calculations using np.arrays in python

Question

I am really struggling to understand how to perform calculations with numpy arrays.

myList = open('key_resp.csv')
newList = np.array(myList)

newList2=sorted(newList)

newLists = open("dataSorted.csv",'w')
writer = csv.writer(newLists)
writer.writerow(newList2)

medNumber=np.median(newLists)

fast = newList2[:len(newList2)//2]
slow = newList2[len(newList2)//2:]


dataFast = open("dataFast.csv",'w')
writer = csv.writer(dataFast)
writer.writerow(fast)

Now for every value in dataFast I want to subtract medNumber.

dataFast.csv looks like [0.1] [0.2] [0.3] in csv file.

Note that numpy array have a sort method. Using sorted will convert them to a python list and you will loose any advantage of speed/memory you had with the arrays. — Bakuriu
– Bakuriu, Commented Jun 8, 2013 at 16:32

Saullo G. P. Castro · Accepted Answer · 2013-06-08 16:24:01Z

2

You can subtract in place (without copying the array) doing:

dataFast -= np.median(newLists)

answered Jun 8, 2013 at 16:24

Saullo G. P. Castro

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