Metadata-Version: 2.1
Name: imdlib
Version: 0.1.11
Summary: A tool for handling and downloading IMD gridded data
Home-page: https://github.com/iamsaswata/
Author: Saswata Nandi
Author-email: iamsaswata@yahoo.com
License: MIT
Keywords: imd,India,rainfall,data,hydrology,IMD,grid,grided,gridded
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Hydrology
Requires-Python: >=3.0
Description-Content-Type: text/markdown
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: six
Requires-Dist: python-dateutil
Requires-Dist: pytz
Requires-Dist: urllib3
Requires-Dist: scipy
Requires-Dist: xarray
Requires-Dist: requests

# imdlib

[![Build Status](https://travis-ci.org/iamsaswata/imdlib.svg?branch=master)](https://travis-ci.org/iamsaswata/imdlib)
![GitHub](https://img.shields.io/github/license/iamsaswata/imdlib)
![PyPI](https://img.shields.io/pypi/v/imdlib)
![Conda](https://img.shields.io/conda/v/iamsaswata/imdlib)
![GitHub tag (latest by date)](https://img.shields.io/github/v/tag/iamsaswata/imdlib)  
[![Downloads](https://pepy.tech/badge/imdlib)](https://pepy.tech/project/imdlib)


This is a python package to download and handle binary grided data from Indian Meterological department (IMD).

## Installation

> pip install imdlib

 or

> conda install -c iamsaswata imdlib

or 

> pip install git+https://github.com/iamsaswata/imdlib.git


## Documentation

[Tutorial](https://saswatanandi.github.io/softwares/imdlib)
[Tutorial](https://pratiman-91.github.io/blog.html)

## License

imdlib is available under the open source [MIT](https://opensource.org/licenses/MIT).

## Citation

If you are using imdlib and would like to cite it in academic publication, we would certainly appreciate it. We recommend to use the zenodo DOI for this purpose:


[![DOI](https://zenodo.org/badge/235463327.svg)](https://zenodo.org/badge/latestdoi/235463327)


