![Module 2 Multidimensional arrays
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]](https://image.slidesharecdn.com/14ihtm-pcep-m2-multidimensional-arrays-210517134744/85/Python-PCEP-Multidemensional-Arrays-2-320.jpg)
![Module 2 Multidimensional arrays
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)]](https://image.slidesharecdn.com/14ihtm-pcep-m2-multidimensional-arrays-210517134744/85/Python-PCEP-Multidemensional-Arrays-3-320.jpg)
![Module 2 Multidimensional arrays
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](https://image.slidesharecdn.com/14ihtm-pcep-m2-multidimensional-arrays-210517134744/85/Python-PCEP-Multidemensional-Arrays-4-320.jpg)
![Module 2 Multidimensional arrays
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](https://image.slidesharecdn.com/14ihtm-pcep-m2-multidimensional-arrays-210517134744/85/Python-PCEP-Multidemensional-Arrays-5-320.jpg)
![Module 2 Multidimensional arrays
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 ℃](https://image.slidesharecdn.com/14ihtm-pcep-m2-multidimensional-arrays-210517134744/85/Python-PCEP-Multidemensional-Arrays-6-320.jpg)
![Module 2 Multidimensional arrays
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](https://image.slidesharecdn.com/14ihtm-pcep-m2-multidimensional-arrays-210517134744/85/Python-PCEP-Multidemensional-Arrays-7-320.jpg)
![Module 2 Multidimensional arrays
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](https://image.slidesharecdn.com/14ihtm-pcep-m2-multidimensional-arrays-210517134744/85/Python-PCEP-Multidemensional-Arrays-8-320.jpg)
![Module 2 Multidimensional arrays
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](https://image.slidesharecdn.com/14ihtm-pcep-m2-multidimensional-arrays-210517134744/85/Python-PCEP-Multidemensional-Arrays-9-320.jpg)
Python PCEP Multidemensional Arrays
- 1. Module 2 Data Collections – Lists, Tuples, and Dictionaries Multidimensional arrays
- 2. Module 2 Multidimensional arrays 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 Multidimensional arrays 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 Multidimensional arrays 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 Multidimensional arrays 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 Multidimensional arrays 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 Multidimensional arrays 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 Multidimensional arrays 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 Multidimensional arrays 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 completed Module 2 Well done! You've reached the end of Module 2 and completed a major milestone in your Python programming education.