change yaml option from unique to nonlinear

docs/appendix/yaml.rst

@@ -351,7 +351,7 @@ for csi plot, list of model names (only) user choose to set as labels.
 
 **score_name:** csi plot only. list of scores user can choose to plot. examples are "Critical Success Index' 'False Alarm Rate' 'Hit Rate'.
 
-**threshold_tick_style:** csi plot only. (optional) control for spacing of threshold (x-axis) ticks. example: use ``unique`` when a unique xtick for each threshold value is desired. Any other selection (default = None) will choose xticks that are equally spaced between min(threshold_list):max(threshold_list).  
+**threshold_tick_style:** csi plot only. (optional) control for spacing of threshold (x-axis) ticks. example: use ``nonlinear`` when nonlinear xticks are desired. Any other selection (default = None) will choose xticks that are equally spaced between min(threshold_list):max(threshold_list).  
 
 **data:** This a list of model / observation pairs to be plotted where the 
 observation label is first and the model label is second 

melodies_monet/plots/surfplots.py

@@ -1566,7 +1566,7 @@ def Plot_CSI(score_name_input,threshold_list_input, comb_bx_input,plot_dict,fig_
 
     #Make Plot
     for i in range(len(CSI_output)):
-        if threshold_tick_style == 'unique':
+        if threshold_tick_style == 'nonlinear':
            plt.plot(range(len(threshold_list)),CSI_output[i],'-*',label=model_name_list[i])
         else:
            plt.plot(threshold_list,CSI_output[i],'-*',label=model_name_list[i])
@@ -1578,7 +1578,7 @@ def Plot_CSI(score_name_input,threshold_list_input, comb_bx_input,plot_dict,fig_
         plt.grid()
 
     #add '>' to xticks
-    if threshold_tick_style == 'unique':
+    if threshold_tick_style == 'nonlinear':
        threshold_string_array = [str(x) for x in threshold_list]
        labels = ['>'+item for item in threshold_string_array]
        ax.set_xticks(range(len(threshold_list)),labels=labels)