pandas normalize column with json

Sure, I'd be happy to provide you with an informative tutorial on how to normalize a column with JSON data in a Pandas DataFrame. In this tutorial, I'll guide you through the process step by step, and I'll provide you with a code example along the way.
Step 1: Import Necessary Libraries
Start by importing the required libraries. In this case, we need Pandas for data manipulation.
Step 2: Create a Sample DataFrame
Let's create a sample DataFrame with a column containing JSON data.
Step 3: Normalize the JSON Column
Now, let's normalize the JSON column using the json_normalize function from Pandas.
Step 4: Combine DataFrames
Combine the normalized DataFrame with the original DataFrame, dropping the original JSON column.
Step 5: Final Code
Here's the complete code:
This code will output the original DataFrame and the normalized DataFrame after processing the JSON column. You can adapt this code to your specific JSON structure and DataFrame setup.
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