numpy.ipynb 1. addToArray(i) def addToArray(i): # TO DO %time addToArr(10) 2. a function def findDriver(distanceArr, driversArr, customerArr): result = '' ### put your code here return result print(findDriver(locations, drivers, cust)) # this should return Clara 3. The Amazing 5D Music example array([[ 1, 3, -2, -4, -1], [ 0, -1, 1, -1, -2], [ 2, 3, -2, -3, -1], [ 1, -1, 0, -1, -3], [-2, -1, 1, -1, -3], [ 1, 3, -1, -2, -3]]) ``` # TODO array([11, 5, 11, 6, 8, 10]) # TODO array([1, 3, 4, 5, 0, 2]) # TODO # TODO def findClosest(customers, customerNames, x): # TO DO return '' print(findClosest(customers, customerNames, mikaela)) # Should print Ben print(findClosest(customers, customerNames, brandon)) # Should print Ann 4. Numpy drones arr = np.array([-1, 2, -3, 4]) arr2 = np.square(arr) arr2 locations = np.array([[4, 5], [6, 6], [3, 1], [9,5]]) drones = np.array(["wing_1a", "wing_2a", "wing_3a", "wing_4a"]) cust = np.array([6, 3]) def euclidean(droneLocation, droneNames, x): result = '' ### your code here return result euclidean(locations, drones, cust)

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

numpy.ipynb

1. addToArray(i)

def addToArray(i):

# TO DO

%time addToArr(10)

2. a function

def findDriver(distanceArr, driversArr, customerArr):

result = ''

### put your code here

return result

print(findDriver(locations, drivers, cust)) # this should return Clara

3. The Amazing 5D Music example

array([[ 1,  3, -2, -4, -1],
       [ 0, -1,  1, -1, -2],
       [ 2,  3, -2, -3, -1],
       [ 1, -1,  0, -1, -3],
       [-2, -1,  1, -1, -3],
       [ 1,  3, -1, -2, -3]])
       ```

# TODO

array([11, 5, 11, 6, 8, 10])

# TODO

array([1, 3, 4, 5, 0, 2])

# TODO

def findClosest(customers, customerNames, x):

# TO DO

return ''

print(findClosest(customers, customerNames, mikaela)) # Should print Ben

print(findClosest(customers, customerNames, brandon)) # Should print Ann

4. Numpy drones

arr = np.array([-1, 2, -3, 4])

arr2 = np.square(arr)

arr2

locations = np.array([[4, 5], [6, 6], [3, 1], [9,5]])

drones = np.array(["wing_1a", "wing_2a", "wing_3a", "wing_4a"])

cust = np.array([6, 3])

def euclidean(droneLocation, droneNames, x):

result = ''

### your code here

return result

euclidean(locations, drones, cust)

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