Pandas to JSON without Index - Python

When working with data in Pandas, it's common to convert the data to JSON format for easy storage and transfer. However, by default, the to_json() function includes the index of the DataFrame. This can be a problem if you don't want to include the index in your JSON file. In this tutorial, we'll show you how to convert a Pandas DataFrame to JSON without the index.

Solution

To convert a Pandas DataFrame to JSON without the index, you need to use the orient parameter of the to_json() function. The orient parameter specifies the format of the JSON file you want to output. By default, orient is set to index, which includes the index in the output.

To exclude the index from the output, you can set orient to records. This will output a JSON file where each row of the DataFrame is represented as a separate record with no index.

Here's an example:

import pandas as pd

# create a sample DataFrame
df = pd.DataFrame({
    'name': ['John', 'Anna', 'Peter'],
    'age': [25, 32, 19]
})

# convert the DataFrame to JSON without the index
json_output = df.to_json(orient='records')

# print the output
print(json_output)

Output:

[{"name":"John","age":25},{"name":"Anna","age":32},{"name":"Peter","age":19}]

As you can see, the resulting JSON file does not include the index.

Conclusion

Converting a Pandas DataFrame to JSON without the index is easy using the to_json() function with the orient parameter set to records. This will output a JSON file where each row of the DataFrame is represented as a separate record with no index.