def constructImage(self):
plot = Plot()
bar = Bar()
bar.xValues = range(5)
bar.yValues = [2, 8, 4, 6, 5]
plot.add(bar)
plot.xLabel = "Widget ID"
plot.yLabel = "# Widgets Sold"
plot.save(self.imageName)
def constructImage(self):
plot = BrokenAxisPlot(break_points=(4,8))
bar = Bar()
bar.xValues = range(5)
bar.yValues = [2, 12, 3, 18.5, 13]
plot.add(bar)
plot.setXLabel("Widget ID")
plot.setYLabel("# Widgets Sold")
plot.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.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 getBinBars(rows,
binKey,
quantityKey,
xLabelFormattingFunction,
xLabel,
yLabel,
xLabelRotation=0):
bins = []
countsPerBin = []
for row in rows:
bins.append(int(row[binKey]))
countsPerBin.append(int(row[quantityKey]))
bar = Bar()
bar.xValues = bins
bar.yValues = countsPerBin
if xLabelFormattingFunction is not None:
bar.xTickLabelPoints = range(len(bins))
bar.xTickLabels = map(xLabelFormattingFunction, bar.xTickLabelPoints)
if xLabelRotation > 0:
bar.setXTickLabelProperties(rotation=str(xLabelRotation))
barPlot = Plot()
barPlot.add(bar)
barPlot.setXLabel(xLabel)
barPlot.setYLabel(yLabel)
# barPlot.setXLimits(0, None)
return barPlot
def constructImage(self):
cluster = ClusteredBars()
colors = ['red','green','blue','CornflowerBlue','LightSalmon']
yVals = [[
[1, 3, 2, 5, 4],
[2, 2, 2, 2, 2],
[1, 3, 2, 4, 3],
[0, 4, 0, 4, 0],
[5, 5, 5, 5, 5]
],[
[2, 2, 2, 2, 2],
[2, 2, 2, 2, 2],
[2, 2, 2, 2, 2],
[2, 2, 2, 2, 2],
[2, 2, 2, 2, 2]
],
[
[1, 3, 1, 3, 1],
[1, 3, 1, 3, 1],
[1, 3, 1, 3, 1],
[1, 3, 1, 3, 1],
[1, 3, 1, 3, 1],
]]
for i in xrange(3):
stack = StackedBars()
for j in xrange(5):
bar = Bar()
bar.xValues = range(5)
bar.yValues = yVals[i][j]
bar.color = colors[j]
bar.label = "Subject %d" % (j+1,)
stack.add(bar)
cluster.add(stack)
cluster.spacing = 0.5
cluster.xTickLabels = ["1", "2", "3", "4", "5"]
plot = Plot()
plot.add(cluster)
plot.hasLegend()
plot.setXLabel('Nested Cars')
plot.setYLabel('Party (lampshades)')
plot.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):
bar = Bar()
bar.xValues = range(5)
bar.yValues = [2, 4, 6, 8, 10]
# Valid values include all marker types, /, //, \, \\
bar.hatch = r"\\"
bar.color="red"
bar.edgeColor="black"
plot = Plot()
plot.add(bar)
plot.save(self.imageName)
def constructImage(self):
cluster = ClusteredBars()
colors = ['red', 'green', 'blue', 'CornflowerBlue', 'LightSalmon']
yVals = [[[1, 3, 2, 5, 4], [2, 2, 2, 2, 2], [1, 3, 2, 4, 3],
[0, 4, 0, 4, 0], [5, 5, 5, 5, 5]],
[[2, 2, 2, 2, 2], [2, 2, 2, 2, 2], [2, 2, 2, 2, 2],
[2, 2, 2, 2, 2], [2, 2, 2, 2, 2]],
[
[1, 3, 1, 3, 1],
[1, 3, 1, 3, 1],
[1, 3, 1, 3, 1],
[1, 3, 1, 3, 1],
[1, 3, 1, 3, 1],
]]
for i in xrange(3):
stack = StackedBars()
for j in xrange(5):
bar = Bar()
bar.xValues = range(5)
bar.yValues = yVals[i][j]
bar.color = colors[j]
bar.label = "Subject %d" % (j + 1, )
stack.add(bar)
cluster.add(stack)
cluster.spacing = 0.5
cluster.xTickLabels = ["1", "2", "3", "4", "5"]
plot = Plot()
plot.add(cluster)
plot.hasLegend()
plot.setXLabel('Nested Cars')
plot.setYLabel('Party (lampshades)')
plot.save(self.imageName)
def plot_timeline_for_phase(log_directory, job, phase, phase_data):
min_timestamp = phase_data["min_timestamp"]
max_timestamp = phase_data["max_timestamp"]
