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
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
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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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- what is trial array here?
- Here trial is another list of arrays.
python coord = np.linspace(0, (N)*0.9, num=N) trial = np.ndarray.copy
- I edited the question
- Hello Aryerez. Thanks for the answer, but I do not want delta to have positive third element of third column. I want trial will be accepted if it has a third positive element. I edited your answer above.
- @Mahesh I've edited it. See if now that's what you wanted.
- I want only the third element to be absolute. The first two elements can be positive or negative.
- @dommetysk Your answer may be correct, but you could have included some information how to make only the third number positive, as clearly asked in the question.
- overwrite that specific array element with its absolute value: