In an array of integers, a "peak" is an element which is greater than or equal to the adjacent integers and a "valley" is an element which is less than or equal to the adjacent integers. For example, in the array {5, 8, 6, 2, 3, 4, 6}, {8, 6} are peaks and {5, 2} are valleys. Given an array of integers, sort the array into an alternating sequence of peaks and valleys. EXAMPLE Input: {5, 3, 1, 2, 3} Output: {5, 1, 3, 2, 3}

import numpy as np a = np.array([1,2,3]) b = np.array([4,5,6]) You may need to use NumPy methods to answer the following questions. What is the cross product of the two vectors a and b given above? What is the dot product of the two vectors a and b given above?

An array is positive dominant if it contains strictly more unique positive values than unique negative values. Write a function that returns true if an array is positive dominant. Examples ispositiveDominant([1, 1, 1, 1, -3, -4]) // There is only 1 unique positive value (1). // There are 2 unique negative values (-3, -4). ispositiveDominant([5, 99, 832, -3, -4]) → true ispositiveDominant([5, 0]) → true ispositive Dominant([0, -4, -1]) → false

In [ ]: We obtained an array with N = 10 values, scattered about mean of 25 (mm). Let's calculate the mean, standard deviation, standard deviation of the mean and 20-uncertainty SL of these numbers. In the following code, do these steps: • In the first cell, add a brief comment that explains what each statement does. Start each comment with a # sign. • In the second cell, delete the raise Not ImplementedError() code line and print the standard deviation and 20-uncertainty on the screen (follow the example for mean_L) mean_L = np.mean (L) print("Mean length: ", mean_L) stddev_L = np. std (L, ddof=1) stddev_mean_L = stddev_L/np.sqrt(N) uncertainty_L = 2*stddev_mean_L In [ ] V #YOUR CODE HERE raise NotImplementedError() #calculates the mean of L In the above code, the green expressions on the right hand side, such as np.mean, np. std and np.sqrt are functions built into the numpy package of Python. The names on the left hand side are variable names invented by me.

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].

Note:  Set a random seed of 100 for this assignment.  All arrays should contain random numbers between 0 and 1 (zero is inclusive).     Create a one-dimensional array of twenty float random numbers.   Assign the sum of these values to Q1.    Assign the max of these values to Q2.   Create a four by five array of random numbers.   Take the minimum values in each array and create an array of those values.  Assign it to Q3.   Assign the mean of all the array values to Q4.   Create an array with the following values: 2, 3, np.nan (this should represent a missing value), and 5.  Use a numpy function to find the sum of the values in this array.  Assign the sum to Q5 (you should expect a numerical value here).   Create two separate arrays each containing four random numbers.  Concatenate the two arrays and assign it to Q6.   Create a four by four array of random numbers and call it q7.  Concatenate this array with itself and assign it to Q7.   Create a two by four array of…