| Name | viresclient JSON |
| Version |
0.11.6
JSON |
| download |
| home_page | None |
| Summary | A Python client for interacting with a VirES server |
| upload_time | 2024-01-20 20:27:03 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.6 |
| license | None |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
.. image:: https://img.shields.io/pypi/v/viresclient
:target: https://pypi.org/project/viresclient/
:alt: PyPI
.. image:: https://img.shields.io/conda/vn/conda-forge/viresclient
:target: https://anaconda.org/conda-forge/viresclient
:alt: Conda
.. image:: https://readthedocs.org/projects/viresclient/badge/?version=latest
:target: http://viresclient.readthedocs.io/
:alt: Documentation Status
.. image:: https://zenodo.org/badge/138034133.svg
:target: https://zenodo.org/badge/latestdoi/138034133
::
pip install viresclient
::
conda install -c conda-forge viresclient
viresclient_ is a Python package which connects to a VirES server, of which there are two: *VirES for Swarm* (https://vires.services) and *VirES for Aeolus* (https://aeolus.services), through the WPS_ interface. This package handles product requests and downloads, enabling easy access to data and models from ESA's Earth Explorer missions, Swarm_ and Aeolus_. This service is provided for ESA by EOX_. For enquiries about the service and problems with accessing your account, please email info@vires.services. For help with usage, please email ashley.smith@ed.ac.uk (for Swarm data) or `raise an issue on GitHub`_.
.. _viresclient: https://github.com/ESA-VirES/VirES-Python-Client
.. _WPS: http://www.opengeospatial.org/standards/wps
.. _Swarm: https://earth.esa.int/eogateway/missions/swarm
.. _Aeolus: https://earth.esa.int/eogateway/missions/aeolus
.. _EOX: https://eox.at/category/vires/
.. _`raise an issue on GitHub`: https://github.com/ESA-VirES/VirES-Python-Client/issues
For code recipes and more, see `Swarm Notebooks`_ & `Aeolus Notebooks`_. To start experimenting right away, *viresclient* is installed on the "Virtual Research Environment" (VRE), which is a managed Jupyter-based system provided for ESA by EOX. The service is free and open to all, accessible through your VirES account - check the notebooks to read more and get started.
.. _`Swarm Notebooks`: https://notebooks.vires.services
.. _`Aeolus Notebooks`: https://notebooks.aeolus.services
Data and models are processed on demand on the VirES server - a combination of measurements from any time interval can be accessed. These are the same data that can be accessed by the VirES GUI. *viresclient* handles the returned data to allow direct loading as a single pandas.DataFrame_, or xarray.Dataset_.
.. _pandas.DataFrame: https://pandas.pydata.org/pandas-docs/stable/dsintro.html#dataframe
.. _xarray.Dataset: http://xarray.pydata.org/en/stable/data-structures.html#dataset
.. code-block:: python
from viresclient import SwarmRequest
# Set up connection with server
request = SwarmRequest()
# Set collection to use
# - See https://viresclient.readthedocs.io/en/latest/available_parameters.html
request.set_collection("SW_OPER_MAGA_LR_1B")
# Set mix of products to fetch:
# measurements (variables from the given collection)
# models (magnetic model predictions at spacecraft sampling points)
# auxiliaries (variables available with any collection)
# Optionally set a sampling rate different from the original data
request.set_products(
measurements=["F", "B_NEC"],
models=["CHAOS-Core"],
auxiliaries=["QDLat", "QDLon"],
sampling_step="PT10S"
)
# Fetch data from a given time interval
# - Specify times as ISO-8601 strings or Python datetime
data = request.get_between(
start_time="2014-01-01T00:00",
end_time="2014-01-01T01:00"
)
# Load the data as an xarray.Dataset
ds = data.as_xarray()
::
<xarray.Dataset>
Dimensions: (NEC: 3, Timestamp: 360)
Coordinates:
* Timestamp (Timestamp) datetime64[ns] 2014-01-01 ... 2014-01-01T00:59:50
Dimensions without coordinates: NEC
Data variables:
Spacecraft (Timestamp) <U1 'A' 'A' 'A' 'A' 'A' ... 'A' 'A' 'A' 'A'
Latitude (Timestamp) float64 -1.229 -1.863 -2.496 ... 48.14 48.77
Longitude (Timestamp) float64 -14.12 -14.13 -14.15 ... 153.6 153.6
Radius (Timestamp) float64 6.878e+06 6.878e+06 ... 6.868e+06
F (Timestamp) float64 2.287e+04 2.281e+04 ... 4.021e+04
F_CHAOS-Core (Timestamp) float64 2.287e+04 2.282e+04 ... 4.02e+04
B_NEC (Timestamp, NEC) float64 2.01e+04 -4.126e+03 ... 3.558e+04
B_NEC_CHAOS-Core (Timestamp, NEC) float64 2.011e+04 ... 3.557e+04
QDLat (Timestamp) float64 -11.99 -12.6 -13.2 ... 41.59 42.25
QDLon (Timestamp) float64 58.02 57.86 57.71 ... -135.9 -136.0
Attributes:
Sources: ['SW_OPER_MAGA_LR_1B_20140101T000000_20140101T235959_050...
