{"repo":"pydata/pandas-datareader","free":true,"listed":false,"github":"https://github.com/pydata/pandas-datareader","clone":"git clone https://github.com/pydata/pandas-datareader.git","description":"Extract data from a wide range of Internet sources into a pandas DataFrame.","language":"Python","stars":3235,"topics":["html","data-analysis","data","dataset","stock-data","finance","financial-data","python","pydata","pandas"],"license":null,"category":"trading","readme_excerpt":"pandas-datareader Macroeconomic and factor-oriented remote data access for pandas. Installation Install using pip Usage 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 ) 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 or","default_branch":null,"files":null,"tree":[],"storefront":"/r/pydata","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/pydata/pandas-datareader/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}