storing multiple dictionary for displaying dataframe

SearchEngine/InvertedIndexSimulator/inverted/main.py

@@ -12,31 +12,9 @@ from Sastrawi.Stemmer.StemmerFactory import StemmerFactory
 from itertools import count
 import collections
 import math
-from xml.etree.ElementTree import ElementTree
-import pandas as pd
-from django.shortcuts import render
 import xml.etree.ElementTree as et 
 
 
-
-def data_view(data):
-
-    df_cols = ["DOCNO", "SONG", "ARTIST", "LYRICS"]
-    rows = []
-
-    for node in data: 
-        s_docno = node.find("DOCNO").text if node is not None else None
-        s_song = node.find("SONG").text if node is not None else None
-        s_artist = node.find("ARTIST").text if node is not None else None
-        s_lyrics = node.find("LYRICS").text if node is not None else None
-        
-        rows.append({"DOCNO": s_docno, "SONG": s_song, 
-                     "ARTIST": s_artist, "LYRICS": s_lyrics})
-    
-    DataFrame = pd.DataFrame(rows, columns = df_cols)
-	
-    return render(data, 'apps/dataframe.html', {'DataFrame': DataFrame})
-
 ##############Remove Punctuation, URL and Tokenize###################
 def remove_punc_tokenize(sentence):
     tokens = []
@@ -227,7 +205,7 @@ def main(query):
     return hasil
 
 def detail(nomor):
-    tree = ElementTree()
+    tree = et()
     tree.parse("apps/data/dataset_STBI.xml")
 
     all_doc_no = []

SearchEngine/InvertedIndexSimulator/templates/apps/dataframe.html

@@ -17,18 +17,21 @@
 					<center><h1>Dataset</h1><br>
 						<table style="width:100%">
 							<tr>
-								{% for data in DataFrame %}
-									<th>{{ data }}</th>
-								{% endfor %}
-						 
-								{% for i, row in DataFrame.iterrows %}
-									<tr>
-										{% for value in data %}
-												<td>{{ value }}</td>
-										{% endfor %}
-									</tr>
-								{% endfor %}
+								<th>DOCNO</th>
+								<th>SONG</th>
+								<th>ARTIST</th>
+								<th>LYRICS</th>
 							</tr>
+							
+							{% for l in LYRICS %}
+								<tr>
+									<td>{{ i }}</td>
+									<td>{{ j }}</td>
+									<td>{{ k }}</td>
+									<td>{{ l }}</td>
+								</tr>
+							{% endfor %}
+							
 						</table>
 					</center>
 				</article>
@@ -36,9 +39,9 @@
 		
 		</main>
 		
-		<footer>
+		<!-- <footer>
 			<p>&copy; STBI-2020-03</p>
-		</footer>
+		</footer> -->
 
 	</body>
 	

SearchEngine/InvertedIndexSimulator/views.py

 from django.shortcuts import render
 from django.http import HttpResponse
 from InvertedIndexSimulator.inverted import main
-# Create your views here.
-# def index(request):
-#     return HttpResponse("Hello, world. You're at the polls index.")
+import pandas as pd 
+import xml.etree.ElementTree as et
 
 def home(request):
     return render(request, 'apps/home.html')
 
 def dataframe(request):
-    import pandas as pd 
-    import xml.etree.ElementTree as et 
-
+    
     parse_data = et.parse("InvertedIndexSimulator/data/dataset_STBI.xml")
     data = parse_data.getroot() 
-    content = main.data_view(data)
     
-    return render(request, 'apps/dataframe.html', content)
+    df_cols = ["DOCNO", "SONG", "ARTIST", "LYRICS"]
+    rows = []
+
+    for node in data: 
+        s_docno = node.find("DOCNO").text if node is not None else None
+        s_song = node.find("SONG").text if node is not None else None
+        s_artist = node.find("ARTIST").text if node is not None else None
+        s_lyrics = node.find("LYRICS").text if node is not None else None
+        
+        rows.append({"DOCNO": s_docno, "SONG": s_song, "ARTIST": s_artist, "LYRICS": s_lyrics})
+    
+    DataFrame = pd.DataFrame(rows, columns = df_cols)
+    
+    dictionary = DataFrame.set_index('DOCNO').T.to_dict('list')
+    
+    nilai    = list(dictionary.values())
+    nomornya = list(dictionary.keys())
+    
+    lagunya  = [sublist[0] for sublist in nilai]
+    artisnya = [sublist[1] for sublist in nilai]
+    liriknya = [sublist[2] for sublist in nilai]
+    
+    context = {"DOCNO": nomornya, "SONG": lagunya, "ARTIST": artisnya, "LYRICS": liriknya}
+    
+    return render(request, 'apps/dataframe.html', context)
 
 def preprocessing(request):
     return render(request, 'apps/preprocessing.html')