# -*- coding: utf-8 -*-
"""
Created on Wed Nov  9 10:58:16 2022

@author: cpresser
"""
import numpy as np

listOfLists = [[0, 1.5, 2], [3, 4, 5]]
array2d = np.array(listOfLists)
print("2D Array: ")
print(f"{array2d}")

#All arrays in the array must be the same length
#Every row has the same number of columns
#Rectangular arrays

#print(f"{listOfLists}")

print(listOfLists[1][2])
print(array2d[1][2])
#access using a different notation
print(array2d[1,2])

#multiply an element by 2
array2d[0, 1] *= 2   #array2d[0,1] = array2d[0,1] * 2
array2d[1,2] = 0

otherArray2d = 2*array2d + 1

print(f"{array2d}")
print(f"{otherArray2d}")

#different with lists
list1 = [0, 2, 3]
list2 = list1*2
print(list1)
print(list2)

print("---------------")

#create and array of zeros
array1 = np.zeros(5)
print(array1)

#create an array with 3 rows and 2 columns
array2 = np.zeros((3,2))
array2[0,0] = 1
print(array2)

print("---------------")

array3 = np.array(range(-2, 2, 1))
array3[2] = 5.7
print(array3)

print("---------------")
# linspace: linear space sampling
# start value
# end value (inclusive)
# number of values
array4 = np.linspace(0, 10, 11)
print(array4)

print("---------------")
#determine the dimensions
print(array4.ndim)
print(array2d.ndim)

print("---------------")

array3d = np.zeros((2, 3, 4))
#2 matrices each with 3 rows and four columns

array3d[0, 2, 3] = -1
print(array3d)
print(f"Dimensions: {array3d.ndim}")
print("---------------")

print(f"array4's shape is {array4.shape}")
print(f"array2d's shape is {array2d.shape}")
print(f"array3d's shape is {array3d.shape}")

print("---------------")

array5 = np.array(5)
print(array5)
print(f"Dimensions: {array5.ndim}")
print(f"array5's shape is {array5.shape}")

print("---------------")

#create points between 0 and 2pi
x = np.linspace(0, 2*np.pi, 10)
print(np.cos(x))