Esempio n. 1
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    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)
Esempio n. 2
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    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)
Esempio n. 3
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    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)
Esempio n. 4
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    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)
Esempio n. 5
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    def constructImage(self):
        layout = PlotLayout()

        plotBase10 = Plot()
        plotBase10.loglog = True

        lineBase10 = Line()
        lineBase10.marker = 'x'
        lineBase10.xValues = [1, 10, 100, 1000, 10000]
        lineBase10.yValues = [1, 25, 140, 1024, 10342]

        plotBase10.add(lineBase10)

        plotBase2 = Plot()
        plotBase2.logx = True
        plotBase2.logbase = 2

        lineBase2 = Line()
        lineBase2.marker = 'x'
        lineBase2.xValues = [1, 2, 4, 8, 16, 32, 64]
        lineBase2.yValues = [1, 2, 3, 4, 5, 6, 7]

        plotBase2.add(lineBase2)


        layout.addPlot(plotBase10)
        layout.addPlot(plotBase2)

        layout.width = 2
        layout.save(self.imageName)
Esempio n. 6
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    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)
Esempio n. 7
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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
Esempio n. 8
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    def constructImage(self):
        line = Line()
        line.yValues = [25, 40, 30, 23, 10, 50]
        line.xValues = range(len(line.yValues))

        plot = Plot()
        plot.add(line)
        plot.xLabel = "X Label"
        plot.yLabel = "Y Label"
        plot.yLimits = (0, 60)
        plot.save(self.imageName)
Esempio n. 9
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    def constructImage(self):
        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(self.imageName)
Esempio n. 10
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        def generatePlot(stepType):
            line = Line()
            line.xValues = xVals
            line.yValues = yVals
            line.marker = 'o'
            line.stepFunction(stepType)

            plot = Plot()
            plot.add(line)
            plot.setTitle(r'"%s" Steps' % (stepType))
            plot.setXLimits(0, 6)
            plot.setYLimits(0, 6)

            return plot
Esempio n. 11
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    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)
Esempio n. 12
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    def constructImage(self):
        plot = Plot()

        line = Line()
        line.xValues = xrange(100)
        line.xTickLabels = [
            "Whoa this label is really long why is this label so long"
        ]
        line.xTickLabelPoints = [42]
        line.xTickLabelProperties["rotation"] = 45
        line.yValues = [math.sin(x) for x in xrange(100)]
        line.yTickLabels = ["Look at this value. Pretty sweet value right?"]
        line.yTickLabelPoints = [0.3]

        plot.add(line)
        plot.setXLabel("Value")
        plot.setYLabel("sin(Value)")

        plot.save(self.imageName)
Esempio n. 13
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    def constructImage(self):
        plot = Plot()

        line = Line()
        line.yValues = [25, 40, 30, 23, 10, 50]
        line.xValues = range(len(line.yValues))

        plot.add(line)
        plot.xLabel = "X Label"
        plot.yLabel = "Y Label"
        plot.yLimits = (0, 60)

        plot.grid.color = "#ff0000"
        plot.grid.style = "dotted"
        plot.grid.visible = True

        plot.save(self.imageName)
Esempio n. 14
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    def constructImage(self):
        plot = Plot()

        line = Line()
        line.xValues = xrange(100)
        line.xTickLabels = ["Whoa this label is really long why is this label so long"]
        line.xTickLabelPoints = [42]
        line.xTickLabelProperties["rotation"] = 45
        line.yValues = [math.sin(x) for x in xrange(100)]
        line.yTickLabels = ["Look at this value. Pretty sweet value right?"]
        line.yTickLabelPoints = [0.3]

        plot.add(line)
        plot.setXLabel("Value")
        plot.setYLabel("sin(Value)")

        plot.save(self.imageName)
Esempio n. 15
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    def constructImage(self):
        plot = Plot()
        plot.projection = 'polar'

        r = arange(0,1,0.001)
        theta = 2*2*pi*r

        line = Line()
        line.xValues = theta
        line.yValues = r
        plot.add(line)
        plot.save(self.imageName)
Esempio n. 16
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    def constructImage(self):
        line = Line()
        line.xValues = [2, 1, 3, 4, 0]
        line.yValues = [2, 1, 3, 4, 0]

        plot = Plot()
        plot.add(line)

        plot.save(self.imageName)
Esempio n. 17
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    def constructImage(self):
        plot = Plot()

        line = Line()
        line.yValues = [25, 40, 30, 23, 10, 50]
        line.xValues = range(len(line.yValues))

        plot.add(line)
        plot.xLabel = "X Label"
        plot.yLabel = "Y Label"
        plot.yLimits = (0, 60)

        plot.grid.color = "#ff0000"
        plot.grid.style = "dotted"
        plot.grid.visible = True

        plot.save(self.imageName)
Esempio n. 18
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    def constructImage(self):
        line = Line()
        line.xValues = numpy.arange(0, 150, 0.01)
        line.yValues = numpy.cos(.02 * numpy.pi * line.xValues)

        plot = Plot()
        plot.add(line)
        plot.xLimits = (0, 150)
        plot.yLimits = (-1, 1)
        plot.xLabel = "X"
        plot.yLabel = "cos(X)"
        splitPlots = plot.split(2)

        layout = PlotLayout()
        layout.width = 2
        layout.addPlot(plot, grouping="unsplit")

        for s in splitPlots:
            layout.addPlot(s, grouping="splits")

