Arduino + Plotly = ♥

Live streaming data from my Arduino to Plotly.

Hey team -
Here's the live data stream of the experiment that I'm running tonight.

June 24 Experiments

Hey team -
I'm running this next set of experiments until the DO levels drop below 0.5. Here's the live data stream of the experiment.

2D Histograms

Histograms visualize the statistical distribution of data sets. In this example we will generate some random sets of data and view 1 and 2D histograms.

First, generate some random data.

from numpy import *
 
# generate some random sets of data
y0 = random.randn(100)/5. + 0.5 
x0 = random.randn(100)/5. + 0.5 
 
y1 = random.rayleigh(size=20)/7. + 0.1
x1 = random.rayleigh(size=20)/8. + 1.1
 
y2 = random.randn(50)/10. + 0.9
x2 = random.rayleigh(size=50)/10. + 0.1
 
y3 = random.randn(50)/8. + 0.1
x3 = random.randn(50)/8. + 0.1
 
y = concatenate([y0,y1,y2,y3])
x = concatenate([x0,x1,x2,x3])

The distribution of one variable looks like:
And the distribution of the other variable looks like: We can view the distribution of both variables with a 2D histogram. The color corresponds to the number of points in a cell. Here, cells with lighter colors have more points.


These plots were made with Plotly (https://plot.ly) inside their Python sandbox.
They are interactive: click-drag to zoom, double-click to autoscale, shift-click to pan.

The following code generated these plots

from numpy import *
## place the data into Plotly's dict format

# histograms
histx = {'x': x, 'type':'histogramx'}
histy = {'y': y, 'type':'histogramy'}
hist2d = {'x': x, 'y': y, 'type':'histogram2d'}

# scatter plots above the 1D histograms
# "jitter" the scatter plot points to make their distribution easier to distinguish
jitterx = {'x': x, 'y': 60+3*random.rand((len(x))), 'type':'scatter','mode':'markers','marker':{'size':4,'opacity':0.5,'symbol':'square'}}

jittery = {'x': y, 'y': 35+3*random.rand((len(x))), 'type':'scatter','mode':'markers','marker':{'size':4,'opacity':0.5,'symbol':'square'}}

# scatter points in the 2D histogram
xy = {'x': x, 'y': y, 'type':'scatter','mode':'markers','marker':{'size':5,'opacity':0.5,'symbol':'square'}}

plot([histx, jitterx], layout={'title': 'Distribution of Variable 1'})
plot([histy, jittery], layout={'title': 'Distribution of Variable 2'})
plot([hist2d,xy], layout={'title': 'Distribution of Variable 1 and Variable 2'})