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from beakerx import *
import pandas as pd
tableRows = pd.read_csv('../resources/data/interest-rates.csv')
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Plot(title="Title",
xLabel="Horizontal",
yLabel="Vertical",
initWidth=500,
initHeight=200)
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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"))
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plot = Plot(title= "Setting line properties")
ys = [0, 1, 6, 5, 2, 8]
ys2 = [0, 2, 7, 6, 3, 8]
plot.add(Line(y= ys, width= 10, color= Color.red))
plot.add(Line(y= ys, width= 3, color= Color.yellow))
plot.add(Line(y= ys, width= 4, color= Color(33, 87, 141), style= StrokeType.DASH, interpolation= 0))
plot.add(Line(y= ys2, width= 2, color= Color(212, 57, 59), style= StrokeType.DOT))
plot.add(Line(y= [5, 0], x= [0, 5], style= StrokeType.LONGDASH))
plot.add(Line(y= [4, 0], x= [0, 5], style= StrokeType.DASHDOT))
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plot = Plot(title= "Changing Point Size, Color, Shape")
y1 = [6, 7, 12, 11, 8, 14]
y2 = [4, 5, 10, 9, 6, 12]
y3 = [2, 3, 8, 7, 4, 10]
y4 = [0, 1, 6, 5, 2, 8]
plot.add(Points(y= y1))
plot.add(Points(y= y2, shape= ShapeType.CIRCLE))
plot.add(Points(y= y3, size= 8.0, shape= ShapeType.DIAMOND))
plot.add(Points(y= y4, size= 12.0, color= Color.orange, outlineColor= Color.red))
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plot = Plot(title= "Changing point properties with list")
cs = [Color.black, Color.red, Color.orange, Color.green, Color.blue, Color.pink]
ss = [6.0, 9.0, 12.0, 15.0, 18.0, 21.0]
fs = [False, False, False, True, False, False]
plot.add(Points(y= [5] * 6, size= 12.0, color= cs))
plot.add(Points(y= [4] * 6, size= 12.0, color= Color.gray, outlineColor= cs))
plot.add(Points(y= [3] * 6, size= ss, color= Color.red))
plot.add(Points(y= [2] * 6, size= 12.0, color= Color.black, fill= fs, outlineColor= Color.black))
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plot = Plot()
y1 = [1.5, 1, 6, 5, 2, 8]
cs = [Color.black, Color.red, Color.gray, Color.green, Color.blue, Color.pink]
ss = [StrokeType.SOLID, StrokeType.SOLID, StrokeType.DASH, StrokeType.DOT, StrokeType.DASHDOT, StrokeType.LONGDASH]
plot.add(Stems(y= y1, color= cs, style= ss, width= 5))
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plot = Plot(title= "Setting the base of Stems")
ys = [3, 5, 2, 3, 7]
y2s = [2.5, -1.0, 3.5, 2.0, 3.0]
plot.add(Stems(y= ys, width= 2, base= y2s))
plot.add(Points(y= ys))
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plot = Plot(title= "Bars")
cs = [Color(255, 0, 0, 128)] * 5 # transparent bars
cs[3] = Color.red # set color of a single bar, solid colored bar
plot.add(Bars(x= [1, 2, 3, 4, 5], y= [3, 5, 2, 3, 7], color= cs, outlineColor= Color.black, width= 0.3))
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plot = Plot(title= "Pandas line")
plot.add(Line(y= tableRows.y1, width= 2, color= Color(216, 154, 54)))
plot.add(Line(y= tableRows.y10, width= 2, color= Color.lightGray))
plot
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plot = Plot(title= "Pandas Series")
plot.add(Line(y= pd.Series([0, 6, 1, 5, 2, 4, 3]), width=2))
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plot = Plot(title= "Bars")
cs = [Color(255, 0, 0, 128)] * 7 # transparent bars
cs[3] = Color.red # set color of a single bar, solid colored bar
plot.add(Bars(pd.Series([0, 6, 1, 5, 2, 4, 3]), color= cs, outlineColor= Color.black, width= 0.3))
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ch = Crosshair(color=Color.black, 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))