        layout.save(self.imageName)
Esempio n. 19
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        def generatePlot(stepType):
            line = Line()
            line.xValues = xVals
            line.yValues = yVals
            line.marker = 'o'
            line.stepFunction(stepType)

            plot = Plot()
            plot.add(line)
            plot.title = r'"%s" Steps' % (stepType)
            plot.xLimits = (0, 6)
            plot.yLimits = (0, 6)

            return plot
Esempio n. 20
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    def constructImage(self):
        line1 = Line()
        line2 = Line()
        line3 = Line()

        line1.xValues = range(0,10)
        line1.yValues = [2,5,2,3,2,2,1,0,1,0]
        line2.xValues = range(0,10)
        line2.yValues = [3,1,2,3,2,1,5,3,1,7]
        line3.xValues = range(0,10)
        line3.yValues = [2,1,3,1,3,4,1,4,5,0]

        stack = StackedLines()
        stack.addLine(line1, "red")
        stack.addLine(line2, "green")
        stack.addLine(line3, "blue")

        plot = Plot()
        plot.setYLimits(0, 7)
        plot.setXLimits(0, 9)
        plot.add(stack)
        plot.save(self.imageName)
Esempio n. 21
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    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)
Esempio n. 22
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    def constructImage(self):
        line = Line()
        line.xValues = numpy.arange(0, 150, 0.01)
        line.yValues = numpy.cos(.02 * numpy.pi * line.xValues)

        plot = Plot()
        plot.add(line)
        plot.xLimits = (0, 150)
        plot.yLimits = (-1, 1)
        plot.xLabel = "X"
        plot.yLabel = "cos(X)"
        splitPlots = plot.split(2)

        layout = PlotLayout()
        layout.width = 2
        layout.addPlot(plot, grouping="unsplit")

        for s in splitPlots:
            layout.addPlot(s, grouping="splits")

        layout.save(self.imageName)
Esempio n. 23
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    def constructImage(self):
        line1 = Line()
        line2 = Line()
        line3 = Line()

        line1.xValues = range(0, 10)
        line1.yValues = [2, 5, 2, 3, 2, 2, 1, 0, 1, 0]
        line2.xValues = range(0, 10)
        line2.yValues = [3, 1, 2, 3, 2, 1, 5, 3, 1, 7]
        line3.xValues = range(0, 10)
        line3.yValues = [2, 1, 3, 1, 3, 4, 1, 4, 5, 0]

        stack = StackedLines()
        stack.addLine(line1, "red")
        stack.addLine(line2, "green")
        stack.addLine(line3, "blue")

        plot = Plot()
        plot.xLimits = (0, 9)
        plot.yLimits = (0, 7)
        plot.add(stack)
        plot.save(self.imageName)
Esempio n. 24
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    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)
Esempio n. 25
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    return trial_data


def time_of_trial(data):
    return (data[u"end_time"] - data[u"start_time"]) if u"success" in data else 1000000


def times_of_trials(trial_datas):
    return [time_of_trial(data) for data in trial_datas]


root_dir = sys.argv[1] if len(sys.argv) >= 2 else "results"

dirs = os.listdir(root_dir)
sort_nicely(dirs)
num_tests = len(dirs)
avg_test_times = [avg_time_for_test(os.path.join(root_dir, a_dir)) for a_dir in dirs]

plot = Plot()

x_vals = [int(a_dir.split("-")[0]) for a_dir in dirs]

line = Line()
line.yValues = avg_test_times
line.xValues = x_vals
plot.add(line)

plot.xLabel = "# Clients"
plot.yLabel = "Miliseconds"
plot.save("mega_graph.png")
Esempio n. 26
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    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)
Esempio n. 27
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def histogram_plot(experiment_log_dir, plot_spec_string, output_filename,
                   has_legend, x_limit, verbose):
    queries = [
        plot_utils.plot_spec_string_to_query(plot_spec_string, 0, "HIST")
    ]

    plot_data = metaprogram_utils.process_queries(queries, experiment_log_dir,
                                                  verbose)

    if "plot_points" not in plot_data:
        warnings.warn("No data to plot!")
        return

    histogram_data = plot_data["plot_points"][0]

    cumulative_histogram = {}

    layout = PlotLayout()
    layout.dpi = 250

    for stat_name in histogram_data:
        plot = Plot()
        plot.setTitle(stat_name)
        if has_legend:
            plot.hasLegend(labelSize=8)

        if x_limit is not None:
            plot.setXLimits(0, x_limit)

        style_plot(plot, stat_name)

        for key, points in sorted(histogram_data[stat_name].items()):
            for size, count in itertools.izip(points["bin"], points["count"]):
                if size not in cumulative_histogram:
                    cumulative_histogram[size] = 0
                cumulative_histogram[size] += count

            line = Line()
            line.stepFunction("pre")
            line.label = str(key)
            line.xValues = points["bin"]
            line.yValues = points["count"]
            plot.add(line)

        layout.addPlot(plot)

        cumulative_plot = Plot()

        if x_limit is not None:
            cumulative_plot.setXLimits(0, x_limit)

        cumulative_plot.setTitle("Cumulative Histogram for " + stat_name)
        style_plot(cumulative_plot, stat_name)
        line = Line()
        line.stepFunction("pre")
        line.xValues = sorted(cumulative_histogram.keys())
        line.yValues = [cumulative_histogram[key] for key in line.xValues]

        cumulative_plot.add(line)
        layout.addPlot(cumulative_plot)
    layout.save(output_filename)
Esempio n. 28
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    def constructImage(self):
        plot = Plot()

