Update pages/6_Semi_structured_data.py

pages/6_Semi_structured_data.py

@@ -293,16 +293,28 @@ elif file_type == "JSON":
     - In structured JSON format, orient refers to the way data is organized or structured, particularly when converting between tabular data like DataFrames and JSON.
     - It determines the layout of the JSON representation.
     - Common orient types are 
-    ◆ Index
-    ◆ Columns
-    ◆ Values
-    ◆ Split
+    - ◆ Index
+    - ◆ Columns
+    - ◆ Values
+    - ◆ Split
     ''')
     st.subheader("How to read Structured JSON Format?...")
     st.code('''import pandas as pd
     a = '{"name":["harii","sree"],"age":[12,13]}'
     pd.read_json(a)
     ''')
+    st.header("Converting DataFrame into JSON...")
+    st.subheader("Orient as Index...")
+    st.markdown('''
+    - In orient as index while converting DataFrame into json here keys are index and values are dictionary
+    - Inside dictionary keys are column names and values are values present in the data
+    ''')
+    st.code('''import pandas as pd
+    a = '{"name":["harii","sree","gowtham"],"age":[21,24,25],"weight":[34,45,67]}'
+    ind = data.to_json(orient="index")
+    ind
+    output = '{"0":{"name":"harii","age":21,"weight":34},"1":{"name":"sree","age":24,"weight":45},"2":{"name":"gowtham","age":25,"weight":67}}'
+    ''')