def constructImage(self):
plot = Plot()
# Uneven error bars
line = Line()
line.xValues = [6,10,4,0,8,2,12]
line.yValues = [50,90,30,10,70,20,110]
line.yMins = [y - 30 for y in line.yValues]
line.yMaxes = [y + 50 for y in line.yValues]
line.label = "Asymmetric Errors"
line.color = "red"
# Even error bars
line2 = Line()
line2.xValues = [1,5,3,9,7,11]
line2.yValues = [100, 120, 110, 140, 130, 150]
line2.color = "blue"
line2.label = "Symmetric Errors"
line2.yErrors = [5,25,15,45,35,55]
plot.add(line)
plot.add(line2)
plot.xLabel = "X Label"
plot.yLabel = "Y Label"
plot.hasLegend()
plot.xLimits = (-1, 13)
plot.save(self.imageName)
def constructImage(self):
plot = Plot()
# Uneven error bars
line = Line()
line.xValues = [6, 10, 4, 0, 8, 2, 12]
line.yValues = [50, 90, 30, 10, 70, 20, 110]
line.yMins = [y - 30 for y in line.yValues]
line.yMaxes = [y + 50 for y in line.yValues]
line.label = "Asymmetric Errors"
line.color = "red"
# Even error bars
line2 = Line()
line2.xValues = [1, 5, 3, 9, 7, 11]
line2.yValues = [100, 120, 110, 140, 130, 150]
line2.color = "blue"
line2.label = "Symmetric Errors"
line2.yErrors = [5, 25, 15, 45, 35, 55]
plot.add(line)
plot.add(line2)
plot.xLabel = "X Label"
plot.yLabel = "Y Label"
plot.hasLegend()
plot.xLimits = (-1, 13)
plot.save(self.imageName)
def main():
output_graph = sys.argv[1]
plot = Plot()
plot.hasLegend(location='lower right')
plot.xLabel = 'Per-client throughput (Mbps)' # Change this
plot.yLabel = 'CDF'
plot.xLimits = (0, 50)
plot.yLimits = (0, 1)
plot.legendLabelSize = FONT_SIZE
plot.xTickLabelSize = FONT_SIZE - 2
plot.yTickLabelSize = FONT_SIZE - 2
plot.axesLabelSize = FONT_SIZE
for csv_file in sys.argv[2:]:
cdf_table = _make_cdf(csv_file)
line = Line()
line.xValues = [x for (x, _) in cdf_table]
line.yValues = [y for (_, y) in cdf_table]
line.color = colors.pop(0)
line.lineStyle = line_styles.pop(0)
# Extract the filename
line.label = capitalize( csv_file.split('/')[-2].replace('.csv', '') )
plot.add(line)
plot.save(output_graph)
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):
line1 = Line()
line1.xValues = range(7)
line1.yValues = [1, 2, 4, 8, 16, 32, 64]
line1.label = "First Plot"
line1.lineStyle = "-"
line1.color = "red"
line2 = Line()
line2.xValues = range(7)
line2.yValues = [100, 90, 80, 70, 60, 50, 40]
line2.label = "Second Plot"
line2.lineStyle = "--"
line2.color = "blue"
plot = Plot()
plot.add(line1)
plot.add(line2)
plot.xLabel = "Shared X Axis"
plot.yLabel = "First Plot's Y Axis"
plot.setTwinX("Second Plot's Y Axis", 1)
plot.hasLegend()
plot.save(self.imageName)
#!/usr/bin/env python
from boomslang import Line, Plot
plot = Plot()
# Uneven error bars
line = Line()
line.xValues = range(6)
line.yValues = [25, 21, 30, 23, 10, 30]
line.yMins = [10, 18, 10, 10, 5, 20]
line.yMaxes = [30, 50, 40, 30, 20, 45]
line.label = "Asymmetric Errors"
line.color = "red"
line.xValues = range(len(line.yValues))
# Even error bars
line2 = Line()
line2.xValues = range(6)
line2.yValues = [35, 40, 45, 40, 55, 50]
line2.color = "blue"
line2.label = "Symmetric Errors"
line2.yErrors = [3, 6, 5, 3, 5, 4]
plot.add(line)
plot.add(line2)
plot.setXLabel("X Label")
plot.setYLabel("Y Label")
plot.hasLegend()
plot.save("errorbars.png")
for test in client_data:
if u'success' in test:
client_run.append(test[u'end_time'] - test[u'start_time'])
else:
client_run.append(0)
runs.append(client_run)
average_run = []
for i in range(0, len(runs[0])):
average_run.append(sum([a_run[i] for a_run in runs])/len(runs))
print average_run
plot = Plot()
for run in runs:
line = Line()
line.yValues = run
line.xValues = list(range(0, len(run)))
plot.add(line)
# Also add in the average line
avg_line = Line()
avg_line.yValues = average_run
avg_line.xValues = list(range(0, len(run)))
avg_line.color = 'r'
plot.add(avg_line)
plot.xLabel = "Test Index"
plot.yLabel = "Miliseconds"
plot.save(os.path.join(data_dir, "graph.png"))
for test in client_data:
if u'success' in test:
client_run.append(test[u'end_time'] - test[u'start_time'])
else:
client_run.append(0)
runs.append(client_run)
average_run = []
for i in range(0, len(runs[0])):
average_run.append(sum([a_run[i] for a_run in runs]) / len(runs))
print average_run
plot = Plot()
for run in runs:
line = Line()
line.yValues = run
line.xValues = list(range(0, len(run)))
plot.add(line)
# Also add in the average line
avg_line = Line()
avg_line.yValues = average_run
avg_line.xValues = list(range(0, len(run)))
avg_line.color = 'r'
plot.add(avg_line)
plot.xLabel = "Test Index"
plot.yLabel = "Miliseconds"
plot.save(os.path.join(data_dir, "graph.png"))
