Welcome to the ESASky Jupyter widget page.
Jupyter
comes together with anaconda.
$ pip install pyesasky
$ jupyter labextension install pyesasky
In some cases you might also have to run these 2 commands to enable PyESASky in Jupyter
$ 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:
$ 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:
conda install -c conda-forge nodejs
If you use Homebrew on Mac OS X:
brew install node
You can also download Node.js
from the Node.js website https://nodejs.org/ and install it directly.
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 .
In general, it is possible to instantiate pyESASky by running the folowing code in your Jupyter Notebook.
from pyesasky import ESASkyWidget
esasky = ESASkyWidget()
esasky
To be able to use catalogue features, the following additional classes must be imported:
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:
from pyesasky import FootprintSet
from pyesasky import FootprintSetDescriptor
from pyesasky import MetadataDescriptor
from pyesasky import MetadataType
For a development installation (requires npm),
$ git clone https://github.com/esdc-esac-esa-int/pyesasky
$ cd pyesasky
$ sh install.sh