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)
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)
Chapter8: Advanced Method Concepts
Section: Chapter Questions
Problem 8RQ
Related questions
Question
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)
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