A Python package for paleoclimate data analysis
Project description
|PyPI| |PyPI| |PyPI| |license|
Pyleoclim
=========
**Python Package for the Analysis of Paleoclimate Data**
**Table of contents**
- `What is it? <#what>`__
- `Installation <#install>`__
- `Quickstart Guide <#quickstart>`__
- `Requirements <#req>`__
- `Further information <#further_info>`__
- `Contact <#contact>`__
- `License <#license>`__
- `Disclaimer <#disclaimer>`__
Current Version: 0.1.0
What is it?
-----------
Pyleoclim is a Python package for the analyses of paleoclimate data.
Installation
--------------
Python v3.5+ is required.
Pyleoclim is published through PyPi and easily installed via ``pip``
::
pip install pyleoclim
Quickstart guide
------------------
1. Open your command line application (Terminal or Command Prompt).
2. Install with command: ``pip install pyleoclim``
3. Wait for installation to complete, then:
3a. Import the package into your favorite Python environment (we
recommend the use of Spyder, which comes standard with the Anaconda
package)
3b. Use Jupyter Notebook to go through the tutorial contained in the
``PyleoclimQuickstart.ipynb`` Notebook, which can be downloaded
`here <https://github.com/LinkedEarth/Pyleoclim_util/tree/master/Example>`__.
4. Help with functionalities can be found in the Documentation folder on
our `GitHub
repository <https://github.com/LinkedEarth/Pyleoclim_util>`__ and on
Pypi.
Requirements
------------
- LiPD v0.1.8+
- pandas v0.19+
- numpy v1.12+
- matplotlib v2.0+
- Cartopy v0.13+
The installer will automatically check for the needed updates
***except*** for Cartopy.
Cartopy doesn't install properly through pip. Use Conda. See the
instructions on the developer website.
Further information
-------------------
GitHub: https://github.com/LinkedEarth/Pyleoclim\_util
LinkedEarth: http://linked.earth
Python and Anaconda: http://conda.pydata.org/docs/test-drive.html
Jupyter Notebook: http://jupyter.org
Contact
---------
Please report issues to linkedearth@gmail.com
License
---------
The project is licensed under the GNU Public License. Please refer to
the file call license.
Disclaimer
------------
This material is based upon work supported by the National Science
Foundation under Grant Number ICER-1541029. Any opinions, findings, and
conclusions or recommendations expressed in this material are those of
the investigators and do not necessarily reflect the views of the
National Science Foundation.
.. |PyPI| image:: https://img.shields.io/pypi/dm/Pyleoclim.svg?maxAge=2592000
:target: https://pypi.python.org/pypi/Pyleoclim
.. |PyPI| image:: https://img.shields.io/pypi/v/Pyleoclim.svg?maxAge=2592000
:target:
.. |PyPI| image:: https://img.shields.io/badge/python-3.5-yellow.svg
:target:
.. |license| image:: https://img.shields.io/github/license/linkedearth/Pyleoclim_util.svg?maxAge=2592000
:target:
Pyleoclim
=========
**Python Package for the Analysis of Paleoclimate Data**
**Table of contents**
- `What is it? <#what>`__
- `Installation <#install>`__
- `Quickstart Guide <#quickstart>`__
- `Requirements <#req>`__
- `Further information <#further_info>`__
- `Contact <#contact>`__
- `License <#license>`__
- `Disclaimer <#disclaimer>`__
Current Version: 0.1.0
What is it?
-----------
Pyleoclim is a Python package for the analyses of paleoclimate data.
Installation
--------------
Python v3.5+ is required.
Pyleoclim is published through PyPi and easily installed via ``pip``
::
pip install pyleoclim
Quickstart guide
------------------
1. Open your command line application (Terminal or Command Prompt).
2. Install with command: ``pip install pyleoclim``
3. Wait for installation to complete, then:
3a. Import the package into your favorite Python environment (we
recommend the use of Spyder, which comes standard with the Anaconda
package)
3b. Use Jupyter Notebook to go through the tutorial contained in the
``PyleoclimQuickstart.ipynb`` Notebook, which can be downloaded
`here <https://github.com/LinkedEarth/Pyleoclim_util/tree/master/Example>`__.
4. Help with functionalities can be found in the Documentation folder on
our `GitHub
repository <https://github.com/LinkedEarth/Pyleoclim_util>`__ and on
Pypi.
Requirements
------------
- LiPD v0.1.8+
- pandas v0.19+
- numpy v1.12+
- matplotlib v2.0+
- Cartopy v0.13+
The installer will automatically check for the needed updates
***except*** for Cartopy.
Cartopy doesn't install properly through pip. Use Conda. See the
instructions on the developer website.
Further information
-------------------
GitHub: https://github.com/LinkedEarth/Pyleoclim\_util
LinkedEarth: http://linked.earth
Python and Anaconda: http://conda.pydata.org/docs/test-drive.html
Jupyter Notebook: http://jupyter.org
Contact
---------
Please report issues to linkedearth@gmail.com
License
---------
The project is licensed under the GNU Public License. Please refer to
the file call license.
Disclaimer
------------
This material is based upon work supported by the National Science
Foundation under Grant Number ICER-1541029. Any opinions, findings, and
conclusions or recommendations expressed in this material are those of
the investigators and do not necessarily reflect the views of the
National Science Foundation.
.. |PyPI| image:: https://img.shields.io/pypi/dm/Pyleoclim.svg?maxAge=2592000
:target: https://pypi.python.org/pypi/Pyleoclim
.. |PyPI| image:: https://img.shields.io/pypi/v/Pyleoclim.svg?maxAge=2592000
:target:
.. |PyPI| image:: https://img.shields.io/badge/python-3.5-yellow.svg
:target:
.. |license| image:: https://img.shields.io/github/license/linkedearth/Pyleoclim_util.svg?maxAge=2592000
:target:
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