pyesasky


Namepyesasky JSON
Version 1.9.4 PyPI version JSON
download
home_pagehttps://github.com/esdc-esac-esa-int/pyesasky.git
SummaryESASky Python wrapper
upload_time2023-01-11 14:40:49
maintainer
docs_urlNone
authorMattias Wångblad / Fabrizio Giordano from ESDC (ESA/ESAC)
requires_python>=3.6
licenseBSD-3-Clause
keywords jupyter jupyterlab jupyterlab3
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # 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
```

            

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    "description": "# pyESASky\r\n\r\nWelcome to the ESASky Jupyter widget page. \r\n\r\n# Requirements\r\n\r\n`Jupyter` comes together with anaconda. \r\n\r\n# Installation\r\n\r\n```bash\r\n$ pip install pyesasky\r\n```\r\n\r\n# pyesasky in Jupyter lab\r\n\r\n```bash\r\n$ jupyter labextension install pyesasky\r\n```\r\nIn some cases you might also have to run these 2 commands to enable PyESASky in Jupyter\r\n\r\n```bash\r\n$ jupyter nbextension install --py pyesasky --sys-prefix\r\n$ jupyter nbextension enable --py pyeasky --sys-prefix\r\n```\r\nIn order to be able to run pyesasky in Jupyter lab it is necessary to install the labextension ivywidgets by the following command:\r\n\r\n```bash\r\n$ jupyter labextension install @jupyter-widgets/jupyterlab-manager\r\n```\r\n\r\nNOTE that this requires `node.js` to be installed. \r\n\r\nIf you use conda, you can get it with:\r\n\r\n```bash\r\nconda install -c conda-forge nodejs\r\n```\r\n\r\nIf you use Homebrew on Mac OS X:\r\n```bash\r\nbrew install node\r\n```\r\nYou can also download `Node.js` from the Node.js website https://nodejs.org/ and install it directly.\r\n\r\n\r\n# Running pyESASky samples:\r\n\r\nMultiple sample notebooks of the functionality in pyESASky can be found in https://github.com/esdc-esac-esa-int/pyesasky/tree/master/samples\r\n\r\nFor 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 .\r\n\r\n# Run pyesasky\r\n\r\nIn general, it is possible to instantiate pyESASky by running the folowing code in your Jupyter Notebook.\r\n\r\n```python\r\nfrom pyesasky import ESASkyWidget\r\nesasky = ESASkyWidget()\r\nesasky\r\n```\r\nTo be able to use catalogue features, the following additional classes must be imported:\r\n\r\n```python\r\nfrom pyesasky import Catalogue\r\nfrom pyesasky import CatalogueDescriptor\r\nfrom pyesasky import MetadataDescriptor\r\nfrom pyesasky import MetadataType\r\n```\r\n\r\nTo be able to use footprints features, the following additional classes must be imported:\r\n\r\n```python\r\nfrom pyesasky import FootprintSet\r\nfrom pyesasky import FootprintSetDescriptor\r\nfrom pyesasky import MetadataDescriptor\r\nfrom pyesasky import MetadataType\r\n```\r\n\r\n# Source code installation\r\n\r\nFor a development installation (requires npm),\r\n```bash\r\n$ git clone https://github.com/esdc-esac-esa-int/pyesasky\r\n$ cd pyesasky\r\n$ sh install.sh\r\n```\r\n",
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