https://github.com/sensetecnic/wotkit-example-python-pandas

An example python application demonstrating a python application using the pandas library for data analysis.
https://github.com/sensetecnic/wotkit-example-python-pandas

Last synced: 13 days ago
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An example python application demonstrating a python application using the pandas library for data analysis.

• Host: GitHub
• URL: https://github.com/sensetecnic/wotkit-example-python-pandas
• Owner: SenseTecnic
• Created: 2015-05-02T04:02:56.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2015-06-11T00:33:46.000Z (over 9 years ago)
• Last Synced: 2024-03-26T17:19:28.802Z (10 months ago)
• Language: HTML
• Size: 270 KB
• Stars: 4
• Watchers: 7
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
This application uses NumPy and Pandas to analyze and visualize data from the WoTKit. We also use OAuth2 to access private sensor data.

![alt](https://raw.githubusercontent.com/SenseTecnic/wotkit-example-python-pandas/master/screenshot-wotkit-example-python-pandas.png)

## Getting Started

Install Flask using ``pip``. Flask is a microframework for Python applications (http://flask.pocoo.org/).

```

pip install Flask

```

Install Flask OAuth, a Flask extension that uses ``oauthlib`` to interact with remote OAuth applications (https://github.com/lepture/flask-oauthlib)

```

pip install Flask-OAuthlib

```

We need to install the python development libraries. In Ubuntu, you can do:

```

sudo apt-get install python-dev libxml2-dev libxslt-dev

```

We can now install pandas using ``pip``

```

pip install pandas

```

## Running the Application

You can now start the application with:

```

python app.py

```

and visit http://127.0.0.1:5000