def constructImage(self):
scatter = Scatter()
scatter.label="Hooray dots with vlines!"
scatter.xValues = [
7, 6, 3, 5, 7, 6, 1, 1, 6, 5, 8, 6, 7, 8, 0, 2, 9, 3, 9,
5, 4, 5, 0, 0, 2, 3, 1, 4, 1, 3, 3, 8, 1, 5, 2, 6, 0, 3,
5, 1, 4, 9, 5, 1, 9, 9, 9, 7, 6, 5, 8, 6, 0, 2, 6, 9, 2,
5, 6, 9, 7, 8, 7, 6, 5, 9, 9, 2, 4, 9, 0, 1, 1, 1, 6, 4,
5, 8, 9, 1, 2, 1, 4, 5, 9, 7, 4, 9, 2, 9, 2, 5, 2, 2, 0,
2, 1, 9, 3, 6]
scatter.yValues = [
2, 5, 9, 5, 9, 3, 6, 1, 6, 0, 0, 6, 2, 5, 3, 9, 2, 7, 6,
2, 3, 1, 9, 9, 5, 2, 9, 0, 2, 3, 0, 2, 5, 5, 8, 4, 1, 9,
8, 6, 1, 6, 9, 2, 4, 9, 2, 8, 1, 1, 2, 1, 0, 6, 3, 4, 2,
5, 6, 8, 6, 9, 0, 6, 8, 6, 8, 1, 6, 2, 2, 3, 6, 2, 2, 2,
0, 2, 4, 6, 8, 5, 1, 4, 2, 3, 5, 3, 1, 0, 6, 0, 1, 6, 8,
9, 3, 9, 3, 7]
vline1 = VLine()
vline1.xValues = [2,8]
vline1.color = 'CornflowerBlue'
vline2 = VLine()
vline2.xValues = [1,9]
vline2.color = 'GoldenRod'
plot = Plot()
plot.hasLegend()
plot.add(scatter)
plot.add(vline1)
plot.add(vline2)
plot.save(self.imageName)
def constructImage(self):
scatter = Scatter()
scatter.label = "Hooray dots with vlines!"
scatter.xValues = [
7, 6, 3, 5, 7, 6, 1, 1, 6, 5, 8, 6, 7, 8, 0, 2, 9, 3, 9, 5, 4, 5,
0, 0, 2, 3, 1, 4, 1, 3, 3, 8, 1, 5, 2, 6, 0, 3, 5, 1, 4, 9, 5, 1,
9, 9, 9, 7, 6, 5, 8, 6, 0, 2, 6, 9, 2, 5, 6, 9, 7, 8, 7, 6, 5, 9,
9, 2, 4, 9, 0, 1, 1, 1, 6, 4, 5, 8, 9, 1, 2, 1, 4, 5, 9, 7, 4, 9,
2, 9, 2, 5, 2, 2, 0, 2, 1, 9, 3, 6
]
scatter.yValues = [
2, 5, 9, 5, 9, 3, 6, 1, 6, 0, 0, 6, 2, 5, 3, 9, 2, 7, 6, 2, 3, 1,
9, 9, 5, 2, 9, 0, 2, 3, 0, 2, 5, 5, 8, 4, 1, 9, 8, 6, 1, 6, 9, 2,
4, 9, 2, 8, 1, 1, 2, 1, 0, 6, 3, 4, 2, 5, 6, 8, 6, 9, 0, 6, 8, 6,
8, 1, 6, 2, 2, 3, 6, 2, 2, 2, 0, 2, 4, 6, 8, 5, 1, 4, 2, 3, 5, 3,
1, 0, 6, 0, 1, 6, 8, 9, 3, 9, 3, 7
]
vline1 = VLine()
vline1.xValues = [2, 8]
vline1.color = 'CornflowerBlue'
vline2 = VLine()
vline2.xValues = [1, 9]
vline2.color = 'GoldenRod'
plot = Plot()
plot.hasLegend()
plot.add(scatter)
plot.add(vline1)
plot.add(vline2)
plot.save(self.imageName)
def __init__(self, label, color):
line = Line()
line.marker = "."
