## How to accept the only positive element of an array generated by the random number generator?

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I want to keep the third element of the arrays generated by using random numbers. The first two elements can be positive or negative, but the third element will always be positive otherwise a new list of random numbers generated until they satisfy this condition.

I have tried the following, but it does not work:

```coord = np.linspace(0, (N)*0.9, num=N)
trial = np.ndarray.copy(coord)
for i in range(1, N):
delta = (2 * np.random.rand(3) - 1)
trial[i] += delta
if trial[i,2] < 0.0:
break
else:
continue
```

Very simple:

```coord = np.linspace(0, (N)*0.9, num=N)
trial = np.ndarray.copy(coord)
for i in range(1, N):
while True:
delta = (2 * np.random.rand(3) - 1)
trial[i] += delta
if trial[i, 2] > 0:
break
trial[i] -= delta #Return to the previous values for the next attempt
```

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To make numbers absolute, use the `abs()` method.

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Your question is very confusing so, this is how I understand it. Besides, your code doesnt work, because coord has different dimensions than trial so I made some changes

```import numpy as np
N = 10
sub_num = 3
coord = np.zeros(shape=[N,sub_num])
trial = np.ndarray.copy(coord)

def delta():
while True:
delta = (2 * np.random.rand(sub_num) - 1)
if delta[-1]>0:
return delta

for i in range(1,N):
trial[i] += delta()
```

Select a random number from stream, with O(1) space , Given a stream of numbers, generate a random number from the stream. You are allowed to use only O(1) space and the input is in the form of a stream, so can't store the previously seen numbers. If this is the first element from stream, Implement random-0-6-Generator using the given random-0-1-Generator � Select K� Given all alphabets in a character array, print a string of random characters of given size. We will use rand() function to print random characters. It returns random integer values. This number is generated by an algorithm that returns a sequence of apparently non-related numbers each time it is called.

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9.6. random — Generate pseudo-random numbers — Python v3.1.5 , This module implements pseudo-random number generators for various For sequences, uniform selection of a random element, a function to generate a random is one of the most extensively tested random number generators in existence. Returned values range from 0 to positive infinity if lambd is positive, and from� To make the output less predictable, you need to seed the random-number generator. That’s done by using the srand() function. That’s done by using the srand() function. Like the rand() function, the srand() function requires the stdlib.h header, shown at Line 2 in Even More Randomness.

• Here trial is another list of arrays. `python coord = np.linspace(0, (N)*0.9, num=N) trial = np.ndarray.copy`
• overwrite that specific array element with its absolute value: `trial[i]=abs(trial[i])`