        line = Line()
        line.yValues = [25, 40, 30, 23, 10, 50]
        line.xValues = range(len(line.yValues))

        plot.add(line)
        plot.setXLabel("X Label")
        plot.setYLabel("Y Label")
        plot.setYLimits(0, 60)

        plot.save(self.imageName)
Esempio n. 29
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#!/usr/bin/env python

from boomslang import Line, Plot

plot = Plot()

for i in xrange(6):
    line = Line()
    line.xValues = xrange(5)
    line.yValues = [(i+1) * x for x in line.xValues]
    line.label = "Line %d" % (i + 1)
    plot.add(line)

plot.addLineColor("red")
plot.addLineColor("blue")
plot.addLineStyle("-")
plot.addLineStyle("--")
plot.addLineStyle(":")
plot.hasLegend(columns=2)
plot.save("linestyles.png")
Esempio n. 30
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    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)
Esempio n. 31
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#!/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")
Esempio n. 32
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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("stackedbar.png")
Esempio n. 33
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    def testExactSize(self):
        plot = Plot()
        line = Line()
        plot.setDimensions(3, 4)

        line.xValues = range(5)
        line.yValues = range(5)

        plot.add(line)
        plot.save(self.imageName)

        im = Image.open(self.imageName)
        self.assertEqual(im.size, (300, 400))

        plot.setDimensions(3, 4, dpi=250)

        plot.save(self.imageName)
        im = Image.open(self.imageName)
        self.assertEqual(im.size, (750, 1000))
Esempio n. 34
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    def constructImage(self):
        plot = Plot()

        for i in xrange(24):
            line = Line()
            line.xValues = xrange(5)
            line.yValues = [(i + 1) * x for x in line.xValues]
            line.label = "Line %d" % (i + 1)
            plot.add(line)

        plot.addLineColor("red")
        plot.addLineColor("blue")
        plot.addLineStyle("-")
        plot.addLineStyle("dashed")
        plot.addLineStyle("dotted")
        plot.addMarker('none')
        plot.addMarker('x')
        plot.addMarker('o')
        plot.hasLegend(columns=2)
        plot.setLegendLabelSize(8)
        plot.save(self.imageName)
Esempio n. 35
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    def constructImage(self):
        plot = Plot()

        line = Line()
        line.yValues = [25, 40, 30, 23, 10, 50]
        line.xValues = range(len(line.yValues))

        plot.add(line)
        plot.xLabel = "X Label"
        plot.yLabel = "Y Label"
        plot.yLimits = (0, 60)

        plot.xTickLabelSize = 24
        plot.yTickLabelSize = 36
        plot.axesLabelSize = 18
        plot.tight = True

        plot.save(self.imageName)
Esempio n. 36
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    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)
Esempio n. 37
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    def constructImage(self):
        bnw = BoxAndWhisker()
        bnw.label = "Whiskers"