line.label = label
line.color = color
self.line = line
scatter = Scatter()
scatter.marker = "x"
scatter.color = color
scatter.markerSize = 200
self.scatter = scatter
def constructImage(self):
line = Line()
line.xValues = range(5)
line.yValues = [2, 4, 6, 8, 10]
linePlot = Plot()
linePlot.add(line)
linePlot.setXLabel("X Data")
linePlot.setYLabel("Y Data")
linePlot.setTitle("Data as Line")
bar = Bar()
bar.xValues = range(5)
bar.yValues = [2, 4, 6, 8, 10]
barPlot = Plot()
barPlot.add(bar)
barPlot.setXLabel("X Data")
barPlot.setYLabel("Y Data")
barPlot.setTitle("Data as Bars")
scatter = Scatter()
scatter.xValues = range(5)
scatter.yValues = [2, 4, 6, 8, 10]
scatterPlot = Plot()
scatterPlot.add(scatter)
scatterPlot.setXLabel("X Data")
scatterPlot.setYLabel("Y Data")
scatterPlot.setTitle("Data as Points")
layout = PlotLayout()
# Plots in the same grouping are placed together on the same line
layout.addPlot(linePlot, grouping="topRow")
layout.addPlot(barPlot, grouping="topRow")
# Plots without a grouping are arranged as follows:
# * While you can make a row of N plots, where N is the size of the plot
# grouping with the largest size, do so.
# * If you can't make a row of N plots, make the plots stretch across a
# single row.
layout.addPlot(scatterPlot)
# Set values similar to those given in the "Configure subplots" sliders
# in the interactive figure
layout.setPlotParameters(hspace=0.48)
layout.save(self.imageName)
def constructImage(self):
line = Line()
line.xValues = range(5)
line.yValues = [2, 4, 6, 8, 10]
linePlot = Plot()
linePlot.add(line)
linePlot.xLabel = "X Data"
linePlot.yLabel = "Y Data"
linePlot.title = "Data as Line"
bar = Bar()
bar.xValues = range(5)
bar.yValues = [2, 4, 6, 8, 10]
barPlot = Plot()
barPlot.add(bar)
barPlot.xLabel = "X Data"
barPlot.yLabel = "Y Data"
barPlot.title = "Data as Bars"
scatter = Scatter()
scatter.xValues = range(5)
scatter.yValues = [2, 4, 6, 8, 10]
scatterPlot = Plot()
scatterPlot.add(scatter)
scatterPlot.xLabel = "X Data"
scatterPlot.yLabel = "Y Data"
scatterPlot.title = "Data as Points"
layout = WeightedPlotLayout()
# Plots in the same grouping are placed together on the same line
layout.addPlot(linePlot, grouping="topRow", weight=2)
layout.addPlot(barPlot, grouping="topRow")
# Plots without a grouping are arranged as follows:
# * While you can make a row of N plots, where N is the size of the plot
# grouping with the largest size, do so.
# * If you can't make a row of N plots, make the plots stretch across a
# single row.
layout.addPlot(scatterPlot)
layout.save(self.imageName)
def constructImage(self):
line = Line()
line.xValues = range(5)
line.yValues = [2, 4, 6, 8, 10]
linePlot = Plot()
linePlot.add(line)
linePlot.xLabel = "X Data"
linePlot.yLabel = "Y Data"
linePlot.title = "Data as Line"
bar = Bar()
bar.xValues = range(5)
bar.yValues = [2, 4, 6, 8, 10]
barPlot = Plot()
barPlot.add(bar)
barPlot.xLabel = "X Data"
barPlot.yLabel = "Y Data"
barPlot.title = "Data as Bars"
scatter = Scatter()
scatter.xValues = range(5)
scatter.yValues = [2, 4, 6, 8, 10]
scatterPlot = Plot()
scatterPlot.add(scatter)
scatterPlot.xLabel = "X Data"
scatterPlot.yLabel = "Y Data"
scatterPlot.title = "Data as Points"
layout = PlotLayout()
layout.addPlot(linePlot, grouping="topRow")
layout.addPlot(barPlot, grouping="topRow")
layout.addPlot(scatterPlot)
layout.save(self.imageName)
def constructImage(self):
line = Line()
line.xValues = range(5)
line.yValues = [2, 4, 6, 8, 10]
linePlot = Plot()
linePlot.add(line)
linePlot.xLabel = "X Data"
linePlot.yLabel = "Y Data"
linePlot.title = "Data as Line"
bar = Bar()
bar.xValues = range(5)
bar.yValues = [2, 4, 6, 8, 10]
barPlot = Plot()
barPlot.add(bar)
barPlot.xLabel = "X Data"
barPlot.yLabel = "Y Data"
barPlot.title = "Data as Bars"
scatter = Scatter()
scatter.xValues = range(5)
scatter.yValues = [2, 4, 6, 8, 10]
scatterPlot = Plot()
scatterPlot.add(scatter)
scatterPlot.xLabel = "X Data"
scatterPlot.yLabel = "Y Data"
scatterPlot.title = "Data as Points"
layout = PlotLayout()
layout.addPlot(linePlot, grouping="topRow")
layout.addPlot(barPlot, grouping="topRow")
layout.addPlot(scatterPlot)
layout.save(self.imageName)
def constructImage(self):
scatter = Scatter()
scatter.label="Hooray dots!"
