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Extract data from a wide range of Internet sources into a pandas DataFrame.
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pydata/pandas-datareader
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Up to date remote data access for pandas, works for multiple versions ofpandas.
Install usingpip
pip install pandas-datareader
importpandas_datareaderaspdrpdr.get_data_fred('GS10')
Stable documentation is available ongithub.io. A second copy of the stabledocumentation is hosted onread the docsfor more details.
Development documentation is availablefor the latest changes in master.
Using pandas datareader requires the following packages:
- pandas>=1.5.3
- lxml
- requests>=2.19.0
Building the documentation additionally requires:
- matplotlib
- ipython
- requests_cache
- sphinx
- pydata_sphinx_theme
Development and testing additionally requires:
- black
- coverage
- codecov
- coveralls
- flake8
- pytest
- pytest-cov
- wrapt
python -m pip install git+https://github.com/pydata/pandas-datareader.git
or
git clone https://github.com/pydata/pandas-datareader.gitcd pandas-datareaderpython setup.py install
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Extract data from a wide range of Internet sources into a pandas DataFrame.
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