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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.

imageimageimageimageLicense

Installation

Install usingpip

pip install pandas-datareader

Usage

importpandas_datareaderaspdrpdr.get_data_fred('GS10')

Documentation

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.

Requirements

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

Install latest development version

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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