EMD-API - Wind Energy Index Service: Difference between revisions

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[[Category:EMD-API]]
[[Category:EMD-API]][[Image:wind-energy-in-dk.jpg|thumb|400px|right|Comissioning of On-Shore Wind Turbines in Denmark.]]
== Introduction ==
== Introduction ==
The wind-energy-index service is available as a global service - providing reliable wind-index information for any part of the world.
The wind-energy-index service is available as a global service - providing reliable wind-index information for any part of the world.


== Python - Installation ==  
== Python - Installation ==  
[[Image:EgmondAanZee.jpg|thumb|400px|right|Data nodes near the Egmond Aan Zee Offhore ]]The simplest way to use the EMDAPI with python is to install the client software in a virtual environment. If you are using CONDA or [https://docs.conda.io/en/latest/miniconda.html MINICONDA], we recommend that you create a new virtual environment and use a recent 3.x version of python. When the virtual environment is created, then activate the environment.
The simplest way to use the EMDAPI with python is to install the client software in a virtual environment. If you are using CONDA or [https://docs.conda.io/en/latest/miniconda.html MINICONDA], we recommend that you create a new virtual environment and use a recent 3.x version of python. When the virtual environment is created, then activate the environment.


''Open your Anaconda Prompt. Copy-paste the following lines:''
''Open your Anaconda Prompt. Copy-paste the following lines:''

Revision as of 17:35, 7 December 2020

File:Wind-energy-in-dk.jpg
Comissioning of On-Shore Wind Turbines in Denmark.

Introduction

The wind-energy-index service is available as a global service - providing reliable wind-index information for any part of the world.

Python - Installation

The simplest way to use the EMDAPI with python is to install the client software in a virtual environment. If you are using CONDA or MINICONDA, we recommend that you create a new virtual environment and use a recent 3.x version of python. When the virtual environment is created, then activate the environment.

Open your Anaconda Prompt. Copy-paste the following lines:

conda create -n emdapiwindindex python=3.8.5
conda activate emdapiwindindex

Install the required packages needed in order to do data-science and use the examples provided within the jupyter notebooks. We have have validated this setup using specific package versions (used in the commands below).

In the Anaconda Prompt, copy-paste the following lines, one by one:

conda install -c conda-forge pandas=1.1.0 numpy=1.19.1
conda install -c conda-forge jupyter=1.0.0 ipykernel=5.3.4 

Download the zip-file holding the OpenAPI python client.
Unpack the file and install it within your virtual environment:

In the Anaconda Prompt: Move to the folder, where you have unpacked the zipped file. Copy-paste the following line:

python setup.py install

Make sure that the new emdapi virtual enviroment (python-kernel) is available to be used with jupyter-notebook environment:

python -m ipykernel install --user --name=emdapiwindindex