Metadata-Version: 2.4
Name: pandas-datareader
Version: 0.10.0
Summary: Pandas-compatible data readers. Formerly a component of pandas.
Author-email: The PyData Development Team <pydata@googlegroups.com>
License: =======
        License
        =======
        
        pandas is distributed under a 3-clause ("Simplified" or "New") BSD
        license. Parts of NumPy, SciPy, numpydoc, bottleneck, which all have
        BSD-compatible licenses, are included. Their licenses follow the pandas
        license.
        
        pandas license
        ==============
        
        Copyright (c) 2011-2012, Lambda Foundry, Inc. and PyData Development Team
        All rights reserved.
        
        Copyright (c) 2008-2011 AQR Capital Management, LLC
        All rights reserved.
        
        Redistribution and use in source and binary forms, with or without
        modification, are permitted provided that the following conditions are
        met:
        
            * Redistributions of source code must retain the above copyright
               notice, this list of conditions and the following disclaimer.
        
            * Redistributions in binary form must reproduce the above
               copyright notice, this list of conditions and the following
               disclaimer in the documentation and/or other materials provided
               with the distribution.
        
            * Neither the name of the copyright holder nor the names of any
               contributors may be used to endorse or promote products derived
               from this software without specific prior written permission.
        
        THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDER AND CONTRIBUTORS
        "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
        LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
        A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
        OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
        SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
        LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
        DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
        THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
        (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
        OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
        
        About the Copyright Holders
        ===========================
        
        AQR Capital Management began pandas development in 2008. Development was
        led by Wes McKinney. AQR released the source under this license in 2009.
        Wes is now an employee of Lambda Foundry, and remains the pandas project
        lead.
        
        The PyData Development Team is the collection of developers of the PyData
        project. This includes all of the PyData sub-projects, including pandas. The
        core team that coordinates development on GitHub can be found here:
        http://github.com/pydata.
        
        Full credits for pandas contributors can be found in the documentation.
        
        Our Copyright Policy
        ====================
        
        PyData uses a shared copyright model. Each contributor maintains copyright
        over their contributions to PyData. However, it is important to note that
        these contributions are typically only changes to the repositories. Thus,
        the PyData source code, in its entirety, is not the copyright of any single
        person or institution. Instead, it is the collective copyright of the
        entire PyData Development Team. If individual contributors want to maintain
        a record of what changes/contributions they have specific copyright on,
        they should indicate their copyright in the commit message of the change
        when they commit the change to one of the PyData repositories.
        
        With this in mind, the following banner should be used in any source code
        file to indicate the copyright and license terms:
        
        #-----------------------------------------------------------------------------
        # Copyright (c) 2012, PyData Development Team
        # All rights reserved.
        #
        # Distributed under the terms of the BSD Simplified License.
        #
        # The full license is in the LICENSE file, distributed with this software.
        #-----------------------------------------------------------------------------
        
        Other licenses can be found in the LICENSES directory.
        
Project-URL: Homepage, https://pandas.pydata.org
Project-URL: Documentation, https://pandas-datareader.readthedocs.io/en/latest/
Project-URL: Repository, https://github.com/pydata/pandas-datareader.git
Project-URL: Bug Tracker, https://github.com/pydata/pandas-datareader/issues
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE.md
Requires-Dist: lxml
Requires-Dist: pandas>=1.5.3
Requires-Dist: requests>=2.19.0
Dynamic: license-file

# pandas-datareader

Up to date remote data access for pandas, works for multiple versions of
pandas.

[![image](https://img.shields.io/pypi/v/pandas-datareader.svg)](https://pypi.python.org/pypi/pandas-datareader/)
[![image](https://codecov.io/gh/pydata/pandas-datareader/branch/master/graph/badge.svg)](https://codecov.io/gh/pydata/pandas-datareader)
[![image](https://readthedocs.org/projects/pandas-datareader/badge/?version=latest)](https://pandas-datareader.readthedocs.io/en/latest/)
[![image](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![License](https://img.shields.io/pypi/l/pandas-datareader)](https://pypi.org/project/pandas-datareader/)

## Installation

Install using `pip`

``` shell
pip install pandas-datareader
```

## Usage

``` python
import pandas_datareader as pdr
pdr.get_data_fred('GS10')
```

## Documentation

[Stable documentation](https://pydata.github.io/pandas-datareader/) is available on
[github.io](https://pydata.github.io/pandas-datareader/). A second copy of the stable
documentation is hosted on [read the docs](https://pandas-datareader.readthedocs.io/)
for more details.

[Development documentation](https://pydata.github.io/pandas-datareader/devel/) is available
for the latest changes in master.

### Requirements

Using pandas datareader requires the following packages:

-   pandas>=1.0
-   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

``` 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 setup.py install
```
