Extract data from a wide range of Internet sources into a pandas DataFrame.
Last updated Jul 7, 2026
3.2k
Stars
689
Forks
143
Issues
+2
Stars/day
Attention Score
81
Topics
Language breakdown
No language data available.
โธ Files
click to expand
README
pandas-datareader
Macroeconomic and factor-oriented remote data access for pandas.Installation
Install usingpip
shell
pip install pandas-datareader
Usage
python
import pandas_datareader as pdr
pdr.getdatafred('GS10')
The public API is focused on macroeconomic, policy, and factor-style data
sources such as FRED, Fama/French, Bank of Canada, World Bank, OECD,
Eurostat, and the new pandas_datareader.macro interface.
Documentation
Stable documentation is available on github.io. A second copy of the stable documentation is hosted on read the docs for more details. Development documentation is available for the latest changes in master.Requirements
Using pandas datareader requires the following packages:- pandas>=1.5.3
- lxml
- requests>=2.19.0
- distutils (not included in standard library of Python 3.12 and above it, which can be solved by installing
setuptools)
- matplotlib
- ipython
- requests_cache
- sphinx
- pydatasphinxtheme
- black
- coverage
- codecov
- coveralls
- flake8
- pytest
- pytest-cov
- wrapt
Install latest development version
shell
python -m pip install git+https://github.com/pydata/pandas-datareader.git
or
shell
git clone https://github.com/pydata/pandas-datareader.git
cd pandas-datareader
python -m pip install -e .๐ More in this category