scatter.xValues = [
7, 6, 3, 5, 7, 6, 1, 1, 6, 5, 8, 6, 7, 8, 0, 2, 9, 3, 9,
5, 4, 5, 0, 0, 2, 3, 1, 4, 1, 3, 3, 8, 1, 5, 2, 6, 0, 3,
5, 1, 4, 9, 5, 1, 9, 9, 9, 7, 6, 5, 8, 6, 0, 2, 6, 9, 2,
5, 6, 9, 7, 8, 7, 6, 5, 9, 9, 2, 4, 9, 0, 1, 1, 1, 6, 4,
5, 8, 9, 1, 2, 1, 4, 5, 9, 7, 4, 9, 2, 9, 2, 5, 2, 2, 0,
2, 1, 9, 3, 6]
scatter.yValues = [
2, 5, 9, 5, 9, 3, 6, 1, 6, 0, 0, 6, 2, 5, 3, 9, 2, 7, 6,
2, 3, 1, 9, 9, 5, 2, 9, 0, 2, 3, 0, 2, 5, 5, 8, 4, 1, 9,
8, 6, 1, 6, 9, 2, 4, 9, 2, 8, 1, 1, 2, 1, 0, 6, 3, 4, 2,
5, 6, 8, 6, 9, 0, 6, 8, 6, 8, 1, 6, 2, 2, 3, 6, 2, 2, 2,
0, 2, 4, 6, 8, 5, 1, 4, 2, 3, 5, 3, 1, 0, 6, 0, 1, 6, 8,
9, 3, 9, 3, 7]
plot = Plot()
plot.hasLegend()
plot.add(scatter)
plot.save(self.imageName)
#!/usr/bin/env python
import random
from boomslang import Scatter, Plot
scatter = Scatter()
scatter.label="Hooray dots!"
for i in range(100):
scatter.xValues.append(random.uniform(0, 10))
scatter.yValues.append(random.uniform(0, 10))
plot = Plot()
plot.hasLegend()
plot.add(scatter)
plot.save("scatter.png")
linePlot.setXLabel("X Data")
linePlot.setYLabel("Y Data")
linePlot.setTitle("Data as Line")
bar = Bar()
bar.xValues = range(5)
bar.yValues = [2, 4, 6, 8, 10]
barPlot = Plot()
barPlot.add(bar)
barPlot.setXLabel("X Data")
barPlot.setYLabel("Y Data")
barPlot.setTitle("Data as Bars")
scatter = Scatter()
scatter.xValues = range(5)
scatter.yValues = [2, 4, 6, 8, 10]
scatterPlot = Plot()
scatterPlot.add(scatter)
scatterPlot.setXLabel("X Data")
scatterPlot.setYLabel("Y Data")
scatterPlot.setTitle("Data as Points")
layout = PlotLayout()
# Plots in the same grouping are placed together on the same line
layout.addPlot(linePlot, grouping="topRow")
layout.addPlot(barPlot, grouping="topRow")
zero_crossings = np.where(np.diff(np.sign(surfFilteredGradient)))[0]
print zero_crossings
roadFeatures = np.zeros((len(zero_crossings), 2))
j = 0
for i in zero_crossings:
xval = x[i]
yval = surf[i]
roadFeatures[j, 0] = xval
roadFeatures[j, 1] = yval
j = j + 1
### Plotting
scatter = Scatter()
scatter.xValues = x
scatter.yValues = surf
scatter.markerSize = 1
scatterPlot = Plot()
scatterPlot.add(scatter)
scatterPlot.xLabel = "X Data"
scatterPlot.yLabel = "Height"
scatterPlot.title = "Surface (raw)"
layout = PlotLayout()
layout.addPlot(scatterPlot)
#layout.plot()
layout.save("profile1.png")