# Reusing 'temperature_data' from earlier
import numpy as np

np.random.seed(42) # For reproducibility

status_codes = np.random.choice(
a=[0, 1, 2, 3],
size=len(temperature_data),
p=[0.85, 0.10, 0.03, 0.02] # 0=Normal, 1=Warning, 2=Critical, 3=Offline
)

# Let’s preview our data
print(status_codes[:5])