Update app.py

app.py

@@ -429,7 +429,7 @@ def lab_management(year_slider, column_changer):
     lab = scatterdata_filtered[column_changer].iloc[0]
     
     max_x = scatterdata_filtered[column_changer].max()
-    max_x_abn = scatterdata_filtered[scatterdata.people.str.contains('ytolog')][column_changer].max()
+    max_x_abn = scatterdata_filtered[scatterdata_filtered.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""" 
@@ -454,7 +454,7 @@ def lab_management(year_slider, column_changer):
                     </div>
                 """
     hover_cp = HoverTool(tooltips=tooltips_cp)
-    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,
+    scatter_plot = scatterdata_filtered[scatterdata_filtered.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 = [])
@@ -468,7 +468,7 @@ def lab_management(year_slider, column_changer):
         asclsil_bg =(asc_lsil_goal.opts(color='#ACFFA0', alpha=0.75) * asc_lsil_bdln_2.opts(color='#6AB35F', alpha=0.75) * asc_lsil_bdln_1.opts(color='#6AB35F', alpha=0.75) * asc_lsil_att.opts(color='#B34D93', alpha=0.9))
         return (asclsil_bg* ref_vline * lab_vline * scatter_plot).opts(shared_axes=False)
     elif column_changer == 'ASC-US/ASC-H ratio(%)' :
-        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_filtered.people.str.contains('Cyto', na=False)].hvplot.scatter(x=column_changer, y='people', color='black', size=sdot_size,height= sheight,
                                                         xlim=(17,100), xticks = [min_x,lab,ref, max_x], rot=45, grid=True, title=column_changer,
                                                         xformatter='%.1f',ylabel='',xlabel='', tools = [hover_cp]).opts(fontsize = pl_title,fontscale=f_scale_lab,shared_axes=False,toolbar=None, default_tools = [])
         asc_us_goal = hv.VSpan(90, 100).opts(shared_axes=False,toolbar=None, default_tools = []) #Ide beállítottam a treshold_1, 2 értékeket hogy a labor átlagából vett zónákat reprezentálja
@@ -491,7 +491,7 @@ def lab_management(year_slider, column_changer):
     #    return (aus_bg* lab_vline * scatter_plot).opts(shared_axes=False)
     #
     elif column_changer == 'Abnormal Rate(%)':
-        scatter_plot = scatterdata[scatterdata.people.str.contains('Cytol', na=False)].hvplot.scatter(x=column_changer, y='people', color='black', size=sdot_size,height= sheight,
+        scatter_plot = scatterdata_filtered[scatterdata_filtered.people.str.contains('Cytol', na=False)].hvplot.scatter(x=column_changer, y='people', color='black', size=sdot_size,height= sheight,
                                                         xlim=(0,max_x_abn), xticks = [0,lab,ref,3, max_x_abn], grid=True, title=column_changer,
                                                             xformatter='%.1f',ylabel='', xlabel='',tools = [hover_cp]).opts(fontsize = pl_title,fontscale=f_scale_lab,shared_axes=False,toolbar=None, default_tools = [])
         asc_agc_goal = hv.VSpan(4.5, 6.5).opts(shared_axes=False,toolbar=None, default_tools = [])
@@ -502,7 +502,7 @@ def lab_management(year_slider, column_changer):
                     asc_agc_bdln_2.opts(color='#6AB35F', alpha=0.75) *asc_agc_att.opts(color='#B34D93', alpha=0.9))
         return (ascagc_bg* ref_vline * lab_vline*scatter_plot).opts(toolbar='above', default_tools=[]).opts(shared_axes=False)
     elif column_changer == 'Referral Rate(%)':
-        scatter_plot = scatterdata[scatterdata.people.str.contains('Cytol', na=False)].hvplot.scatter(x=column_changer, y='people', color='black', size=sdot_size,height= sheight,
+        scatter_plot = scatterdata_filtered[scatterdata_filtered.people.str.contains('Cytol', 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, max_x], grid=True, title=column_changer,
                                                             xformatter='%.1f',ylabel='', xlabel='',tools = [hover_cp]).opts(fontsize = pl_title,fontscale=f_scale_lab,shared_axes=False,toolbar=None, default_tools = [])
         ref_goal = hv.VSpan(7, 13).opts(shared_axes=False,toolbar=None, default_tools = [])