Update app.py

app.py

@@ -1629,50 +1629,45 @@ def plot_trial_country_map(df):
 
     ## Root Country Node
     icicle_df = pd.DataFrame(columns=['ids', 'labels', 'parents', 'hover_text'])
-    icicle_df = icicle_df.append(pd.DataFrame({
+    icicle_df = pd.concat([icicle_df, pd.DataFrame({
         'ids': ["Country"],
         'labels': ["Country"],
         'parents': [""],
         'hover_text': ["Country"]
-    }), ignore_index=True)
+    })], ignore_index=True)
 
-    icicle_df = icicle_df.append(pd.DataFrame({
+    icicle_df = pd.concat([icicle_df, pd.DataFrame({
         'ids': df['Country'].unique(),
         'labels': df['Country'].unique(),
         'parents': ["Country"] * len(df['Country'].unique()),
         'hover_text': [f"({len(df[df['Country'] == country]['NCTId'].unique())} Trials)" for country in df['Country'].unique()]
-    }), ignore_index=True)
+    })], ignore_index=True)
 
     ### Country and Conditions
 
     for country in df['Country'].unique():
         temp_df = df[df['Country'] == country]
         conditions = temp_df['Condition'].unique()
-        icicle_df = icicle_df.append(pd.DataFrame({
+        icicle_df = pd.concat([icicle_df, pd.DataFrame({
             'ids': [f"{country}__{condition}" for condition in conditions],
             'labels': conditions,
             'parents': [country] * len(conditions),
             'hover_text': [f"({len(temp_df[temp_df['Condition'] == condition]['NCTId'].unique())} Trials)" for condition in conditions]
-        }), ignore_index=True)
+        })], ignore_index=True)
 
     ### Country with Conditions and Trials NCTId and OrgStudId
 
     for country_condition in icicle_df['ids'][icicle_df['parents'].isin(df['Country'].unique())]:
         country, condition = country_condition.split('__')
         temp_df = df[(df['Country'] == country) & (df['Condition'] == condition)]
-        #trials = temp_df[['NCTId', 'OrgStudyId']].apply(lambda x: f"{x['NCTId']}<br>{x['OrgStudyId']}", axis=1).unique()
         trials = temp_df['NCTId'].unique()
-        # Update the trials line to include both NCTId and OrgStudyId
-        #trials = [temp_df[['NCTId', 'OrgStudyId']].apply(lambda x: f"{x['NCTId']}<br>{x['OrgStudyId']}", axis=1).unique() for trial in trials]
-
-        #trials = [f"<br>{(temp_df[temp_df['NCTId'] == trial]['OrgStudyId'].iloc[0])}" for trial in trials]
         trial_labels = [f"<br>{insert_line_break(temp_df[temp_df['NCTId'] == trial]['BriefTitle'].iloc[0])}" for trial in trials]
-        icicle_df = icicle_df.append(pd.DataFrame({
+        icicle_df = pd.concat([icicle_df, pd.DataFrame({
             'ids': [f"{country_condition}__{trial}" for trial in trials],
             'labels': trials,
             'parents': [country_condition] * len(trials),
             'hover_text': trial_labels
-        }), ignore_index=True)
+        })], ignore_index=True)
 
     fig = go.Figure(go.Icicle(
         ids=icicle_df.ids,
@@ -1690,13 +1685,10 @@ def plot_trial_country_map(df):
 
     return fig
 
-####################
-
-################################################################    SITES        #####################################################
-
-
 
+####################
 
+################################################################    SITES        ####################################################
 
 ################################################################ TRIAL SITES   ###########################################
 def plot_trial_sites(df):
@@ -1716,51 +1708,47 @@ def plot_trial_sites(df):
 
     ## Root Site Node
     icicle_df = pd.DataFrame(columns=['ids', 'labels', 'parents', 'hover_text'])
-    icicle_df = icicle_df.append(pd.DataFrame({
+    icicle_df = pd.concat([icicle_df, pd.DataFrame({
         'ids': ["Sites"],
         'labels': ["Sites"],
         'parents': [""],
         'hover_text': ["Sites"]
-    }), ignore_index=True)
+    })], ignore_index=True)
 
-    icicle_df = icicle_df.append(pd.DataFrame({
+    icicle_df = pd.concat([icicle_df, pd.DataFrame({
         'ids': df['City'].unique(),
         'labels': df['City'].unique(),
         'parents': ["Sites"] * len(df['City'].unique()),
         'hover_text': [f"({len(df[df['City'] == city]['NCTId'].unique())} Trials)" for city in df['City'].unique()]
-    }), ignore_index=True)
+    })], ignore_index=True)
 
     ### City and Site
 
     for city in df['City'].unique():
         temp_df = df[df['City'] == city]
         sites = temp_df['Site'].unique()
-        icicle_df = icicle_df.append(pd.DataFrame({
+        icicle_df = pd.concat([icicle_df, pd.DataFrame({
             'ids': [f"{city}__{site}" for site in sites],
             'labels': sites,
             'parents': [city] * len(sites),
             'hover_text': [f"({len(temp_df[temp_df['Site'] == site]['NCTId'].unique())} Trials)" for site in sites]
-        }), ignore_index=True)
+        })], ignore_index=True)
 
     ### Site and Trials (NCTId, OrgStudyId, BriefTitle)
 
     for city_site in icicle_df['ids'][icicle_df['parents'].isin(df['City'].unique())]:
         city, site = city_site.split('__')
         temp_df = df[(df['City'] == city) & (df['Site'] == site)]
-       #trials = temp_df[['NCTId', 'OrgStudyId', 'BriefTitle']].apply(lambda x: f"{x['NCTId']}<br>{x['OrgStudyId']}<br>{insert_line_break(x['BriefTitle'])}", axis=1).unique()
         trials = temp_df[['NCTId', 'OrgStudyId']].apply(lambda x: f"{x['NCTId']}<br>{x['OrgStudyId']}", axis=1).unique()
-     #   ncts  = temp_df['NCTId'].unique()
 
         for trial in trials:
             nctid = trial.split('<br>')[0]
-            icicle_df = icicle_df.append(pd.DataFrame({
+            icicle_df = pd.concat([icicle_df, pd.DataFrame({
                 'ids': [f"{city_site}__{nctid}"],
                 'labels': [trial],
-              #  'labels': [ncts],
                 'parents': [city_site],
-                #'hover_text': [trial]
                 'hover_text': [""]
-            }), ignore_index=True)
+            })], ignore_index=True)
 
     fig = go.Figure(go.Icicle(
         ids=icicle_df.ids,
@@ -1777,7 +1765,6 @@ def plot_trial_sites(df):
     return fig
 
 
-
 #############################################################################################################################################
 def plot_trial_site_map(df):
     def insert_line_break(text, max_length=30):