Python3 Plots

You can access Beaker's native interactive plotting library from Python.

Plot with simple properties

Python3 plots has syntax very similar to Groovy plots. Property names are the same.



In [3]:

    
from beaker import *

Plot(title="Title",
     xLabel="Horizontal",
     yLabel="Vertical",
     initWidth=500,
     initHeight=200)

Plot items

Lines, Bars, Points and Right yAxis



In [4]:

    
x = [1, 4, 6, 8, 10]
y = [3, 6, 4, 5, 9]

pp = Plot(title='Bars, Lines, Points and 2nd yAxis', 
          xLabel="xLabel", 
          yLabel="yLabel", 
          legendLayout=LegendLayout.HORIZONTAL,
          legendPosition=LegendPosition(position=LegendPosition.Position.RIGHT),
          omitCheckboxes=True)

pp.add(YAxis(label="Right yAxis"))
pp.add(Bars(displayName="Bar", 
       x=[1,3,5,7,10], 
       y=[100, 120,90,100,80], 
       width=1))
pp.add(Line(displayName="Line", 
            x=x, 
            y=y, 
            width=6, 
            yAxis="Right yAxis"))
pp.add(Points(x=x, 
              y=y, 
              size=10, 
              shape=ShapeType.DIAMOND,
              yAxis="Right yAxis"))









    



---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-4-d195137c12dd> in <module>()
      9           omitCheckboxes=True)
     10 
---> 11 pp.add(YAxis(label="Right yAxis"))
     12 pp.add(Bars(displayName="Bar", 
     13        x=[1,3,5,7,10],

AttributeError: 'Plot' object has no attribute 'add'

Areas, Stems and Crosshair



In [ ]:

    
ch = Crosshair(color=beaker.prefs['theme']['plotColors'][0], width=2, style=StrokeType.DOT)
plot = Plot(crosshair=ch)
y1 = [4, 8, 16, 20, 32]
base = [2, 4, 8, 10, 16]
cs = [Color.black, Color.orange, Color.gray, Color.yellow, Color.pink]
ss = [StrokeType.SOLID, 
      StrokeType.SOLID, 
      StrokeType.DASH, 
      StrokeType.DOT, 
      StrokeType.DASHDOT, 
      StrokeType.LONGDASH]
plot.add(Area(y=y1, base=base, color=Color(255, 0, 0, 50)))
plot.add(Stems(y=y1, base=base, color=cs, style=ss, width=5))

Constant Lines, Constant Bands



In [ ]:

    
p = Plot ()
p.add(Line(y=[-1, 1]))
p.add(ConstantLine(x=0.65, style=StrokeType.DOT, color=Color.blue))
p.add(ConstantLine(y=0.1, style=StrokeType.DASHDOT, color=Color.blue))
p.add(ConstantLine(x=0.3, y=0.4, color=Color.gray, width=5, showLabel=True))



In [ ]:

    
Plot().add(Line(y=[-3, 1, 3, 4, 5])).add(ConstantBand(x=[1, 2], y=[1, 3]))

TimePlot



In [ ]:

    
import time

millis=current_milli_time()

hour = round(1000 * 60 * 60);
xs = [];
ys = [];
for i in range(11):
    xs.append(millis + hour * i);
    ys.append(i);

plot = TimePlot(timeZone="America/New_York")
# list of milliseconds
plot.add(Points(x=xs, y=ys, size=10, displayName="milliseconds"))

NanoPlot



In [ ]:

    
millis = current_milli_time()
nanos  = millis * 1000 * 1000
xs = []
ys = []
for i in range(11):
    xs.append(nanos + 7 * i)
    ys.append(i);

np = NanoPlot()
np.add(Points(x=xs, y=ys))

Stacking



In [ ]:

    
y1 = [1,5,3,2,3]
y2 = [7,2,4,1,3]
p = Plot(title='Plot with XYStacker', initHeight=200)
a1 = Area(y=y1, displayName='y1')
a2 = Area(y=y2, displayName='y2')
stacker = XYStacker()
p.add(stacker.stack([a1, a2]))

SimpleTime Plot



In [ ]:

    
SimpleTimePlot(beaker.rates, ["y1", "y10"])



In [ ]:

    
SimpleTimePlot(beaker.rates, ["y1", "y10"], # column names
               timeColumn="time", # time is default value for a timeColumn
               yLabel="Price", 
               displayNames=["1 Year", "10 Year"],
               colors = [[216, 154, 54], Color.lightGray],
               displayLines=False, # no lines (true by default)
               displayPoints=True) # show points (false by default))

Combined Plot



In [ ]:

    
# The CombinedPlot allows for stacked plots with linked X axis.
c = CombinedPlot(title="US Treasuries", initWidth=1000)

p1 = TimePlot(yLabel="Short Term")
p1.add(Line(x=beaker.time, y=beaker.m3, displayName="3 month"))

p2 = TimePlot(yLabel="Long Term")
p2.add(Line(x=beaker.time, y=beaker.y10, displayName="10 Year"))

c.add(p1, 1).add(p2, 1)

Demo data



In [ ]:

    
rates = beaker.rates
'ok'