MagneticModels: ["CHAOS-Core = 'CHAOS-Core'(max_degree=20,min_degree=1)"]
RangeFilters: []
.. image:: https://github.com/ESA-VirES/Swarm-VRE/raw/master/docs/images/VRE_shortest_demo.gif
How to acknowledge VirES
------------------------
You can reference *viresclient* directly using the DOI of our zenodo_ record. VirES uses data from a number of different sources so please also acknowledge these appropriately.
.. _zenodo: https://doi.org/10.5281/zenodo.2554162
| "We use the Python package, viresclient [1], to access [...] from ESA's VirES for Swarm service [2]"
| [1] https://doi.org/10.5281/zenodo.2554162
| [2] https://vires.services
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This service is provided for ESA by EOX_. For enquiries about the service and problems with accessing your account, please email info@vires.services. For help with usage, please email ashley.smith@ed.ac.uk (for Swarm data) or `raise an issue on GitHub`_.\n\n.. _viresclient: https://github.com/ESA-VirES/VirES-Python-Client\n.. _WPS: http://www.opengeospatial.org/standards/wps\n.. _Swarm: https://earth.esa.int/eogateway/missions/swarm\n.. _Aeolus: https://earth.esa.int/eogateway/missions/aeolus\n.. _EOX: https://eox.at/category/vires/\n.. _`raise an issue on GitHub`: https://github.com/ESA-VirES/VirES-Python-Client/issues\n\nFor code recipes and more, see `Swarm Notebooks`_ & `Aeolus Notebooks`_. To start experimenting right away, *viresclient* is installed on the \"Virtual Research Environment\" (VRE), which is a managed Jupyter-based system provided for ESA by EOX. The service is free and open to all, accessible through your VirES account - check the notebooks to read more and get started.\n\n.. _`Swarm Notebooks`: https://notebooks.vires.services\n.. _`Aeolus Notebooks`: https://notebooks.aeolus.services\n\nData and models are processed on demand on the VirES server - a combination of measurements from any time interval can be accessed. These are the same data that can be accessed by the VirES GUI. *viresclient* handles the returned data to allow direct loading as a single pandas.DataFrame_, or xarray.Dataset_.\n\n.. _pandas.DataFrame: https://pandas.pydata.org/pandas-docs/stable/dsintro.html#dataframe\n.. _xarray.Dataset: http://xarray.pydata.org/en/stable/data-structures.html#dataset\n\n.. code-block:: python\n\n from viresclient import SwarmRequest\n\n # Set up connection with server\n request = SwarmRequest()\n # Set collection to use\n # - See https://viresclient.readthedocs.io/en/latest/available_parameters.html\n request.set_collection(\"SW_OPER_MAGA_LR_1B\")\n # Set mix of products to fetch:\n # measurements (variables from the given collection)\n # models (magnetic model predictions at spacecraft sampling points)\n # auxiliaries (variables available with any collection)\n # Optionally set a sampling rate different from the original data\n request.set_products(\n measurements=[\"F\", \"B_NEC\"],\n models=[\"CHAOS-Core\"],\n auxiliaries=[\"QDLat\", \"QDLon\"],\n sampling_step=\"PT10S\"\n )\n # Fetch data from a given time interval\n # - Specify times as ISO-8601 strings or Python datetime\n data = request.get_between(\n start_time=\"2014-01-01T00:00\",\n end_time=\"2014-01-01T01:00\"\n )\n # Load the data as an xarray.Dataset\n ds = data.as_xarray()\n\n::\n\n <xarray.Dataset>\n Dimensions: (NEC: 3, Timestamp: 360)\n Coordinates:\n * Timestamp (Timestamp) datetime64[ns] 2014-01-01 ... 2014-01-01T00:59:50\n Dimensions without coordinates: NEC\n Data variables:\n Spacecraft (Timestamp) <U1 'A' 'A' 'A' 'A' 'A' ... 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