How do I replace 6 random vaues with NA in this pandas dataframe? np.random.seed(10) array = np.random.randint(1,10,(8,4)) index = ['A','B','C','D','E','F','G','H'] col = ['variable '+str(i) for i in range(1,5)] fxe = pd.DataFrame(array,columns = col, index= index) fxe

# how can i replace some values with NA in this pandas dataframe? import pandas as pdimport numpy as npnp.random.seed(10)array = np.random.randint(1,10,(8,4))index = ['A','B','C','D','E','F','G','H']col = ['variable '+str(i) for i in range(1,5)] fxe = pd.DataFrame(array,columns = col, index= index)fxe

int [] myArray = {2,3,4,5}: What is the length of myArray? type your answer.

Given an array, find the next greater element for each element in the array, ifavailable. If not available, print the element itself. The next greater element y for anelement x in the array is the first element that is greater than x and occurs on its rightside. The next greater element of the right most element in an array is the elementitself.Example: Given A = [ 6 8 4 3 9] the next greater element listB = [8 9 9 9 9].