Answers for "random array numpy"

numpy array with random numbers

import numpy as np

# Creates a numpy array of shape (4,5), filled with random integers between 0 (inclusive) and 10 (exclusive)
rand_array = np.random.randint(0,10,(4,5))

random array in python

import random
Items = ["Item1", "Item2", "Item3", "Item4", "Item5"]
print(random.choice (Items))

numpy random

from numpy import random
n = random.randint(lowerbound(inclusive), higherbound(exclusive))

np.random.rand()

# train test split
df = pd.read_csv('file_location')
mask = np.random.rand(len(df)) < 0.8
train  = df[mask]
test = df[~mask]