Pandas CSV to JSON: df.to_json() Orientations
Use pandas to_json() to export DataFrames as records, index, split, or table orientation. Includes date handling and chunking large files.
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Tags: data, python, pandas
Pandas CSV to JSON: df.tojson() Options and Orientation Guide looks deceptively simple. One method, one call — until you need to control the shape of the output, handle NaN values, format dates, or compress the result. This guide is a complete reference for every option pandas provides for JSON serialization, with concrete examples of when each orientation is the right choice. --- The Six Orientations The parameter is the most important decision. It controls the entire shape of the output. Setup for all examples --- — Array of objects When to use: REST API responses, database inserts, any context where each row is an independent record. This is the default for most web/API use cases. Maps directly to what would produce. Gotcha: Row index is not included. If you need the original DataFrame…
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