Metadata-Version: 2.1
Name: pyesasky
Version: 1.4.3
Summary: ESASky Python wrapper
Home-page: https://github.com/esdc-esac-esa-int/pyesasky
Author: Fabrizio Giordano <fgiordano@sciops.esa.int>, Mattias Wångblad <mattias@winterway.eu>, ESDC 
License: GNU Lesser General Public License
Description: # pyESASky
        
        Welcome to the ESASky Jupyter widget page. 
        
        # Requirements
        
        `Jupyter` comes together with anaconda. 
        
        # Installation
        
        ```bash
        $ pip install pyesasky
        ```
        
        # pyesasky in Jupyter lab
        
        ```bash
        $ jupyter labextension install pyesasky
        ```
        In some cases you might also have to run these 2 commands to enable PyESASky in Jupyter
        
        ```bash
        $ jupyter nbextension install --py pyesasky --sys-prefix
        $ jupyter nbextension enable --py pyeasky --sys-prefix
        ```
        In order to be able to run pyesasky in Jupyter lab it is necessary to install the labextension ivywidgets by the following command:
        
        ```bash
        $ jupyter labextension install @jupyter-widgets/jupyterlab-manager
        ```
        
        NOTE that this requires `node.js` to be installed. 
        
        If you use conda, you can get it with:
        
        ```bash
        conda install -c conda-forge nodejs
        ```
        
        If you use Homebrew on Mac OS X:
        ```bash
        brew install node
        ```
        You can also download `Node.js` from the Node.js website https://nodejs.org/ and install it directly.
        
        
        # Running pyESASky samples:
        
        Multiple sample notebooks of the functionality in pyESASky can be found in https://github.com/esdc-esac-esa-int/pyesasky/tree/master/samples
        
        For the basic functionalities, open the pyESASky-Basic.ipynb. To check how to overlay a catalogue, run the pyESASky-Catalogue.ipynb. To overlay a set of footprints, open pyESASky-Footprints.ipynb .
        
        # Run pyesasky
        
        In general, it is possible to instantiate pyESASky by running the folowing code in your Jupyter Notebook.
        
        ```python
        from pyesasky import ESASkyWidget
        esasky = ESASkyWidget()
        esasky
        ```
        To be able to use catalogue features, the following additional classes must be imported:
        
        ```python
        from pyesasky import Catalogue
        from pyesasky import CatalogueDescriptor
        from pyesasky import MetadataDescriptor
        from pyesasky import MetadataType
        ```
        
        To be able to use footprints features, the following additional classes must be imported:
        
        ```python
        from pyesasky import FootprintSet
        from pyesasky import FootprintSetDescriptor
        from pyesasky import MetadataDescriptor
        from pyesasky import MetadataType
        ```
        
        # Source code installation
        
        For a development installation (requires npm),
        ```bash
        $ git clone https://github.com/esdc-esac-esa-int/pyesasky
        $ cd pyesasky
        $ sh install.sh
        ```
        
Keywords: ipython,jupyter,widgets
Platform: Linux
Platform: Mac OS X
Platform: Windows
Classifier: Development Status :: 5 - Production/Stable
Classifier: Framework :: IPython
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Multimedia :: Graphics
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Description-Content-Type: text/markdown
Provides-Extra: examples
Provides-Extra: docs
Provides-Extra: test
