Metadata-Version: 2.0
Name: snowpyt
Version: 0.0.2
Summary: A Python project to visualize snowpit
Home-page: https://github.com/ArcticSnow/snowpyt.git
Author: Simon Filhol
Author-email: simon.filhol@geo.uio.no
License: MIT
Keywords: Plotting,snow,glaciology,science
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: openpyxl
Requires-Dist: pandas

# Snowpyt: an open-source library to visualize snowpits in Python
Simon Filhol, November 2016, copyright under the MIT license terms, see the License.txt file

LAST MODIFIED: June 2017 (or see date on github file history)

Feel free to contribute to the project!!!! Many new features can be added...

WARNING: will not compile. create new branch for development!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

## To do:

### High Priority

- write function to save and load pit to and from pickle format (currently not working)
- reorganize package example, standard excel and csv snowpit file
- make ground appear to comfirm the user that the pit reached ground. add note about ground type.

### Low priority 
- specify the figure size and adjust font size in respect
- render the medatadata text better
- put option to adjust figure size to desired size and dpi
- add option to save pits in Pickle format or CSV
- add option to save figure in matplotlib format



## Objective
The objective of this library is to provide visualization tool for snowpit data. 
Started for the need of the Svalbard Snow Research group, this package should evolve
 to include more snowpit type and visualization scheme. 

The snow grain classification follows the guidelines provided by the UNESCO 
[International Classification for Seasonal Snow on the Ground](http://unesdoc.unesco.org/images/0018/001864/186462e.pdf) 
(Fierz et al., 2009)

Fierz, C., Amstrong, R.L., Durand, Y., Etchevers, P., Greene, E., McClung, D.M., Nishimura, K., Satyawali, P.K. and Sokratov, S.A. 2009.The International Classification for Seasonal Snow on the Ground. IHP-VII Technical Documents in 
Hydrology N°83, IACS Contribution N°1, UNESCO-IHP, Paris. 

## Installation

### Last version from the Pypi repository

Simply run the following in your terminal:
```bash
pip install snowpyt
```
### Last development version for contributing to the project:

Clone the github repository to a local directory using the following command in your terminal

```bash
git clone https://github.com/ArcticSnow/snowpyt.git
```
or by downloading the package

The branch 'master' consists of the latest stable version. Other develepment versions are included in other git branches.

The package contains all the functions to plot the snowpit if library requirements are met. It also contains data samples to test the library.

### requirements

Python 2.7.9 with the following libraries:
- [numpy](http://www.numpy.org/)
- [matplotlib](http://matplotlib.org/)
- [pandas](http://pandas.pydata.org/)

## Use

1. Snowpit must be formated following the template file "Standard_pit.xlsx"
2. Export the snowpit to a csv file using tab as delimiter
3. Individual snowpits have to be loaded into python class object from which the user can easily access information. See the file Example.py for an example of a basic use.

## Want to contribute?
Once you have cloned the project to your home directory, create a git branch and here you go. When your edits are stable, merge with the master branch. See this neat tutorial about git branching and merging, [here](https://git-scm.com/book/en/v2/Git-Branching-Basic-Branching-and-Merging)

### List of Contributor
- Simon Filhol
- [add your name]

## Example
![Example snowpit](snowpyt/Standard_pit.png)









