Update app.py

app.py

@@ -424,12 +424,13 @@ inter_labres = pn.bind(labres, column_changer)
 def lab_management(year_slider, column_changer):
     scatterdata = df[(df.year == year_slider)&(df.people.str.contains('KGYC|Cyto'))].sort_values(by="people", \
                     ascending=False,key=natsort_keygen()).reset_index(drop=True)
+    scatterdata_filtered = scatterdata[~scatterdata.people.str.contains('Cytologist 8', case=False, na=False)]
     ref = df[column_changer].iloc[0]
-    lab = scatterdata[column_changer].iloc[0]
+    lab = scatterdata_filtered[column_changer].iloc[0]
     
-    max_x = scatterdata[column_changer].max()
-    max_x_abn = scatterdata[scatterdata.people.str.contains('ytolog')][column_changer].max()
-    min_x = scatterdata[column_changer].min()
+    max_x = scatterdata_filtered[column_changer].max()
+    max_x_abn = scatterdata_filtered[scatterdata.people.str.contains('ytolog')][column_changer].max()
+    min_x = scatterdata_filtered[column_changer].min()
     if column_changer != 'ASC-US/ASC-H ratio(%)':
         tooltips_cp =  f""" 
                     <div>
@@ -453,7 +454,7 @@ def lab_management(year_slider, column_changer):
                     </div>
                 """
     hover_cp = HoverTool(tooltips=tooltips_cp)
-    scatter_plot = scatterdata[scatterdata.people.str.contains('Cyto', na=False)].hvplot.scatter(x=column_changer, y='people', color='black', size=sdot_size, height= sheight,
+    scatter_plot = scatterdata_filtered[scatterdata.people.str.contains('Cyto', na=False)].hvplot.scatter(x=column_changer, y='people', color='black', size=sdot_size, height= sheight,
                                                         xlim=(0,max_x+0.5), xticks = [0,lab,ref, max_x], grid=True, title=column_changer,
                                                         xformatter='%.1f',xlabel ='', ylabel='', tools = [hover_cp]).opts(fontsize = pl_title, fontscale=f_scale_lab, shared_axes=False, toolbar=None, default_tools = []) 
     ref_vline = hv.VLine(x=ref).opts(color='black', alpha = 1).opts(shared_axes=False,toolbar=None, default_tools = [])