Référence de l'espace de nommage csv-to-graph

Fonctions
	player (x)

Variables
list	heuristique = []
list	move = []
	csv_reader = csv.reader(csv_file, delimiter=';')
int	line_count = 0
	x = np.arange(1, len(move)+1, 1)
	y
	color
	axis
	linestyle
	eval = np.array([move[i] == 'Split' for i in range(len(move))])
list	ymax1 = [player(i) for i in range(len(move))]
list	ymax2 = [-player(i+1) for i in range(len(move))]
	alpha
	Board
	interpolation

Documentation des fonctions

player()

csv-to-graph.player

(

x

)

Documentation des variables

alpha

csv-to-graph.alpha

axis

csv-to-graph.axis

Board

csv-to-graph.Board

Valeur initiale :

=  np.array([[0, 0.4, 0.6, 0.7, 0.2, 0.5, 0.3, 0.1],
                  [0.7, 0.6, 0.9, 1.7, 1.2, 0.9, 0.2, 0.8],
                  [2.8, 2, 3.5, 3.9, 3.2, 3.6, 1.8, 1.3],
                  [2.4, 2, 3.9, 4.4, 4.5, 3.0, 1.6, 1.9],
                  [2.3, 1, 3.1, 4.8, 4.4, 3.9, 1.4, 1],
                  [2.2, 2, 1, 1.8, 3.1, 1.4, 1.8, 1.4],
                  [0.7, 1, 0.9, 2.5, 2.3, 0.6, 0.5, 0.2],
                  [0.9, 0.3, 0.7, 0.9, 0.4, 0.3, 0.2, 0.6]])

color

csv-to-graph.color

csv_reader

csv-to-graph.csv_reader = csv.reader(csv_file, delimiter=';')

eval

csv-to-graph.eval = np.array([move[i] == 'Split' for i in range(len(move))])

heuristique

list csv-to-graph.heuristique = []

interpolation

csv-to-graph.interpolation

line_count

int csv-to-graph.line_count = 0

linestyle

csv-to-graph.linestyle

move

list csv-to-graph.move = []

x

csv-to-graph.x = np.arange(1, len(move)+1, 1)

y

csv-to-graph.y

ymax1

list csv-to-graph.ymax1 = [player(i) for i in range(len(move))]

ymax2

list csv-to-graph.ymax2 = [-player(i+1) for i in range(len(move))]