Update pages/6_Semi_structured_data.py

pages/6_Semi_structured_data.py

@@ -340,6 +340,42 @@ elif file_type == "JSON":
      output = '{"name":{"0":"harii","1":"sree","2":"gowtham"},"age":{"0":21,"1":24,"2":25},"weight":{"0":34,"1":45,"2":67}}'
     ''')
 
+    st.subheader("Orient as Values...")
+    st.markdown('''
+    - In orient as values while converting DataFrame into json it gives you list of list (nested list)
+    ''')
+    st.code('''import pandas as pd
+    a = '{"name":["harii","sree","gowtham"],"age":[21,24,25],"weight":[34,45,67]}'
+    data = pd.read_json(a)
+    val = data.to_json(orient="values")
+    val
+    ''')
+    st.markdown('''
+    - Output will be:
+    ''')
+    st.code('''
+     output = '[["harii",21,34],["sree",24,45],["gowtham",25,67]]' 
+    ''')
+
+    st.subheader("Orient as Split...")
+    st.markdown('''
+    - In orient as split while converting DataFrame into json it gives column names , indices and data seperately 
+    - It is a dictionary of list
+    ''')
+    st.code('''import pandas as pd'
+    a = '{"name":["harii","sree","gowtham"],"age":[21,24,25],"weight":[34,45,67]}'
+    data = pd.read_json(a)
+    spl = data.to_json(orient="split")
+    spl
+    ''')
+    st.markdown('''
+    - Output will be:
+    ''')
+    st.code('''
+    output = '{"columns":["name","age","weight"],"index":[0,1,2],"data":[["harii",21,34],["sree",24,45],["gowtham",25,67]]}'
+    ''')
+    
+