I have to make an othello game board and I was wondering how you make it so it prints the board properly. This is my code at the moment.
import collections
NONE = 0
BLACK = 'B'
WHITE = 'W'
BOARD_COLUMNS = int(input('How many board columns? '))
BOARD_ROWS = int(input('How many board rows? '))
class OthelloGameState:
def _new_game_board() -> [[int]]:
board = []
for col in range(BOARD_COLUMNS):
board.append([])
for row in range(BOARD_ROWS):
board[-1].append(NONE)
return board
print (_new_game_board())
I used the print to see what the board looks like and it came out like:
[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
How would I make it so it's supposed to be the way it's supposed to be?
import pprint
board = [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
pprint.pprint(board)
Outputs:
[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
Check out a full run of the above:
https://ideone.com/6buCwM
You might want to make your board a state variable of the OthelloGameState class.
That way you can update that and your _new_game_board() method will just fill that with the proper size of rows and columns.
Then you can use Copy and Paste's answer to print the board (or your own method if you want to display it without the braces).
def print_board(board):
for col in range(BOARD_COLUMNS):
print(' '.join([row for row in range(BOARD_ROWS)]))
Python's print() method will not format your output at all, so you will need to do that yourself.
https://ideone.com/bNxew0 for a working example
Related
neighboringStates = np.array([
[[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0]]
])
Wondering how I can add another 8x8 of zeros and ones and add it to this already existing 3D array. Thanks!
Use np.concatenate() to add a new array to the existing 3D array
Example Code:
import numpy as np
neighboringStates = np.array([
[[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0]]
])
new_array = np.array([
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 1]
])
neighboringStates = np.concatenate((neighboringStates, np.array([new_array])))
This question already has answers here:
How to convert string representation of list to a list
(19 answers)
Closed 1 year ago.
I had a list of lists (in fact a small image) that unfortunately someone had converted it to a string before it was stored. Like this:
'[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]'
I am trying to find a way to reverse it to the obvious list format it represents without having to build a parser myself. Unfortunately I have not found any answers of how to do that> it probably is simple and obvious but since searching for list and string returns a myriad of other things I have been facing some difficulties.
You can use eval to do this, but the safer alternative is ast.literal_eval.
import ast
s = '[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]'
l = ast.literal_eval(s)
lets say i have following dict like below:
{1: {2017: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
2016: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]},
4: {2017: [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0],
2016: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}
the closest attempt i make would make the 2017 and 2016 change into different column like this :
key 2016 2017
1 [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
4 [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0]
what i wanted is more like this :
key value
1 {2017: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],2016: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}
4 {2017: [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0],2016: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}
You can use the following command:
df = pd.DataFrame(your_dictionary).T.apply(dict,1)
df
>>1 {2016: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 2017: [...
4 {2016: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 2017: [...
For now i can do it with list comprehension like this
pd.DataFrame([{'key':key,'value':value} for key,value in dict_year.items()])
another answer would be appreciated since i need to compare the resource and time used since i doing this with very large data
I have an 8x8 board represented by a numpy.ndarray:
array([[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0]])
# 0 = free space
# 1 = player1's figure
A figure can either move forward and left, forward and right or just forward (forward means down the board in this case).
Right now I am using nested for loops in order to look through the board indexes. When I find a figure I append the board states that can be achieved by making moves with that figure to a list and then keep searching for figures.
For this example the output of my function looks like this:
[array([[[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0]],
[[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 1, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0]]])]
Is there a faster way in which I can find all the possible moves for a given board state?
Wouldn't it be easier for memory as well as performance sake, to rather than keeping a complete board in the memory , keep the player figure's position in the memory. Lets take your example, player figure's location is -
player1 = (1, 4)
Let's assume , players position is denoted by (x,y) . Then you can compute the moves for that player at runtime (no need to keep in memory) , the possible moves would be -
(x+1,y)
(x+1,y+1)
(x+1,y-1)
If the player figure can circle back in the board, that is if he is at the bottom most position in the board, and then next moves would be the top most row , if that is the case, the moves would be determined by taking their modulo against the number of rows and columns (assuming nr - number of rows and nc - number of columns ) . Example , for (x,y) next moves would be -
((x+1) % nr,y % nc)
((x+1) % nr,(y+1) % nc)
((x+1) % nr,(y-1) % nc)
This question already has answers here:
Nested List Indices [duplicate]
(2 answers)
Closed 9 years ago.
>>> CM = [[0 for _ in range(10)]] * 10
>>> CM
[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
>>> CM[0][0] = CM[0][0] + 1
>>> CM
[[1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
I was trying to create a confusion matrix. It basically contains count of the (i, j) pairs.
I first created a list of lists, and then incremented the appropriate variable. However, it didn't work as expected. CM[i][0] got incremented for all values of i.
I found a work around.
>>> CM = [[0 for _ in range(10)] for _ in range(10)]
>>> CM
[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
>>> CM[0][0] = CM[0][0] + 1
>>> CM
[[1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
But I would be grateful if someone could explain why the first method failed.
>>> CM = [[0 for _ in range(10)]] * 10
Is copying a reference to the same object, ten times. It is equivalent to this:
>>> x = [0 for _ in range(10)]
>>> CM = [x, x, x, x, x, x, x, x, x, x]
So manipulating one element causes side effects. Your workaround is elegant and correct.
Note:
This occurs since the elements of the lists are lists (which are mutable). If they were strings for example, which are immutable, it wouldn't be an issue if the same string was referenced in different lists, since they can't be manipulated. Python doesn't like to waste memory (unless explicitly told to ie. deepcopy), so copying lists will simply copy their references.