description = Description(os.path.join(log_directory, job, "description"))
stage_ordering = description.getStageOrdering(phase)
duration_lists = {}
for stage in stage_ordering:
duration_lists[stage] = []
for key in phase_data:
if key in ["min_timestamp", "max_timestamp"]:
continue
hostname, stage, worker_id = key
worker_duration_info = Duration(
hostname.split('.')[0], stage, worker_id,
(phase_data[key][0] - min_timestamp) / 1000000.0,
(phase_data[key][1] - min_timestamp) / 1000000.0)
duration_lists[stage].append(worker_duration_info)
def sort_function(x):
return (x.hostname, x.worker_id, x.start_time, x.stop_time)
layout = PlotLayout()
for stage in stage_ordering:
duration_list = duration_lists[stage]
duration_list.sort(key=sort_function)
bars = {}
# Set up a "padding" bar that will appear to move bars up so that they
# start when the worker starts
start_bar = Bar()
start_bar.linewidth = 0
start_bar.color = "white"
for i, duration in enumerate(duration_list):
if duration.hostname not in bars:
bars[duration.hostname] = Bar()
bars[duration.hostname].yValues.append(duration.stop_time -
duration.start_time)
start_bar.yValues.append(duration.start_time)
# Make sure that all bars have the same number of y-axis values,
# give them x-axis values and set their colors
start_bar.xValues = range(len(start_bar.yValues))
start_bar.xTickLabelProperties = {"rotation": 90}
bar_colors = [
"red", "blue", "green", "orange", "gray", "pink", "purple", "black"
]
offset = 0
for i, (hostname, bar) in enumerate(bars.items()):
# Pad y axis with zeroes so that bars can be laid out next to
# each other with a StackedBars
num_y_values = len(bar.yValues)
bar.yValues = (([0] * offset) + bar.yValues +
([0] * (len(duration_list) -
(num_y_values + offset))))
# Put the label for this hostname roughly in the middle of its bar
# cluster
start_bar.xTickLabels.append(hostname)
# Subtracting 0.5 to account for half the width of the bar
start_bar.xTickLabelPoints.append(offset + (num_y_values / 2.0) -
0.5)
offset += num_y_values
bar.xValues = range(len(bar.yValues))
bar.color = bar_colors[i % len(bar_colors)]
bar.label = hostname
stacked_bars = StackedBars()
stacked_bars.add(start_bar)
for hostname in sorted(bars.keys()):
stacked_bars.add(bars[hostname])
plot = Plot()
plot.setYLimits(0,
((max_timestamp - min_timestamp) / 1000000.0) * 1.05)
plot.setXLabel("Worker")
plot.setYLabel("Time (s)")
plot.setTitle(stage)
plot.add(stacked_bars)
layout.addPlot(plot)
return layout
threadsData["8"] = [[], []]
try:
while True:
row1 = data.next()
row2 = data.next()
row3 = data.next()
x = int(row1[" K"]) / 20
y = (float(row1[" PforMSWpS"]) + float(row2[" PforMSWpS"]) + float(row3[" PforMSWpS"])) / 3.0
threadsData[row1[" THREADS"].strip()][0].append(x)
threadsData[row1[" THREADS"].strip()][1].append(y)
except:
pass
bar1 = Bar()
bar1.xValues = threadsData["1"][0]
bar1.yValues = threadsData["1"][1]
bar1.color = "red"
bar1.label = "1 Thread"
bar2 = Bar()
bar2.xValues = threadsData["2"][0]
bar2.yValues = threadsData["2"][1]
bar2.color = "blue"
bar2.label = "2 Threads"
bar3 = Bar()
bar3.xValues = threadsData["3"][0]
bar3.yValues = threadsData["3"][1]
bar3.color = "green"
def constructImage(self):
bar1 = Bar()
