It looks like you’ve uploaded an image of an Excel spreadsheet rather than the actual .xlsx file. To export the data from an Excel file to JSON, you would typically use the pandas library in Python.
Here’s a Python script that reads an .xlsx file and converts it to a JSON file:
- Read the
.xlsx file directly using pandas.read_excel().
- Convert the DataFrame to JSON using
.to_json().
- Save the JSON file.
file_path = "your_file.xlsx" # Update this with your actual file path
df = pd.read_excel(file_path, sheet_name=0) # Reads the first sheet
# Convert DataFrame to JSON
json_output = df.to_json(orient="records", indent=4) # Convert to a list of records
json_file_path = "output.json"
with open(json_file_path, "w", encoding="utf-8") as json_file:
json_file.write(json_output)
print(f"JSON file saved to {json_file_path}")
pd.read_excel(file_path, sheet_name=0): Reads the first sheet of the Excel file.
.to_json(orient="records", indent=4): Converts the data to JSON, formatting it as a list of dictionaries (good for structured data).
- Saves the JSON file as
output.json.
- You don’t need to convert to CSV since
pandas can read Excel files directly.
- If your Excel file has multiple sheets, you can loop through them or specify a different
sheet_name.
If you upload your actual Excel file, I can run this script for you and provide the JSON output. 🚀