Python PCEP Multidemensional Arrays

Python PCEP Multidemensional Arrays

• 1.
  Module 2 Data Collections– Lists, Tuples, and Dictionaries Multidimensional arrays
• 2.
  Module 2 Multidimensionalarrays Lists in lists row = [] for i in range(8): row.append(WHITE_PAWN) row = [WHITE_PAWN for i in range(8)] squares = [x ** 2 for x in range(10)] #output [0, 1, 4, 9, 16, 25, 36, 49, 64, 81] twos = [2 ** i for i in range(8)] #output [1, 2, 4, 8, 16, 32, 64, 128] squares = [x ** 2 for x in range(10)] odds = [x for x in squares if x % 2 != 0 ] print(odds) #output [1, 9, 25, 49, 81]
• 3.
  Module 2 Multidimensionalarrays Two-dimensional arrays board = [] for i in range(8): row = [EMPTY for i in range(8)] board.append(row) EMPTY = "-" ROOK = "ROOK" board = [] for i in range(8): row = [EMPTY for i in range(8)] board.append(row) board[0][0] = ROOK board[0][7] = ROOK board[7][0] = ROOK board[7][7] = ROOK print(board) board = [[EMPTY for i in range(8)] for j in range(8)]
• 4.
  Module 2 Multidimensionalarrays Multidimensional nature of lists two coordinates a vertical one (row number) a horizontal one (column number) temps = [[0.0 for h in range(24)] for d in range(31)] # The matrix is magically updated here. total = 0.0 for day in temps: total += day[11] average = total / 31 print("Average temperature at noon:", average) The monthly average noon temperature
• 5.
  Module 2 Multidimensionalarrays Multidimensional nature of lists temps = [[0.0 for h in range(24)] for d in range(31)] # The matrix is magically updated here. highest = -100.0 for day in temps: for temp in day: if temp > highest: highest = temp print("The highest temperature was:", highest) The highest temperature
• 6.
  Module 2 Multidimensionalarrays Multidimensional nature of lists temps = [[0.0 for h in range(24)] for d in range(31)] # The matrix is magically updated here. hot_days = 0 for day in temps: if day[11] > 20.0: hot_days += 1 print(hot_days, "days were hot.") The days when the temperature at noon was at least 20 ℃
• 7.
  Module 2 Multidimensionalarrays Three-dimensional arrays • three buildings • 15 floors each • 20 rooms on each floor the type of the array's elements(True/False) calm analysis of the situation rooms = [[[False for r in range(20)] for f in range(15)] for t in range(3)] In the second building, on the tenth floor, room 14: rooms[1][9][13] = True
• 8.
  Module 2 Multidimensionalarrays Key takeaways 1 [expression for element in list if conditional] # A four-column/four-row table - a two dimensional array (4x4) table = [[":(", ":)", ":(", ":)"], [":)", ":(", ":)", ":)"], [":(", ":)", ":)", ":("], [":)", ":)", ":)", ":("]] print(table) print(table[0][0]) # outputs: ':(' print(table[0][3]) # outputs: ':)' list comprehension use nested lists to create matrices
• 9.
  Module 2 Multidimensionalarrays Key takeaways 2 # Cube - a three-dimensional array (3x3x3) cube = [[[':(', 'x', 'x'], [':)', 'x', 'x'], [':(', 'x', 'x']], [[':)', 'x', 'x'], [':(', 'x', 'x'], [':)', 'x', 'x']], [[':(', 'x', 'x'], [':)', 'x', 'x'], [':)', 'x', 'x']]] print(cube) print(cube[0][0][0]) # outputs: ':(' print(cube[2][2][0]) # outputs: ':)' create n-dimensional lists
• 10.
  Congratulations! You have completedModule 2 Well done! You've reached the end of Module 2 and completed a major milestone in your Python programming education.