        sequences = [[
            0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
            0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
            0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
            0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
            0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
        ],
                     [
                         3, 8, 9, 5, 6, 8, 5, 9, 4, 2, 2, 5, 9, 8, 6, 2, 5, 2,
                         6, 9, 5, 5, 6, 4, 9, 5, 3, 6, 6, 8, 9, 2, 9, 1, 4, 9,
                         2, 5, 7, 7, 8, 2, 3, 7, 2, 1, 8, 3, 9, 9, 6, 7, 5, 2,
                         1, 9, 9, 5, 4, 5, 3, 9, 4, 3, 5, 2, 6, 8, 7, 1, 1, 9,
                         4, 9, 2, 8, 5, 9, 9, 9, 4, 9, 4, 8, 1, 2, 8, 6, 6, 9,
                         7, 9, 3, 5, 4, 7, 7, 9, 5, 4
                     ],
                     [
                         14, 9, 5, 1, 7, 14, 6, 5, 3, 4, 19, 5, 4, 13, 14, 10,
                         1, 7, 15, 5, 2, 1, 14, 10, 15, 2, 1, 2, 17, 15, 15, 5,
                         15, 7, 3, 8, 11, 17, 4, 11, 14, 12, 4, 1, 19, 3, 2, 2,
                         11, 11, 4, 11, 10, 16, 3, 11, 5, 12, 6, 17, 13, 4, 12,
                         1, 2, 9, 11, 19, 4, 16, 10, 6, 8, 18, 9, 12, 14, 14,
                         16, 16, 13, 13, 12, 19, 2, 4, 12, 8, 10, 4, 13, 16, 4,
                         9, 12, 17, 11, 18, 5, 14
                     ],
                     [
                         23, 7, 14, 5, 10, 15, 14, 17, 27, 16, 3, 7, 10, 21, 8,
                         17, 20, 24, 19, 9, 20, 14, 1, 8, 10, 26, 28, 3, 13, 2,
                         7, 1, 18, 24, 25, 27, 2, 14, 27, 10, 22, 28, 12, 1,
                         14, 4, 13, 10, 14, 26, 21, 13, 4, 5, 1, 16, 15, 9, 19,
                         24, 29, 4, 27, 19, 17, 1, 21, 23, 28, 28, 3, 28, 21,
                         22, 1, 14, 28, 28, 2, 16, 24, 21, 2, 27, 5, 9, 14, 20,
                         7, 20, 16, 13, 11, 17, 27, 22, 19, 28, 6, 25
                     ],
                     [
                         3, 36, 4, 3, 14, 13, 14, 36, 19, 24, 38, 32, 26, 14,
                         25, 25, 16, 14, 19, 10, 5, 15, 37, 10, 4, 20, 6, 29,
                         22, 20, 14, 10, 17, 37, 26, 4, 13, 32, 18, 27, 7, 35,
                         20, 2, 2, 11, 18, 17, 18, 8, 36, 22, 39, 12, 6, 2, 21,
                         1, 33, 3, 30, 25, 1, 6, 17, 38, 22, 20, 20, 21, 34,
                         19, 14, 13, 10, 30, 39, 8, 30, 25, 37, 6, 33, 10, 32,
                         17, 6, 32, 5, 34, 27, 21, 29, 15, 3, 30, 15, 28, 15,
                         37
                     ],
                     [
                         43, 4, 5, 29, 17, 10, 7, 31, 12, 9, 33, 42, 6, 43, 25,
                         32, 9, 4, 42, 25, 37, 45, 23, 6, 46, 1, 49, 8, 39, 34,
                         31, 14, 42, 49, 37, 40, 6, 37, 27, 36, 4, 45, 30, 14,
                         19, 38, 28, 43, 14, 24, 36, 43, 18, 36, 36, 12, 31,
                         44, 43, 21, 42, 3, 2, 13, 37, 47, 9, 12, 35, 46, 45,
                         14, 24, 20, 42, 3, 9, 8, 46, 32, 11, 24, 36, 47, 11,
                         39, 31, 6, 34, 48, 45, 38, 27, 42, 5, 30, 19, 20, 18,
                         9
                     ],
                     [
                         22, 57, 14, 54, 52, 54, 2, 47, 5, 9, 47, 55, 27, 41,
                         6, 23, 58, 23, 28, 17, 16, 12, 6, 47, 12, 36, 28, 15,
                         49, 42, 6, 23, 6, 34, 31, 36, 11, 38, 31, 42, 30, 18,
                         30, 40, 12, 16, 52, 23, 47, 10, 19, 15, 28, 20, 18,
                         35, 21, 29, 25, 41, 15, 34, 2, 11, 58, 15, 22, 17, 16,
                         49, 43, 30, 1, 30, 33, 46, 25, 21, 20, 42, 42, 44, 21,
                         3, 41, 44, 52, 52, 8, 50, 41, 3, 12, 19, 53, 47, 26,
                         2, 49, 14
                     ],
                     [
                         53, 9, 51, 39, 36, 61, 61, 20, 35, 4, 43, 18, 46, 61,
                         8, 51, 26, 5, 8, 2, 49, 33, 35, 22, 5, 59, 65, 16, 44,
                         60, 43, 4, 54, 48, 1, 48, 43, 28, 60, 49, 39, 39, 37,
                         57, 32, 68, 8, 51, 38, 25, 1, 28, 16, 60, 2, 42, 58,
                         8, 49, 59, 59, 64, 63, 44, 26, 20, 18, 52, 64, 58, 35,
                         53, 30, 69, 6, 58, 5, 15, 20, 43, 61, 19, 57, 45, 51,
                         23, 67, 55, 21, 33, 30, 1, 41, 35, 61, 24, 42, 24, 18,
                         57
                     ],
                     [
                         12, 29, 23, 7, 24, 26, 65, 38, 73, 11, 72, 23, 68, 28,
                         2, 52, 33, 50, 51, 29, 24, 18, 24, 23, 63, 65, 71, 30,
                         27, 19, 11, 24, 55, 64, 51, 64, 21, 15, 2, 39, 16, 59,
                         31, 44, 25, 46, 33, 20, 53, 24, 45, 64, 10, 67, 69,
                         29, 12, 59, 27, 41, 77, 61, 8, 24, 15, 66, 71, 75, 65,
                         56, 58, 63, 33, 63, 17, 1, 41, 17, 7, 38, 65, 44, 76,
                         21, 38, 46, 38, 15, 52, 69, 69, 50, 32, 46, 11, 59,
                         26, 14, 68, 57
                     ],
                     [
                         17, 37, 8, 75, 88, 15, 4, 57, 12, 68, 37, 54, 75, 39,
                         39, 36, 66, 75, 46, 80, 14, 54, 83, 2, 28, 13, 66, 51,
                         84, 63, 66, 83, 66, 76, 48, 61, 46, 53, 36, 12, 16,
                         68, 3, 21, 38, 18, 75, 34, 2, 17, 25, 33, 16, 16, 59,
                         47, 16, 75, 60, 73, 44, 61, 9, 43, 18, 38, 67, 67, 89,
                         43, 78, 89, 37, 22, 33, 77, 79, 71, 45, 71, 49, 80,
                         83, 53, 62, 29, 88, 84, 71, 14, 69, 21, 75, 56, 55,
                         79, 31, 75, 30, 42
                     ]]

        xSequence = []

        for i in range(10):
            xSequence.append(sequences[i])

        bnw.xSequence = xSequence

        plot = Plot()
        plot.hasLegend()
        plot.add(bnw)
        plot.save(self.imageName)
    def constructImage(self):
        line = Line()
        line.xValues = range(5)
        line.yValues = [2, 3, 5, 7, 9]
        line.label = "A Line"

        linePlot1 = Plot()
        linePlot1.title = "Small Legend"
        linePlot1.add(line)
        linePlot1.hasLegend()
        linePlot1.legendLabelSize = 10

