Raspberry Pi Realtime Streaming with Plot.ly

https://plot.ly/~demos/1441/

First, install the required modules and dependencies:

sudo apt-get install python-dev
wget https://bitbucket.org/pypa/setuptools/raw/bootstrap/ez_setup.py -O - | sudo python
sudo easy_install -U distribute
sudo apt-get install python-pip
sudo pip install rpi.gpio
sudo pip install plotly

Create a config.json file in this directory and input your plotly API key, and your generated plotly streaming tokens Sign up to plotly here: https://plot.ly/ssu View your API key and streaming tokens here: https://plot.ly/settings

Example config.json:

{
"plotly_streaming_tokens": ["your", "stream", "tokens"],
"plotly_api_key": "your_api_key",
"plotly_username": "your_user_name"
}

Create your sensor reading script, and start importing some modules in it!

import plotly # plotly library
import json # used to parse config.json
import time # timer functions
import readadc # helper functions to read ADC from the Raspberry Pi

Initialize some variables with your creditials

with open('./config.json') as config_file:
    plotly_user_config = json.load(config_file)

username = plotly_user_config['plotly_username']
api_key = plotly_user_config['plotly_api_key']
stream_token = plotly_user_config['plotly_streaming_tokens'][0]
stream_server = 'http://stream.plot.ly'

Initialize a Plotly Object

p = plotly.plotly(username, api_key)

Initialize your graph (not streaming yet)

p.plot([
	{'x': [],
	'y': [],
	'type': 'scatter',
	'stream': {
		'token': stream_token,
		'maxpoints': 1000
		}
	}],
	filename='Stream Example8888',
	fileopt='overwrite')

Specify the connected channel for your sensor

sensor_pin = 0

Initialize the GPIO

readadc.initialize()

Initialize the Plotly Streaming Object

stream = plotly.stream(stream_token)
i = 0

Start looping and streamin'!

while True:
	sensor_data = readadc.readadc(sensor_pin, readadc.PINS.SPICLK, readadc.PINS.SPIMOSI, readadc.PINS.SPIMISO, readadc.PINS.SPICS)
	s.write({'x': i, 'y': sensor_data })
	i+=1 # increment 1 on the 'x' axis with each reading
	time.sleep(1) # delay between stream posts