plot.py 文件源码

def shot_heatmap(df,sigma = 1,log=False,player_pic=True,ax=None,cmap='jet'):
    '''
    This function plots a heatmap based on the shot chart.
    input - dataframe with x and y coordinates.
    optional - log (default false) plots heatmap in log scale. 
               player (default true) adds player's picture and name if true 
               sigma - the sigma of the Gaussian kernel. In feet (default=1)
    '''
    n,_,_ = np.histogram2d( 0.1*df['LOC_X'].values, 0.1*df['LOC_Y'].values,bins = [500, 500],range = [[-25,25],[-5.25,44.75]])
    KDE = ndimage.filters.gaussian_filter(n,10.0*sigma)
    N = 1.0*KDE/np.sum(KDE)
    if ax is None:
        ax = plt.gca(xlim = [30,-30],ylim = [-7,43],xticks=[],yticks=[],aspect=1.0)
    court(ax,outer_lines=True,color='black',lw=2.0,direction='down')
    ax.axis('off')
    if log:
        ax.imshow(np.rot90(np.log10(N+1)),cmap=cmap,extent=[25.0, -25.0, -5.25, 44.75])
    else:
        ax.imshow(np.rot90(N),cmap=cmap,extent=[25.0, -25.0, -5.25, 44.75])
    if player_pic:
        player_id = df.PLAYER_ID.values[0]
        pic = players_picture(player_id)
        ax.imshow(pic,extent=[15,25,30,37.8261])
    ax.text(0,-7,'By: Doingthedishes',color='white',horizontalalignment='center',fontsize=20,fontweight='bold')