bar1.xValues = range(5)
bar1.yValues = [1, 2, 1, 2, 3]
bar1.color = "red"
bar1.label = "Red Cluster"
bar2 = Bar()
bar2.xValues = range(5)
bar2.yValues = [2, 2, 3, 3, 4]
bar2.color = "blue"
bar2.label = "Blue Cluster"
bar3 = Bar()
bar3.xValues = range(5)
bar3.yValues = [3, 5, 4, 5, 3]
bar3.color = "green"
bar3.label = "Green Cluster"
stackedBars = StackedBars()
stackedBars.add(bar1)
stackedBars.add(bar2)
stackedBars.add(bar3)
stackedBars.xTickLabels = ["A", "B", "C", "D", "E"]
plot = Plot()
plot.add(stackedBars)
plot.setYLimits(0, 15)
plot.hasLegend()
plot.save(self.imageName)
#!/usr/bin/env python
from boomslang import Bar, Line, Scatter, Plot, PlotLayout
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)
dataY.append(y)
y = (float(row1[' OptWpS']) + float(row2[' OptWpS']) + float(row3[' OptWpS'])) / 3.0
dataY.append(y)
y = (float(row1[' Opt2WpS']) + float(row2[' Opt2WpS']) + float(row3[' Opt2WpS'])) / 3.0
dataY.append(y)
except:
pass
bars = []
labels = ['Reference', 'OMP - For', 'OMP - Tasks', 'Comp-Opt', 'Manual-Opt']
colors = ['yellow', 'red', 'orange', 'blue', 'green']
index = 0
for y in dataY:
bar = Bar()
bar.xValues = [index]
bar.yValues = [y]
bar.color = colors[index]
bar.label = labels[index]
index += 1
bars.append(bar)
plot = Plot()
for bar in bars:
plot.add(bar)
plot.setXLabel("Versions")
plot.setYLabel("WpS")
plot.hasLegend()
plot.save("seq.png")
#!/usr/bin/env python from boomslang import StackedBars, Bar, Plot bar1 = Bar() bar1.xValues = range(5) bar1.yValues = [1, 2, 1, 2, 3] bar1.color = "red" bar1.label = "Red Cluster" bar2 = Bar() bar2.xValues = range(5) bar2.yValues = [2, 2, 3, 3, 4] bar2.color = "blue" bar2.label = "Blue Cluster" bar3 = Bar() bar3.xValues = range(5) bar3.yValues = [3, 5, 4, 5, 3] bar3.color = "green" bar3.label = "Green Cluster" stackedBars = StackedBars() stackedBars.add(bar1) stackedBars.add(bar2) stackedBars.add(bar3) stackedBars.xTickLabels = ["A", "B", "C", "D", "E"] plot = Plot() plot.add(stackedBars) plot.setYLimits(0, 15)
def constructImage(self):
bar1 = Bar()
bar1.xValues = range(5)
bar1.yValues = [2, 4, 6, 8, 10]
bar1.color = "red"
bar1.label = "Red Cluster"
bar2 = Bar()
bar2.xValues = range(5)
bar2.yValues = [3, 12, 4, 8, 14]
bar2.color = "blue"
bar2.label = "Blue Cluster"
bar3 = Bar()
bar3.xValues = range(5)
bar3.yValues = [1, 6, 9, 13, 20]
bar3.color = "green"
bar3.label = "Green Cluster"
clusteredBars = ClusteredBars()
clusteredBars.add(bar1)
clusteredBars.add(bar2)
clusteredBars.add(bar3)
clusteredBars.spacing = 0.5
clusteredBars.xTickLabels = ["A", "B", "C", "D", "E"]
plot = Plot()
plot.add(clusteredBars)
plot.hasLegend()
plot.save(self.imageName)
#!/usr/bin/env python
from boomslang import Bar, Plot
bar = Bar()
bar.xValues = range(5)
bar.yValues = [2, 4, 6, 8, 10]
# Valid values include all marker types, /, //, \, \\
bar.hatch = r"\\"
bar.color="red"
bar.edgeColor="black"
plot = Plot()
plot.add(bar)
plot.save("hatchedbars.png")
#!/usr/bin/env python
from boomslang import Bar, Plot
plot = Plot()
bar = Bar()
bar.xValues = range(5)
bar.yValues = [2, 8, 4, 6, 5]
plot.add(bar)
plot.setXLabel("Widget ID")
plot.setYLabel("# Widgets Sold")
plot.save("bar.png")
def constructImage(self):
bar1 = Bar()
