Quandl API Documentation

Welcome to Quandl. You'll find comprehensive guides and documentation to help you start working with Quandl as quickly as possible, as well as support if you get stuck. Let's get started.

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TIME-SERIES

Make a time-series call

This call gets the WTI Crude Oil Price, which has a Quandl Code of EIA/PET_RWTC_D from the US Department of Energy database: data = quandl.get("EIA/PET_RWTC_D")

Change formats

You can get the same data in a NumPy array: data = quandl.get("EIA/PET_RWTC_D", returns="numpy")

Make a filtered time-series call

To set start and end dates: data = quandl.get("FRED/GDP", start_date="2001-12-31", end_date="2005-12-31")

To request specific columns: data = quandl.get(["NSE/OIL.1", "WIKI/AAPL.4"])

To request the last 5 rows: data = quandl.get("WIKI/AAPL", rows=5)

Preprocess the data

To change the sampling frequency: data = quandl.get("EIA/PET_RWTC_D", collapse="monthly")

To perform elementary calculations on the data: data = quandl.get("FRED/GDP", transformation="rdiff")

Download an entire time-series database

An entire time-series database's data can be downloaded.

For example, to download the database ZEA: quandl.bulkdownload("ZEA")

This call will download an entire time-series database as a ZIP file.

NOTE:

For a full list of optional query parameters for downloading a time-series database, click here.

TIME-SERIES