Pandas pandas pandas project in Data Science course

Question

My code is not working for test case 3. I tried to revise the code again and again but I don’t know what is wrong here. Can anybody give me a clue where my code went wrong? Also does anybody know what is the test case 3?
https://code.sololearn.com/c6w3kYK2HrOu/?ref=app

Answer 1

if n1 or n2 is null you will have an error on line 25 or line 26. I suggest you, before calculating the means to first test if those numbers are not null.

I suppose that in this test, one of your variables n1 or n2 will be null.

Answer 2

you're welcome. keep practicing.

Answer 3

Here is my solution:
https://www.sololearn.com/Discuss/2730223/
Could anyone help?

Answer 4

Mir Abir Hossain how did you fix it? Can you show please?

Answer 5

Mir Abir Hossain figured it out thanks.

Answer 6

#THANKS John Robotane
n = int(input())
import numpy as np

def eudt(lista,listb):
lista,listb=np.array(lista), np.array(listb)
diff=lista-listb
return ((diff[0]**2)+(diff[1]**2))**0.5

w=np.zeros((n,2))

for i in range(n):
w[i,]=[float(j) for j in input().split()]

distances=np.zeros((n,2))

for i in range(n):
distances[i,]=[eudt(w[i,],[0,0]),eudt(w[i,],[2,2])]

team0=w[(distances[:,0]<=distances[:,1]),]
team2=w[(distances[:,0]>distances[:,1]),]

if sum(distances[:,0]<=distances[:,1])!=0:
zeromn=np.around(team0.mean(axis=0),2)

if sum(distances[:,0]>distances[:,1])!=0:
twoavg=np.around(team2.mean(axis=0),2)

if sum(distances[:,0]<=distances[:,1])==0:
zeromn=None
elif sum(distances[:,0]>distances[:,1])==0:
twoavg=None
else:
pass

print(zeromn)
print(twoavg)

Answer 7

John Robotane thanks a lot for the suggestion ^_^ Let me try

Answer 8

John Robotane it worked. Thanks <3

Answer 9

Zach Z I have fixed the code above. You can click and see it. Probably it is understandable. If not, then I will explain again.

Answer 10

Hey Mir Abir Hossain nvm i saw the issie but its still not solving #3?

Answer 11

Zach Z can you show me your code?

Answer 12

Zach Z welcome

Answer 13

import numpy as np
n = int(input())
points = []
for i in range(n):
x, y = input().split()
x, y = [float(i) for i in [x,y]]
points.extend([[x,y]])
a = np.array([0,0])
b = np.array([2,2])

grp1 = []
grp2 = []

for j in points:
d1 = np.linalg.norm(a-j)
d2 = np.linalg.norm(b-j)

if d1 > d2 :
grp2.extend(j)
else :
grp1.extend(j)

grp1 = np.array(grp1)
x= int(grp1.size/2)
grp1 = np.reshape(grp1,(x,2))
mask = grp1.mean(axis=0)

grp2 = np.array(grp2)
y= int(grp2.size/2)
grp2 = np.reshape(grp2,(y,2))
mask2 = grp2.mean(axis=0)

print(mask.round(2))
print(mask2.round(2))

hi every one I tried this but I got the same error, in case number 3, I don't know what to do ? if any one could help me pass it, I'll be happy.

Answer 14

Thank you Airat Halitov🔥