        linePlot2 = Plot()
        linePlot2.title = "Large Legend"
        linePlot2.add(line)
        linePlot2.hasLegend()
        linePlot2.legendLabelSize = 30

        linePlot3 = Plot()
        linePlot3.title = "Inherited from Layout"
        linePlot3.add(line)
        linePlot3.hasLegend()

        layout = PlotLayout()
        layout.width = 2
        layout.addPlot(linePlot1)
        layout.addPlot(linePlot2)
        layout.addPlot(linePlot3)
        layout.legendLabelSize = 15

        layout.save(self.imageName)
Esempio n. 39
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def plotExperiments(script_arguments_file):
    script_arguments_fp = open(script_arguments_file, "r")
    script_arguments = json.load(script_arguments_fp)
    script_arguments_fp.close()

    disk = script_arguments["disk"]

    sort_strategies = script_arguments["sort_strategies"]
    max_key_lengths = map(int, script_arguments["max_key_lengths"])
    max_value_lengths = map(int, script_arguments["max_value_lengths"])
    pareto_as = map(float, script_arguments["pareto_as"])
    pareto_bs = map(int, script_arguments["pareto_bs"])
    byte_counts = map(int, script_arguments["byte_counts"])
    timeout = script_arguments["timeout"]

    experiments = [(sort_strategy, max_key_length, max_value_length, pareto_a,
                    pareto_b, byte_count) for sort_strategy in sort_strategies
                   for max_key_length in max_key_lengths
                   for max_value_length in max_value_lengths
                   for pareto_a in pareto_as for pareto_b in pareto_bs
                   for byte_count in byte_counts]

    # Open each file and store information about the experiment
    file_id = 0
    experiment_outcomes = {}
    for experiment in experiments:
        filename = os.path.join(disk, "stats_%d.json" % file_id)
        sort_time = None
        scratch_size = None
        if os.path.exists(filename):
            fp = open(filename, "r")
            try:
                stats_json = json.load(fp)
                # time might not be present if the run timed out
                if "time" in stats_json:
                    # sort time in seconds
                    sort_time = stats_json["time"] / 1000000.0
                # scratch size in megabytes
                scratch_size = stats_json["scratch_size"] / 1000000.0
            except ValueError:
                # If the JSON somehow doesn't parse, just skip this file
                pass
        experiment_outcomes[experiment] = (sort_time, scratch_size)
        file_id += 1

    # Specify colors manually so we can sync up a line to its scatter
    colors = ["red", "green", "blue", "teal", "orange"]
    if len(sort_strategies) > len(colors):
        print >> sys.stderr, "Only %d colors but %d lines" % (
            len(colors), len(sort_strategies))
        sys.exit(1)

    # Plot sort time vs scratch size
    plot = Plot()
    plot.setXLabel("Scratch Size (MB)")
    plot.setYLabel("Sort Time (s)")
    plot.hasLegend(labelSize=8, columns=3)
    plot.setTitle("Sort Time vs Scratch Size")

    lines = {}
    for (sort_strategy, color) in zip(sort_strategies, colors):
        line = LineAndScatter(sort_strategy, color)
        lines[sort_strategy] = line

    for experiment, (sort_time, scratch_size) in \
            experiment_outcomes.iteritems():
        # Mark this experiment on the line corresponding to its sort strategy
        line = lines[experiment[0]]
        if scratch_size is not None:
            line.add_point(scratch_size, sort_time)

    map(lambda l: l.add_to_plot(plot), lines.values())

    layout = PlotLayout()
    layout.addPlot(plot)
    output_file = os.path.join(disk, "SortTimeVsScratchSize.pdf")
    layout.save(output_file)

    # Plot Sort time vs Scratch Size of a particular strategy:
    # First sort the experiments by sort strategy
    strategy_outcomes = {}
    for experiment in experiments:
        sort_strategy = experiment[0]
        parameters = experiment[1:]
        if parameters not in strategy_outcomes:
            strategy_outcomes[parameters] = {}
        strategy_outcomes[parameters][sort_strategy] = \
            experiment_outcomes[experiment]

    # Create one plot per strategy, with that strategy's scratch size
    # on the x-axis
    layout = PlotLayout()
    for major_sort_strategy in sort_strategies:
        # Set up plot boilerplate
        plot = Plot()
        plot.setXLabel("Scratch Size of %s (MB)" % (major_sort_strategy))
        plot.setYLabel("Sort Time (s)")
        plot.hasLegend(labelSize=8, columns=3)
        plot.setTitle("Sort Time vs Scratch Size of %s" %
                      (major_sort_strategy))

        lines = {}
        for (sort_strategy, color) in zip(sort_strategies, colors):
            line = LineAndScatter(sort_strategy, color)
            lines[sort_strategy] = line
        # For each configuration, plot the sort times on the y axis, and the
        # scratch time for the major_sort_strategy on the x-axis
        for outcome_by_strategy in strategy_outcomes.values():
            scratch_size = outcome_by_strategy[major_sort_strategy][1]
            if scratch_size is not None:
                # Plot the sort time of each strategy using this scratch
                # As the x-axis value.
                for sort_strategy in sort_strategies:
                    sort_time = outcome_by_strategy[sort_strategy][0]
                    lines[sort_strategy].add_point(scratch_size, sort_time)

        map(lambda l: l.add_to_plot(plot), lines.values())

        layout.addPlot(plot)
    output_file = os.path.join(disk, "SortTimeVsScratchSizeByStrategy.pdf")
    layout.save(output_file)

