pandas-datareader¶
Up to date remote data access for pandas, works for multiple versions of pandas.
Warning
As of v0.7.0 Google finance and Morningstar have been been immediately deprecated due to large changes in their API and no stable replacement.
Usage¶
Starting in 0.19.0, pandas no longer supports pandas.io.data
or pandas.io.wb
, so
you must replace your imports from pandas.io
with those from pandas_datareader
:
from pandas.io import data, wb # becomes
from pandas_datareader import data, wb
Many functions from the data module have been included in the top level API.
import pandas_datareader as pdr
pdr.get_data_fred('GS10')
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.
Installation¶
Requirements¶
Using pandas datareader requires the following packages:
- pandas>=0.19.2
- lxml
- requests>=2.3.0
- wrapt
Building the documentation additionally requires:
- matplotlib
- ipython
- sphinx
- sphinx_rtd_theme
Testing requires pytest.
Install latest release version via pip¶
$ pip install pandas-datareader
Install latest development version¶
$ pip install git+https://github.com/pydata/pandas-datareader.git
or
$ git clone https://github.com/pydata/pandas-datareader.git
$ python setup.py install
Documentation¶
Contents:
- What’s New
- Remote Data Access
- Caching queries
- Other Data Sources
- Data Readers
- AlphaVantage
- Federal Reserve Economic Data (FRED)
- Fama-French Data (Ken French’s Data Library)
- Bank of Canada
- Engima
- Eurostat
- The Investors Exchange (IEX)
- Moscow Exchange (MOEX)
- Morningstar
- NASDAQ
- Organisation for Economic Co-operation and Development (OECD)
- Quandl
- Robinhood
- Stooq.com
- Tiingo
- Thrift Savings Plan (TSP)
- World Bank