Plotly via Python API

Spent some time working with the Plotly Python API. ¬†Able to read my data logger files and upload to a plot with ease. Will need to comment code better I know…just started playing with it and wanted to share. Upload all environmental data and if the additional “Annotation” field exist add that to the plot as well.

More Info at: Plotly Python API

import plotly.plotly as py
from plotly.graph_objs import *
 
myname = 'plotlyid'
mykey = "plotlykey"
 
py.sign_in(myname,mykey)
 
x1 =[]
y1 =[]
y2 =[]
y3 =[]
MyAnnotation = []
 
f = open("LOGGER26.CSV",'r')
#f = open("smallset.csv",'r')
 
for lines in f:
	data = lines.split(',')
	x1.append(data[0])
	y1.append(data[1])
	y2.append(data[2])
	y3.append(data[3].strip())
 
	if len(data)==5:
		print data[4]
		Annotation = {'x':data[0],'y':data[1],'text':data[4] + data[0],'xref':'x','yref':'y','showarrow':True,'arrowhead':7,'bgcolor':'red'}
		MyAnnotation.append(Annotation)
 
# (2) Make dictionary linking x and y coordinate lists to 'x' and 'y' keys
#     (mandatory in plotly v.1.0.8 and up)
layout = Layout(
	title="MyEnvi",
 
	annotations=MyAnnotation,
 
    legend=Legend(
        x=100,
        y=1
    ),
    xaxis=XAxis(
    	domain=[0, 0.8],
        autorange=True,
        showgrid=False,
        zeroline=False,
        showline=True,
        autotick=True,
        ticks='',
        showticklabels=True
    ),
    yaxis=YAxis(
    	title="Light",
    	autorange=True,
        showgrid=False,
        zeroline=False,
        showline=True,
        autotick=True,
        ticks='',
        showticklabels=True
    ),
 
    yaxis2=YAxis(
        title='Barometric',
        showgrid=False,
        titlefont=Font(
            color='#ff7f0e'
        ),
        tickfont=Font(
            color='#ff7f0e'
        ),
        anchor='x',
        overlaying='y',
        side='right'
 
    ),
 
 	yaxis3=YAxis(
 		showgrid=False,
        title='Temp',
        titlefont=Font(
            color='#087804'
        ),
        tickfont=Font(
            color='#087804'
        ),
        anchor='free',
        overlaying='y',
        side='right',
        position = .9
    ),
 
)
trace1 = dict(x=x1,y=y1, name='Light')
trace2 = dict(x=x1,y=y2, name= 'Barometric',yaxis='y2')
trace3 = dict(x=x1,y=y3, name='Temp',yaxis='y3')
# (3) Make list of 1 trace, to be sent to Plotly
#     (mandatory in 1.0.8 and up)
data = [trace1,trace2,trace3]
 
fig = Figure(data=data,layout=layout)
 
plot_url = py.plot(fig, filename='MyEnvi')
f.close()

Short data file snippet:

2014-6-10 19:19:48,508,996.00,24.94
2014-6-10 19:19:49,508,995.95,24.94
2014-6-10 19:19:50,508,995.99,24.94
2014-6-10 19:19:51,508,995.95,24.92
2014-6-10 19:19:53,507,995.93,24.92,Migraine Severe
2014-6-10 19:19:54,507,995.99,24.94
2014-6-10 19:19:55,507,995.96,24.94
2014-6-10 19:19:56,507,996.00,24.92
2014-6-10 19:19:57,507,995.98,24.94
2014-6-10 19:19:58,507,995.97,24.92
2014-6-10 19:19:59,507,995.92,24.92
2014-6-10 19:20:0,507,995.92,24.92

Next steps: Create a way to add the annotation to the data file on the Arduino.

Using Plot.ly with Adafruit Data Logging Shield

I have played with a few IOT type services for showing off data collected and or sent from Arduino (and other micro controller devices) and have settled on Plot.ly for now.

I have used ThingSpeak and Xively as well but found Plotly worked better for importing from the data logger disk than the others. Xively appear to be more “live update” oriented and not as well geared for file upload of large data sets.

 

Plot.ly Graph from Arduino Barometric and Light Project