    # Plot individual parameter graphs using median parameters
    median_max_key_length = median(max_key_lengths)
    median_max_value_length = median(max_value_lengths)
    median_pareto_a = median(pareto_as)
    median_pareto_b = median(pareto_bs)
    median_byte_count = median(byte_counts)

    for (parameter_name, x_label, parameter_values, fixed_parameters) in [
        ("MaxKeyLength", "Max Key Length (bytes)", max_key_lengths,
         (None, median_max_value_length, median_pareto_a, median_pareto_b,
          median_byte_count)),
        ("MaxValueLength", "Max Value Length (bytes)", max_value_lengths,
         (median_max_key_length, None, median_pareto_a, median_pareto_b,
          median_byte_count)),
        ("ParetoA", "Pareto A", pareto_as,
         (median_max_key_length, median_max_value_length, None,
          median_pareto_b, median_byte_count)),
        ("ParetoB", "Pareto B (bytes)", pareto_bs,
         (median_max_key_length, median_max_value_length, median_pareto_a,
          None, median_byte_count)),
        ("FileSize", "File Size (bytes)", byte_counts,
         (median_max_key_length, median_max_value_length, median_pareto_a,
          median_pareto_b, None))
    ]:

        time_plot = Plot()
        size_plot = Plot()
        for (plot, label, unit) in [(time_plot, "Sort Time", "s"),
                                    (size_plot, "Scratch Size", "MB")]:
            plot.setXLabel(x_label)
            plot.setYLabel("%s (%s)" % (label, unit))
            plot.hasLegend(labelSize=8, columns=3)
            plot.setTitle("%s vs %s" % (label, parameter_name))

        for (sort_strategy, color) in zip(sort_strategies, colors):
            # Each sort strategy has its own line on each of the two plots
            time_line = LineAndScatter(sort_strategy, color)
            size_line = LineAndScatter(sort_strategy, color)

            # Compute the set of parameters corresponding to this experiment.
            for parameter in parameter_values:
                # Apply this parameter to the None value in the tuple of
                # fixed parameters.
                parameters = [sort_strategy]
                for fixed_parameter in fixed_parameters:
                    if fixed_parameter is None:
                        parameters.append(parameter)
                    else:
                        parameters.append(fixed_parameter)

                # Plot sort time and scratch size for this experiment
                (sort_time,
                 scratch_size) = experiment_outcomes[tuple(parameters)]

                time_line.add_point(parameter, sort_time)
                size_line.add_point(parameter, scratch_size)

            # Add lines to plots
            time_line.add_to_plot(time_plot)
            size_line.add_to_plot(size_plot)

        # Save the plot as a pdf
        layout = PlotLayout()
        layout.addPlot(time_plot)
        layout.addPlot(size_plot)
        output_file = os.path.join(disk, "%s.pdf" % (parameter_name))
        layout.save(output_file)
Esempio n. 40
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    def constructImage(self):
        line = Line()
        line.xValues = numpy.arange(0.0, 5.0, 0.01)
        line.yValues = numpy.cos(2 * numpy.pi * line.xValues)

        maxLabel = Label(2, 1, "Maximum!")
        maxLabel.textOffset = (0.5, 0.5)
        maxLabel.hasArrow()

        minLabel = Label(1.5, -1, "Minimum!")
        minLabel.textPosition = (1, -2)
        minLabel.hasArrow()

        randomLabel = Label(2, -1.7, "A Point!")
        randomLabel.textOffset = (0, 0.2)
        randomLabel.marker = 'o'

        styledLabel = Label(1.25,
                            1.2,
                            "A FancyPoint!",
                            bbox={
                                'edgecolor': 'red',
                                'facecolor': 'white',
                                'ls': 'dashed',
                                'lw': '2'
                            })
        styledLabel.textOffset = (0, 0.2)
        styledLabel.marker = 'o'

        plot = Plot()
        plot.add(line)
        plot.add(minLabel)
        plot.add(maxLabel)
        plot.add(randomLabel)
        plot.add(styledLabel)
        plot.yLimits = (-3, 3)
        plot.xLabel = "X"
        plot.yLabel = "cos(x)"
        plot.save("label.png")
        plot.save(self.imageName)
Esempio n. 41
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#!/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")
Esempio n. 42
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    def constructImage(self):
        bnw = BoxAndWhisker()
        bnw.label="Whiskers"

        sequences = [
            [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
             0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
             0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
             0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
             0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],

            [3, 8, 9, 5, 6, 8, 5, 9, 4, 2, 2, 5, 9, 8, 6, 2, 5, 2, 6, 9, 5, 5,
             6, 4, 9, 5, 3, 6, 6, 8, 9, 2, 9, 1, 4, 9, 2, 5, 7, 7, 8, 2, 3, 7,
             2, 1, 8, 3, 9, 9, 6, 7, 5, 2, 1, 9, 9, 5, 4, 5, 3, 9, 4, 3, 5, 2,
             6, 8, 7, 1, 1, 9, 4, 9, 2, 8, 5, 9, 9, 9, 4, 9, 4, 8, 1, 2, 8, 6,
             6, 9, 7, 9, 3, 5, 4, 7, 7, 9, 5, 4],

