of resetting a value to Zero, but rather of deleting it from the table. itself! If the starting table was: 8 4 45 64 9 And the user wants the Index Value, 4, the new array will be: 12 8 H 45 9
q3 = range (30) # change q3 to a np.array # add 1 to each element in q3 # add 2 to the last 5 elements in q3 # subtract 10 to the first element in q2
Array TypesObjective: Based on the given values and initializations, give what is being required of each statement.1. Given A[10], α=2000, esize=4 bytes:a) Find the number of elements.b) Find the address of the 6th element.c) Find the index no. of the 8th element.2. Given E[3][4], α=2020, esize=4 bytes:a) Find the total no. of elements.b) Find the address of the last element.c) Find the address of the 10th element.