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Update pages/6_Semi_structured_data.py
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pages/6_Semi_structured_data.py
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@@ -311,11 +311,25 @@ elif file_type == "JSON":
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''')
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st.code('''import pandas as pd
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a = '{"name":["harii","sree","gowtham"],"age":[21,24,25],"weight":[34,45,67]}'
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ind = data.to_json(orient="index")
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ind
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output = '{"0":{"name":"harii","age":21,"weight":34},"1":{"name":"sree","age":24,"weight":45},"2":{"name":"gowtham","age":25,"weight":67}}'
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''')
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''')
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st.code('''import pandas as pd
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a = '{"name":["harii","sree","gowtham"],"age":[21,24,25],"weight":[34,45,67]}'
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data = pd.read_json(a)
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ind = data.to_json(orient="index")
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ind
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output = '{"0":{"name":"harii","age":21,"weight":34},"1":{"name":"sree","age":24,"weight":45},"2":{"name":"gowtham","age":25,"weight":67}}'
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''')
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st.subheader("Orient as Columns...")
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st.markdown('''
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- In orient as columns while converting DataFrame into json here keys become column names and values are dictionary
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- Inside dictionary keys are indices and values are values present in the data
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''')
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st.code('''import pandas as pd
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a = '{"name":["harii","sree","gowtham"],"age":[21,24,25],"weight":[34,45,67]}'
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data = pd.read_json(a)
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col = data.to_json(orient="columns")
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col
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output = '{"name":{"0":"harii","1":"sree","2":"gowtham"},"age":{"0":21,"1":24,"2":25},"weight":{"0":34,"1":45,"2":67}}'
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''')
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