I want a numpy array of size n, with words from the list words = ["high","low","neutral"] filled up to size n randomly.

I tried x = [random.sample(words,1) for i in range(1,101)].

This gave the output like this: [['low'],['high']...]

I want the output as: ['high','low','low',....]

CodePudding user response：

Basically you are doing it right, but random.sample returns the list of random selections so in your case you can do either replace the

x = [random.sample(words,1) for i in range(1,101)]

with

x = [random.sample(words,1)[0] for i in range(1,101)]

Output ['high', 'low', 'low', . . .]

Or also you can use list comprehension to tackle this, e.g.

x = [x[0] for x in x]

Output ['high', 'low', 'low', . . .]

Or you can simply make it super simple one liner by using random.choices

x = random.choices(words, k=100)

Output ['high', 'low', 'low', . . .]

CodePudding user response：

You should use random.choices():

x = random.choices(words, k=100)

The docs for random.choices() state:

Return a k sized list of elements chosen from the population with replacement. If the population is empty, raises IndexError.