            [14, 9, 5, 1, 7, 14, 6, 5, 3, 4, 19, 5, 4, 13, 14, 10, 1, 7, 15, 5,
             2, 1, 14, 10, 15, 2, 1, 2, 17, 15, 15, 5, 15, 7, 3, 8, 11, 17, 4,
             11, 14, 12, 4, 1, 19, 3, 2, 2, 11, 11, 4, 11, 10, 16, 3, 11, 5,
             12, 6, 17, 13, 4, 12, 1, 2, 9, 11, 19, 4, 16, 10, 6, 8, 18, 9, 12,
             14, 14, 16, 16, 13, 13, 12, 19, 2, 4, 12, 8, 10, 4, 13, 16, 4, 9,
             12, 17, 11, 18, 5, 14],

            [23, 7, 14, 5, 10, 15, 14, 17, 27, 16, 3, 7, 10, 21, 8, 17, 20, 24,
             19, 9, 20, 14, 1, 8, 10, 26, 28, 3, 13, 2, 7, 1, 18, 24, 25, 27,
             2, 14, 27, 10, 22, 28, 12, 1, 14, 4, 13, 10, 14, 26, 21, 13, 4, 5,
             1, 16, 15, 9, 19, 24, 29, 4, 27, 19, 17, 1, 21, 23, 28, 28, 3, 28,
             21, 22, 1, 14, 28, 28, 2, 16, 24, 21, 2, 27, 5, 9, 14, 20, 7, 20,
             16, 13, 11, 17, 27, 22, 19, 28, 6, 25],

            [3, 36, 4, 3, 14, 13, 14, 36, 19, 24, 38, 32, 26, 14, 25, 25, 16,
             14, 19, 10, 5, 15, 37, 10, 4, 20, 6, 29, 22, 20, 14, 10, 17, 37,
             26, 4, 13, 32, 18, 27, 7, 35, 20, 2, 2, 11, 18, 17, 18, 8, 36, 22,
             39, 12, 6, 2, 21, 1, 33, 3, 30, 25, 1, 6, 17, 38, 22, 20, 20, 21,
             34, 19, 14, 13, 10, 30, 39, 8, 30, 25, 37, 6, 33, 10, 32, 17, 6,
             32, 5, 34, 27, 21, 29, 15, 3, 30, 15, 28, 15, 37],

            [43, 4, 5, 29, 17, 10, 7, 31, 12, 9, 33, 42, 6, 43, 25, 32, 9, 4,
             42, 25, 37, 45, 23, 6, 46, 1, 49, 8, 39, 34, 31, 14, 42, 49, 37,
             40, 6, 37, 27, 36, 4, 45, 30, 14, 19, 38, 28, 43, 14, 24, 36, 43,
             18, 36, 36, 12, 31, 44, 43, 21, 42, 3, 2, 13, 37, 47, 9, 12, 35,
             46, 45, 14, 24, 20, 42, 3, 9, 8, 46, 32, 11, 24, 36, 47, 11, 39,
             31, 6, 34, 48, 45, 38, 27, 42, 5, 30, 19, 20, 18, 9],

            [22, 57, 14, 54, 52, 54, 2, 47, 5, 9, 47, 55, 27, 41, 6, 23, 58,
             23, 28, 17, 16, 12, 6, 47, 12, 36, 28, 15, 49, 42, 6, 23, 6, 34,
             31, 36, 11, 38, 31, 42, 30, 18, 30, 40, 12, 16, 52, 23, 47, 10,
             19, 15, 28, 20, 18, 35, 21, 29, 25, 41, 15, 34, 2, 11, 58, 15, 22,
             17, 16, 49, 43, 30, 1, 30, 33, 46, 25, 21, 20, 42, 42, 44, 21, 3,
             41, 44, 52, 52, 8, 50, 41, 3, 12, 19, 53, 47, 26, 2, 49, 14],

            [53, 9, 51, 39, 36, 61, 61, 20, 35, 4, 43, 18, 46, 61, 8, 51, 26,
             5, 8, 2, 49, 33, 35, 22, 5, 59, 65, 16, 44, 60, 43, 4, 54, 48, 1,
             48, 43, 28, 60, 49, 39, 39, 37, 57, 32, 68, 8, 51, 38, 25, 1, 28,
             16, 60, 2, 42, 58, 8, 49, 59, 59, 64, 63, 44, 26, 20, 18, 52, 64,
             58, 35, 53, 30, 69, 6, 58, 5, 15, 20, 43, 61, 19, 57, 45, 51, 23,
             67, 55, 21, 33, 30, 1, 41, 35, 61, 24, 42, 24, 18, 57],

            [12, 29, 23, 7, 24, 26, 65, 38, 73, 11, 72, 23, 68, 28, 2, 52, 33,
             50, 51, 29, 24, 18, 24, 23, 63, 65, 71, 30, 27, 19, 11, 24, 55,
             64, 51, 64, 21, 15, 2, 39, 16, 59, 31, 44, 25, 46, 33, 20, 53, 24,
             45, 64, 10, 67, 69, 29, 12, 59, 27, 41, 77, 61, 8, 24, 15, 66, 71,
             75, 65, 56, 58, 63, 33, 63, 17, 1, 41, 17, 7, 38, 65, 44, 76, 21,
             38, 46, 38, 15, 52, 69, 69, 50, 32, 46, 11, 59, 26, 14, 68, 57],

