update HiLo script

HiLo.py

@@ -7,13 +7,13 @@ def plot_maxmin_points(ax,lon, lat, data, extrema, nsize, symbol,color='k', outl
                        outline_width=2.5, press_spacing=0.66,plotValue=True, transform=None):
 
     """
-    ax argument allows for sending current axis to the HiLo plot 
-    
-    Path effects on the symbols and pressure readings - outline them in black (default) with linewidth 
-    2.5 (default) to make them pop a bit more. The press_spacing (0.66 default) is based off latitude and helps 
+    ax argument allows for sending current axis to the HiLo plot
+
+    Path effects on the symbols and pressure readings - outline them in black (default) with linewidth
+    2.5 (default) to make them pop a bit more. The press_spacing (0.66 default) is based off latitude and helps
     serarate the pressure reading and the symbol with the outline effects making them overlap.
-    
-    
+
+
     This function will find and plot relative maximum and minimum for a 2D grid. The function
     can be used to plot an H for maximum values (e.g., High pressure) and an L for minimum
     values (e.g., low pressue). It is best to used filetered data to obtain  a synoptic scale
@@ -41,9 +41,8 @@ def plot_maxmin_points(ax,lon, lat, data, extrema, nsize, symbol,color='k', outl
         data_ext = minimum_filter(data, nsize, mode='nearest')
     else:
         raise ValueError('Value for hilo must be either max or min')
-    
+
     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,
@@ -55,5 +54,3 @@ def plot_maxmin_points(ax,lon, lat, data, extrema, nsize, symbol,color='k', outl
                     color=color, size=12, clip_on=True, fontweight='bold',
                     horizontalalignment='center', verticalalignment='top', transform=transform)
         B.set_path_effects(outline_effect)
-
-