How can I convert an Excel file to a JSON file effectively?

 In the context of DevOps, if you aim to convert excel to JSON file, then you can complete this particular process by using programming languages such as Python programming language, pandas, and JSON. Here is the example given:-

Import pandas as pd

# Read Excel file into a pandas DataFrame
Excel_data = pd.read_excel(‘your_excel_file.xlsx’)
# Convert DataFrame to JSON
Json_data = excel_data.to_json(orient=’records’)
# Save or use the JSON data as needed
With open(‘output.json’, ‘w’) as json_file:
    Json_file.write(json_data)

This above code utilizes the pandas for reading the Excel file into a frame and then converting the DataFrame into the format of JSON file by using the “to_json()” function with the “orient=’records’ parameter. Then finally it saves the data of JSON to a file named “output.json”.

This above process helps you convert the Excel spreadsheet into a JSON file effectively. This process also maintains the integrity of data and structure while completing the process.