the output of using np.empty_like in Python

Question

While studying the NumPy package of Python, I tried the following code segment

import numpy as np
x = np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12]])
v = np.array([1,0,1])
y = np.empty_like(x)
print(y)
for i in range(4):
   y[i,:] = x[i,:]+v
print "......."
print(y)

However, the first print(y) gives the output such as following, instead of all zero array. On the other side, the second print(y)generates the correct result as expected. I would like to know why.

[[        72          0          0]
 [         0       2676 1346720256]
 [1599357253 1950699087         10]
 [1346524499 1163154497  242503250]]
 .......
[[ 2  2  4]
 [ 5  5  7]
 [ 8  8 10]
 [11 11 13]]

user2357112 · Accepted Answer · 2015-04-15 04:25:19Z

3

You want zeros_like. empty_like gives an array filled with who-knows-what, so it doesn't have to spend time filling it with zeros.

answered Apr 15, 2015 at 4:25

user2357112

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