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plot = Plot()
y = [3, 5, 2, 3]
x0 = [0, 1, 2, 3]
x1 = [3, 4, 5, 8]
plot.add(Area(x= x0, y= y))
plot.add(Area(x= x1, y= y, color= Color(128, 128, 128, 50), interpolation= 0))
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p = Plot()
p.add(Line(y= [3, 6, 12, 24], displayName= "Median"))
p.add(Area(y= [4, 8, 16, 32], base= [2, 4, 8, 16],
color= Color(255, 0, 0, 50), displayName= "Q1 to Q3"))
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ch = Crosshair(color= Color(255, 128, 5), width= 2, style= StrokeType.DOT)
pp = Plot(crosshair= ch, omitCheckboxes= True,
legendLayout= LegendLayout.HORIZONTAL, legendPosition= LegendPosition(position=LegendPosition.Position.TOP))
x = [1, 4, 6, 8, 10]
y = [3, 6, 4, 5, 9]
pp.add(Line(displayName= "Line", x= x, y= y, width= 3))
pp.add(Bars(displayName= "Bar", x= [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], y= [2, 2, 4, 4, 2, 2, 0, 2, 2, 4], width= 0.5))
pp.add(Points(x= x, y= y, size= 10))
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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))
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Plot().add(Line(y=[-3, 1, 3, 4, 5])).add(ConstantBand(x=[1, 2], y=[1, 3]))
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p = Plot()
p.add(Line(x= [-3, 1, 2, 4, 5], y= [4, 2, 6, 1, 5]))
p.add(ConstantBand(x= ['-Infinity', 1], color= Color(128, 128, 128, 50)))
p.add(ConstantBand(x= [1, 2]))
p.add(ConstantBand(x= [4, 'Infinity']))
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from decimal import Decimal
pos_inf = Decimal('Infinity')
neg_inf = Decimal('-Infinity')
print (pos_inf)
print (neg_inf)
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from beakerx.plot import Text as BeakerxText
plot = Plot()
xs = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
ys = [8.6, 6.1, 7.4, 2.5, 0.4, 0.0, 0.5, 1.7, 8.4, 1]
def label(i):
if ys[i] > ys[i+1] and ys[i] > ys[i-1]:
return "max"
if ys[i] < ys[i+1] and ys[i] < ys[i-1]:
return "min"
if ys[i] > ys[i-1]:
return "rising"
if ys[i] < ys[i-1]:
return "falling"
return ""
for i in xs:
i = i - 1
if i > 0 and i < len(xs)-1:
plot.add(BeakerxText(x= xs[i], y= ys[i], text= label(i), pointerAngle= -i/3.0))
plot.add(Line(x= xs, y= ys))
plot.add(Points(x= xs, y= ys))
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plot = Plot(title= "Setting 2nd Axis bounds")
ys = [0, 2, 4, 6, 15, 10]
ys2 = [-40, 50, 6, 4, 2, 0]
ys3 = [3, 6, 3, 6, 70, 6]
plot.add(YAxis(label="Spread"))
plot.add(Line(y= ys))
plot.add(Line(y= ys2, yAxis="Spread"))
plot.setXBound([-2, 10])
#plot.setYBound(1, 5)
plot.getYAxes()[0].setBound(1,5)
plot.getYAxes()[1].setBound(3,6)
plot
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plot = Plot(title= "Setting 2nd Axis bounds")
ys = [0, 2, 4, 6, 15, 10]
ys2 = [-40, 50, 6, 4, 2, 0]
ys3 = [3, 6, 3, 6, 70, 6]
plot.add(YAxis(label="Spread"))
plot.add(Line(y= ys))
plot.add(Line(y= ys2, yAxis="Spread"))
plot.setXBound([-2, 10])
plot.setYBound(1, 5)
plot
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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"))
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plot = TimePlot()
plot.add(Line(x=tableRows['time'], y=tableRows['m3']))
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y = pd.Series([7.5, 7.9, 7, 8.7, 8, 8.5])
dates = [np.datetime64('2015-02-01'),
np.datetime64('2015-02-02'),
np.datetime64('2015-02-03'),
np.datetime64('2015-02-04'),
np.datetime64('2015-02-05'),
np.datetime64('2015-02-06')]
plot = TimePlot()
plot.add(Line(x=dates, y=y))
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y = pd.Series([7.5, 7.9, 7, 8.7, 8, 8.5])