bar1.xValues = range(5)
bar1.yValues = [1, 2, 1, 2, 3]
bar1.color = "red"
bar1.label = "Red Cluster"
bar2 = Bar()
bar2.xValues = range(5)
bar2.yValues = [2, 2, 3, 3, 4]
bar2.color = "blue"
bar2.label = "Blue Cluster"
bar3 = Bar()
bar3.xValues = range(5)
bar3.yValues = [3, 5, 4, 5, 3]
bar3.color = "green"
bar3.label = "Green Cluster"
stackedBars = StackedBars()
stackedBars.add(bar1)
stackedBars.add(bar2)
stackedBars.add(bar3)
stackedBars.xTickLabels = ["A", "B", "C", "D", "E"]
plot = Plot()
plot.add(stackedBars)
plot.yLimits = (0, 15)
plot.hasLegend()
plot.save(self.imageName)
def plot_timeline_for_phase(log_directory, job, phase, phase_data):
min_timestamp = phase_data["min_timestamp"]
max_timestamp = phase_data["max_timestamp"]
description = Description(os.path.join(log_directory, job, "description"))
stage_ordering = description.getStageOrdering(phase)
duration_lists = {}
for stage in stage_ordering:
duration_lists[stage] = []
for key in phase_data:
if key in ["min_timestamp", "max_timestamp"]:
continue
hostname, stage, worker_id = key
worker_duration_info = Duration(
hostname.split('.')[0], stage, worker_id,
(phase_data[key][0] - min_timestamp) / 1000000.0,
(phase_data[key][1] - min_timestamp) / 1000000.0)
duration_lists[stage].append(worker_duration_info)
def sort_function(x):
return (x.hostname, x.worker_id, x.start_time, x.stop_time)
layout = PlotLayout()
for stage in stage_ordering:
duration_list = duration_lists[stage]
duration_list.sort(key=sort_function)
bars = {}
# Set up a "padding" bar that will appear to move bars up so that they
# start when the worker starts
start_bar = Bar()
start_bar.linewidth = 0
start_bar.color = "white"
for i, duration in enumerate(duration_list):
if duration.hostname not in bars:
bars[duration.hostname] = Bar()
bars[duration.hostname].yValues.append(
duration.stop_time - duration.start_time)
start_bar.yValues.append(duration.start_time)
# Make sure that all bars have the same number of y-axis values,
# give them x-axis values and set their colors
start_bar.xValues = range(len(start_bar.yValues))
start_bar.xTickLabelProperties = {
"rotation" : 90
}
bar_colors = ["red", "blue", "green", "orange", "gray", "pink",
"purple", "black"]
offset = 0
for i, (hostname, bar) in enumerate(bars.items()):
# Pad y axis with zeroes so that bars can be laid out next to
# each other with a StackedBars
num_y_values = len(bar.yValues)
bar.yValues = (([0] * offset) + bar.yValues +
([0] *
(len(duration_list) - (num_y_values + offset))))
# Put the label for this hostname roughly in the middle of its bar
# cluster
start_bar.xTickLabels.append(hostname)
# Subtracting 0.5 to account for half the width of the bar
start_bar.xTickLabelPoints.append(offset + (num_y_values / 2.0)
- 0.5)
offset += num_y_values
bar.xValues = range(len(bar.yValues))
bar.color = bar_colors[i % len(bar_colors)]
bar.label = hostname
stacked_bars = StackedBars()
stacked_bars.add(start_bar)
for hostname in sorted(bars.keys()):
stacked_bars.add(bars[hostname])
plot = Plot()
plot.setYLimits(0, ((max_timestamp - min_timestamp) / 1000000.0) * 1.05)
plot.setXLabel("Worker")
plot.setYLabel("Time (s)")
plot.setTitle(stage)
plot.add(stacked_bars)
layout.addPlot(plot)
return layout
