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Pulling data into a Pandas DataFrame

This guide demonstrates how to extract data from CloudQuant Data Liberator datasets into Python pandas DataFrames. The examples use daily_bars, a dataset containing US Equity daily OHLCV (Open, High, Low, Close, Volume) data with additional fields.

Example: pulling daily bars for AAPL

Multi-line approach

Single-line approach

Key features

  • Flexible symbol input — accepts single symbols, lists, or None (all symbols)
  • Granular time selection — supports daily, minute, second, and nanosecond resolution
  • Simple syntax — collapsible into single-line queries for efficiency
The query returns a properly formatted pandas DataFrame containing the requested historical data.