#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
ENGG1811. 

Illustrating numpy Boolean (Part 2)
"""
import numpy as np 

# Illustrating elementwise logical_and()

array1 = np.array([ [ 3.2,  0.5, 5.8], 
                    [   6, -1.2, 7.1]])

array1_la = np.logical_and(array1 > 3,array1 < 7)  
print(array1_la)   


# %% Quiz 
# The temperature data  
temp_list = np.array(
            [[ 0.3,  0.4,  0.5,  0.5,  0.1,  0.8,  0.8,  0.5,  0.0,  0.7],
             [ 0.2,  0.4,  0.8,  0.4,  0.8,  1.8,  0.9,  0.1,  1.4,  1.7],
             [ 1.1,  0.1,  0.8,  0.9,  0.5,  0.3,  0.2,  0.2,  1.1,  0.4],
             [ 0.4,  0.7,  0.6,  0.6,  0.4,  0.4,  0.5,  0.0,  0.1,  0.2],
             [ 0.2,  0.1,  0.9,  0.9,  0.3,  0.5,  0.4,  0.7,  0.2,  0.7]]
            )

# Each row contains data from a thermometer 
# Let us say the normal temperature range 
# is between [0.25,0.85] inclusively
# For each thermometer, determine the number 
# of times that the thermometer reading is 
# outside the normal range

# We expect [2, 6, 6, 3, 5]

# Solution 0: Using logical_or


# Solution 1:  Using logical_not and logical_and