def plot_maxmin_points(ax, lon, lat, data, extrema, nsize, symbol, color='k',
                       plotValue=True, transform=None):

       import numpy as np
       from matplotlib import patheffects
       from scipy.ndimage.filters import maximum_filter, minimum_filter
       outline_effect = [patheffects.withStroke(linewidth=2.5, foreground='black')]
       
       mxy, mxx = np.where(data_ext == data)
       #print(mxy,mxx)
    
       for i in range(len(mxy)):
          A = ax.text(lon[mxy[i], mxx[i]], lat[mxy[i], mxx[i]], symbol, color=color, size=24,
                    clip_on=True, horizontalalignment='center', verticalalignment='center',
                    transform=transform)
          A.set_path_effects(outline_effect)
          B = ax.text(lon[mxy[i], mxx[i]], lat[mxy[i], mxx[i]]-0.66,
                    str(np.int(data[mxy[i], mxx[i]])),
                    color=color, size=12, clip_on=True, fontweight='bold',
                    horizontalalignment='center', verticalalignment='top', transform=transform)
          B.set_path_effects(outline_effect)

lon[mxy[i], mxx[i]], lat[mxy[i], mxx[i]]-0.66