dates = pd.Series(['2015-02-01',
'2015-02-02',
'2015-02-03',
'2015-02-04',
'2015-02-05',
'2015-02-06']
, dtype='datetime64[ns]')
plot = TimePlot()
plot.add(Line(x=dates, y=y))
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import datetime
y = pd.Series([7.5, 7.9, 7, 8.7, 8, 8.5])
dates = [datetime.date(2015, 2, 1),
datetime.date(2015, 2, 2),
datetime.date(2015, 2, 3),
datetime.date(2015, 2, 4),
datetime.date(2015, 2, 5),
datetime.date(2015, 2, 6)]
plot = TimePlot()
plot.add(Line(x=dates, y=y))
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import datetime
y = pd.Series([7.5, 7.9, 7, 8.7, 8, 8.5])
dates = [datetime.datetime(2015, 2, 1),
datetime.datetime(2015, 2, 2),
datetime.datetime(2015, 2, 3),
datetime.datetime(2015, 2, 4),
datetime.datetime(2015, 2, 5),
datetime.datetime(2015, 2, 6)]
plot = TimePlot()
plot.add(Line(x=dates, y=y))
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millis = current_milli_time()
nanos = millis * 1000 * 1000
xs = []
ys = []
for i in range(11):
xs.append(nanos + 7 * i)
ys.append(i)
nanoplot = NanoPlot()
nanoplot.add(Points(x=xs, y=ys))
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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]))
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SimpleTimePlot(tableRows, ["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=True, # no lines (true by default)
displayPoints=False) # show points (false by default))
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#time column base on DataFrame index
tableRows.index = tableRows['time']
SimpleTimePlot(tableRows, ['m3'])
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rng = pd.date_range('1/1/2011', periods=72, freq='H')
ts = pd.Series(np.random.randn(len(rng)), index=rng)
df = pd.DataFrame(ts, columns=['y'])
SimpleTimePlot(df, ['y'])
The plot can have two y-axes. Just add a YAxis to the plot object, and specify its label.
Then for data that should be scaled according to this second axis,
specify the property yAxis with a value that coincides with the label given.
You can use upperMargin and lowerMargin to restrict the range of the data leaving more white, perhaps for the data on the other axis.
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p = TimePlot(xLabel= "Time", yLabel= "Interest Rates")
p.add(YAxis(label= "Spread", upperMargin= 4))
p.add(Area(x= tableRows.time, y= tableRows.spread, displayName= "Spread",
yAxis= "Spread", color= Color(180, 50, 50, 128)))
p.add(Line(x= tableRows.time, y= tableRows.m3, displayName= "3 Month"))
p.add(Line(x= tableRows.time, y= tableRows.y10, displayName= "10 Year"))
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import math
points = 100
logBase = 10
expys = []
xs = []
for i in range(0, points):
xs.append(i / 15.0)
expys.append(math.exp(xs[i]))
cplot = CombinedPlot(xLabel= "Linear")
logYPlot = Plot(title= "Linear x, Log y", yLabel= "Log", logY= True, yLogBase= logBase)
logYPlot.add(Line(x= xs, y= expys, displayName= "f(x) = exp(x)"))
logYPlot.add(Line(x= xs, y= xs, displayName= "g(x) = x"))
cplot.add(logYPlot, 4)
linearYPlot = Plot(title= "Linear x, Linear y", yLabel= "Linear")
linearYPlot.add(Line(x= xs, y= expys, displayName= "f(x) = exp(x)"))
linearYPlot.add(Line(x= xs, y= xs, displayName= "g(x) = x"))
cplot.add(linearYPlot,4)
cplot
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plot = Plot(title= "Log x, Log y", xLabel= "Log", yLabel= "Log",
logX= True, xLogBase= logBase, logY= True, yLogBase= logBase)
plot.add(Line(x= xs, y= expys, displayName= "f(x) = exp(x)"))
plot.add(Line(x= xs, y= xs, displayName= "f(x) = x"))
plot