CSV to JSON for Pandas — DataFrame Format
Quick Answer: Convert CSV data to JSON in pandas-compatible formats. The "records" orientation produces [{col1: val1, col2: val2}, ...] which matches pd.read_json(orient="records"). Paste your CSV to get JSON ready for pandas DataFrame import.
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FAQ
What JSON format does pandas expect?
pandas supports multiple orientations: "records" (array of objects), "columns" (object of arrays), "index" (nested by row index), and "split" (separate columns/data/index arrays).
Should I use CSV or JSON for pandas?
CSV for tabular data (pd.read_csv is faster). JSON for nested/hierarchical data or API responses. CSV is the standard for data exchange with pandas.