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NumPy ​

Generate numbers ​

python
# int
np.random.randint(1000000, 1100000, size=3)
# array([1060285, 1097394, 1024292])

# float
np.random.uniform(low=0.5, high=3.5, size=(50,))

Randomly introduce np.nan ​

python
def generate_array_with_random_nan(lower_bound, upper_bound, size):
    a = np.random.randint(lower_bound, upper_bound + 1, size=size).astype(float)
    mask = np.random.choice([1, 0], a.shape, p=[0.2, 0.8]).astype(bool)
    a[mask] = np.nan

    return a