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Copy file name to clipboardExpand all lines: articles/azure-maps/weather-service-tutorial.md
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description: Tutorial on how to join sensor data with weather forecast data from Microsoft Azure Maps Weather services using Azure Notebooks(Python).
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author: farazgis
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ms.author: fsiddiqui
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ms.date: 10/28/2021
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ms.date: 10/28/2024
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ms.topic: tutorial
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ms.service: azure-maps
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ms.subservice: weather
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> [!div class="checklist"]
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>
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> *Work with data files in [Azure Notebooks] in the cloud.
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> *Create and run a [Jupyter Notebook in VS Code].
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> * Load demo data from file.
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> * Call Azure Maps REST APIs in Python.
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> * Render location data on the map.
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> * Enrich the demo data with Azure Maps [Daily Forecast] weather data.
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> * Plot forecast data in graphs.
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> [!NOTE]
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> The Jupyter notebook file for this project can be downloaded from the [Weather Maps Jupyter Notebook repository].
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## Prerequisites
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If you don't have an Azure subscription, create a [free account] before you begin.
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* An [Azure Maps account]
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* A [subscription key]
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*[Visual Studio Code]
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* A working knowledge of [Jupyter Notebooks in VS Code]
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* Environment set up to work with Python in Jupyter Notebooks. For more information, see [Setting up your environment].
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> [!NOTE]
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> For more information on authentication in Azure Maps, see [manage authentication in Azure Maps].
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To get familiar with Azure notebooks and to know how to get started, follow the instructions [Create an Azure Notebook].
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## Install project level packages
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> [!NOTE]
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> The Jupyter notebook file for this project can be downloaded from the [Weather Maps Jupyter Notebook repository].
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The _EV Routing and Reachable Range_ project has dependencies on the [aiohttp] and [IPython] python libraries. You can install these in the Visual Studio terminal using pip:
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```python
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pip install aiohttp
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pip install ipython
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pip install pandas
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```
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## Open Jupyter Notebook in Visual Studio Code
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Download then open the Notebook used in this tutorial:
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1. Open the file [weatherDataMaps.ipynb] in the [AzureMapsJupyterSamples] repository in GitHub.
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1. Select the **Download raw file** button in the upper-right corner of the screen to save the file locally.
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1. Open the downloaded Notebook in Visual Studio Code by right-clicking on the file then selecting **Open with > Visual Studio Code**, or through the VS Code File Explorer.
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## Load the required modules and frameworks
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To load all the required modules and frameworks, run the following script:
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Once your code is added, you can run a cell using the **Run** icon to the left of the cell and the output is displayed below the code cell.
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```python
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Run the following script to load all the required modules and frameworks.
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```Python
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import aiohttp
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import pandas as pd
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import datetime
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from IPython.display import Image, display
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!pip install aiohttp
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import aiohttp
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```
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## Import weather data
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This tutorial uses weather data readings from sensors installed at four different wind turbines. The sample data consists of 30 days of weather readings. These readings are gathered from weather data centers near each turbine location. The demo data contains data readings for temperature, wind speed and, direction. You can download the demo data contained in [weather_dataset_demo.csv] from GitHub. The script below imports demo data to the Azure Notebook.
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For a complete list of Azure Maps REST APIs, see [Azure Maps REST APIs].
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## Clean up resources
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There are no resources that require cleanup.
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## Next steps
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To learn more about Azure Notebooks, see
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> [!div class="nextstepaction"]
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> [Azure Notebooks]
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> [Learn more about all the notebooks experiences from Microsoft and GitHub]: https://visualstudio.microsoft.com/vs/features/notebooks-at-microsoft/
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