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开源软件名称:esdc-esac-esa-int/pyesasky开源软件地址:https://github.com/esdc-esac-esa-int/pyesasky开源编程语言:JavaScript 95.8%开源软件介绍:pyESASkyWelcome to the ESASky Jupyter widget page. Requirements
Installation$ pip install pyesasky pyesasky in Jupyter lab$ 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 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 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 pyesaskyIn 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 Source code installationFor a development installation (requires npm), $ git clone https://github.com/esdc-esac-esa-int/pyesasky
$ cd pyesasky
$ sh install.sh |
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