joueuses = np.array( [
[25, 20, 46],
[36, 51, 30],
[16, 33, 42],
[37, 38, 39],
[11, 16, 46],
[25, 25, 54],
[32, 64, 16],
[54, 30, 6],
[14, 32, 14],
[23, 33, 45],
[16, 44, 35],
[27, 44, 28],
[21, 4, 35],
[22, 25, 43],
[21, 69, 19],
[33, 25, 21],
[10, 35, 43],
[20, 48, 32],
[8, 7, 25],
[32, 32, 47],
[46, 32, 46],
[28, 35, 38],
[39, 19, 31],
[26, 23, 39],
[28, 35, 34],
[34, 19, 47],
[25, 11, 51],
[10, 25, 47],
[45, 38, 31],
[31, 17, 14],
[52, 47, 19],
[27, 28, 52],
[27, 32, 29],
[20, 26, 43],
[29, 55, 4],
[26, 16, 45],
[31, 30, 51],
[24, 51, 43],
[12, 28, 44],
[9, 28, 30],
[14, 27, 32],
[24, 56, 26],
[22, 39, 46],
[25, 60, 41],
[34, 78, 51],
[43, 42, 39],
[28, 41, 40],
[37, 32, 45],
[20, 15, 33],
[41, 38, 30],
[26, 78, 73],
[31, 48, 25],
[33, 61, 49],
[34, 36, 45],
[40, 21, 62],
[66, 47, 74],
[44, 33, 47],
[37, 16, 11],
[59, 67, 84],
[35, 43, 62],
[24, 50, 63],
[77, 57, 40],
[0, 37, 75],
[38, 91, 81],
[37, 60, 75],
[48, 40, 44],
[43, 57, 55],
[59, 60, 78],
[49, 48, 67],
[25, 82, 44],
[54, 57, 28],
[39, 56, 18],
[19, 41, 42],
[25, 39, 62],
[5, 77, 58],
[61, 67, 36],
[71, 61, 46],
[70, 44, 71],
[44, 66, 50],
[18, 100, 29],
[38, 42, 45],
[37, 73, 46],
[21, 52, 83],
[30, 77, 50],
[6, 61, 68],
[36, 74, 85],
[48, 31, 70],
[48, 68, 80],
[30, 50, 68],
[49, 54, 72],
[41, 47, 67],
[25, 65, 43],
[52, 48, 48],
[45, 73, 82],
[31, 58, 40],
[38, 73, 29],
[34, 40, 67],
[32, 33, 19],
[34, 7, 31],
[35, 57, 61],
[71, 67, 58],
[68, 60, 26],
[65, 68, 60],
[58, 65, 90],
[100, 54, 76],
[76, 92, 75],
[73, 59, 91],
[80, 61, 77],
[68, 66, 71],
[73, 77, 60],
[75, 50, 76],
[79, 72, 77],
[57, 49, 57],
[76, 74, 61],
[64, 79, 98],
[84, 70, 65],
[89, 68, 64],
[54, 85, 100],
[59, 57, 69],
[78, 87, 74],
[93, 58, 40],
[62, 54, 89],
[37, 39, 96],
[74, 76, 51],
[74, 74, 71],
[54, 43, 75],
[78, 63, 86],
[60, 68, 42],
[52, 47, 78],
[73, 73, 83],
[63, 52, 46],
[70, 65, 60],
[87, 47, 82],
[72, 47, 65],
[55, 59, 70],
[74, 58, 38],
[75, 54, 66],
[77, 49, 63],
[85, 70, 46],
[82, 71, 69],
[53, 72, 57],
[71, 75, 60],
[68, 69, 84],
[55, 58, 63],
[66, 60, 86],
[52, 30, 84],
[64, 54, 38],
[59, 72, 63],
[73, 61, 89],
[60, 52, 54],
], dtype=int)

performances=[3.0, 3.9, 3.0, 3.8, 2.5, 3.5, 3.7, 3.0, 2.0, 3.4, 3.2, 3.3, 2.0, 3.0, 3.6, 2.6, 2.9, 3.3, 1.4, 3.7, 4.1, 3.3, 3.0, 2.9, 3.3, 3.3, 2.9, 2.7, 3.8, 2.1, 3.9, 3.6, 2.9, 3.0, 2.9, 2.9, 3.7, 3.9, 2.8, 2.2, 2.5, 3.5, 3.6, 4.2, 5.4, 4.1, 3.7, 3.8, 2.3, 3.7, 5.9, 3.5, 4.8, 3.8, 4.1, 6.2, 4.1, 2.1, 7.0, 4.7, 4.6, 5.8, 3.7, 7.0, 5.7, 4.4, 5.2, 6.6, 5.5, 5.0, 4.7, 3.8, 3.4, 4.2, 4.7, 5.5, 5.9, 6.2, 5.3, 4.9, 4.2, 5.2, 5.2, 5.2, 4.5, 6.5, 5.0, 6.6, 4.9, 5.8, 5.2, 4.4, 4.9, 6.7, 4.3, 4.6, 4.7, 2.8, 2.4, 5.1, 6.5, 5.1, 6.4, 7.1, 7.6, 8.1, 7.4, 7.3, 6.9, 7.0, 6.7, 7.6, 5.4, 7.0, 8.0, 7.3, 7.4, 8.0, 6.2, 8.0, 6.4, 6.8, 5.7, 6.7, 7.3, 5.7, 7.5, 5.6, 5.9, 7.6, 5.4, 6.5, 7.2, 6.2, 6.1, 5.7, 6.5, 6.3, 6.7, 7.4, 6.1, 6.9, 7.4, 5.9, 7.1, 5.5, 5.2, 6.5, 7.4, 5.5]


saison2=joueuses



# fonction pour représenter le nuage lorsque k=3

from mpl_toolkits.mplot3d import Axes3D

import matplotlib.pyplot as plt



def affiche(saison2,polesdefinitifs,k):
    '''affiche le nuage de points dans le cas k=3 en catégorisant saison2 selon les poles definitifs obtenu par les k_moyennes (on  colorie de la mm couleur les poles les plus proche d'un pole donné)'''

    fig1 = plt.figure()

    ax = fig1.gca(projection='3d')

    color=["purple","cyan","orange","yellow","gray","black","pink"]

    for kk in range(3):#k=3
        data=[],[],[]
        for i in range(len(saison2)):
            if pole_le_plus_proche(polesdefinitifs,saison2[i])==kk:

                data[0].append(saison2[i][0])
                data[1].append(saison2[i][1])
                data[2].append(saison2[i][2])

        ax.scatter(data[0],data[1],data[2],alpha=1,c=color[kk],s=40,label="catégorie "+str(kk+1))




    ax.set_xlabel('réussite au tir (%)')
    ax.set_ylabel('duels gagnés (%)')
    ax.set_zlabel('temps de jeu effectif (%)')

    plt.legend(loc=2)


    plt.tight_layout()

    plt.show()