            [17, 37, 8, 75, 88, 15, 4, 57, 12, 68, 37, 54, 75, 39, 39, 36, 66,
             75, 46, 80, 14, 54, 83, 2, 28, 13, 66, 51, 84, 63, 66, 83, 66, 76,
             48, 61, 46, 53, 36, 12, 16, 68, 3, 21, 38, 18, 75, 34, 2, 17, 25,
             33, 16, 16, 59, 47, 16, 75, 60, 73, 44, 61, 9, 43, 18, 38, 67, 67,
             89, 43, 78, 89, 37, 22, 33, 77, 79, 71, 45, 71, 49, 80, 83, 53,
             62, 29, 88, 84, 71, 14, 69, 21, 75, 56, 55, 79, 31, 75, 30, 42]
            ]

        xSequence = []

        for i in range(10):
            xSequence.append(sequences[i])

        bnw.xSequence = xSequence

        plot = Plot()
        plot.hasLegend()
        plot.add(bnw)
        plot.save(self.imageName)
Esempio n. 43
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    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)
Esempio n. 44
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def create_plot_objects_for_group(phase_name, group_name, min_timestamp,
                                  max_timestamp, make_legend):
    """
    Create and format two Boomslang plot objects: one for the time series plot,
    and the other for a CDF of the y-axis values in the time series. min and
    max timestamps are assumed to be adjusted with timestamp_adjuster (see
    below) before being passed as arguments
    """

    time_series_plot = Plot()
    time_series_plot.setXLimits(0, (max_timestamp - min_timestamp) / 1000000.0)
    time_series_plot.setXLabel("Time (s)")
    time_series_plot.setYLabel(group_name)
    cdf_plot = Plot()
    cdf_plot.setXLabel(group_name)
    cdf_plot.setYLabel("CDF")

    for plot in [time_series_plot, cdf_plot]:
        if make_legend:
            plot.hasLegend(labelSize=8, columns=2)

        plot.setTitle("Phase: %(phase_name)s, %(group_name)s" % {
            "phase_name": phase_name,
            "group_name": group_name
        })

        for color in [
                "red", "green", "blue", "teal", "orange", "purple", "brown",
                "black"
        ]:
            plot.addLineColor(color)

        for style in ["solid", "dashed", "dotted"]:
            plot.addLineStyle(style)

    return (time_series_plot, cdf_plot)
Esempio n. 45
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    def constructImage(self):

        line = Line()
        line.xValues = range(5)
        line.yValues = [2,3,5,7,9]
        line.label = "A Line"

        linePlot1 = Plot()
        linePlot1.setTitle("Small Legend")
        linePlot1.add(line)
        linePlot1.hasLegend()
        linePlot1.setLegendLabelSize(10)

        linePlot2 = Plot()
        linePlot2.setTitle("Large Legend")
        linePlot2.add(line)
        linePlot2.hasLegend()
        linePlot2.setLegendLabelSize(30)

        linePlot3 = Plot()
        linePlot3.setTitle("Inherited from Layout")
        linePlot3.add(line)
        linePlot3.hasLegend()

        layout = PlotLayout()
        layout.setWidth(2)
        layout.addPlot(linePlot1)
        layout.addPlot(linePlot2)
        layout.addPlot(linePlot3)
        layout.setLegendLabelSize(15)
        layout.setPlotParameters(left=0.03, bottom=0.03, right=0.98, top=0.94)

        layout.save(self.imageName)
Esempio n. 46
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#!/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)
Esempio n. 47
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        record_handle.close()

        client_run = []
        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"
Esempio n. 48
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        record_handle.close()

        client_run = []
        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"
Esempio n. 49
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#!/usr/bin/env python

from boomslang import Line, Plot

plot = Plot()

line = Line()
line.yValues = [25, 40, 30, 23, 10, 50]
line.xValues = range(len(line.yValues))

plot.add(line)
plot.setXLabel("X Label")
plot.setYLabel("Y Label")
plot.setYLimits(0, 60)

plot.save("simpleline.png")
Esempio n. 50
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    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)
Esempio n. 51
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    def constructImage(self):
        line = Line()
        line.xValues = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
        line.yValues = [0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 100]

        plot = Plot()
        plot.useLatexLabels()
        plot.xLabel = r"$x$"
        plot.yLabel = r"$f(x) = x^2$"
        plot.title = (r"LaTeX is Number $\sum_{n=1}^{\infty}"
                      r"\frac{-e^{i\pi}}{2^n}$")
        plot.add(line)
        plot.tight = True
        plot.axesLabelSize = 18
        plot.save(self.imageName)
Esempio n. 52
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    def constructImage(self):
        plot = Plot()

        line = Line()
        line.yValues = [25, 40, 30, 23, 10, 50]
        line.xValues = range(len(line.yValues))
        line.xTickLabels = ["X 1", "X 2", "X 3", "X 4", "X 5"]
        line.yTickLabels = ["Y Ten", "Y Twenty", "Y Thirty", "Y Forty",
                            "Y Fifty", "Y Sixty"]
        line.yTickLabelPoints = [10, 20, 30, 40, 50, 60]

        # You can set tick label properties with a dictionary ...

        line.xTickLabelProperties = {
            "color" : "blue",
            "weight" : "bold",
            "rotation" : 45
            }

        line.yTickLabelProperties = {
            "style" : "italic",
            "alpha" : 0.5,
            "color" : "red"
            }

        # (clearing for demonstrative purposes)
        line.xTickLabelProperties.clear()
        line.yTickLabelProperties.clear()

        # You can also set by direct elementwise access

        line.xTickLabelProperties["color"] = "blue"
        line.xTickLabelProperties["weight"] = "bold"
        line.xTickLabelProperties["rotation"] = "45"

        line.yTickLabelProperties["style"] = "italic"
        line.yTickLabelProperties["alpha"] = 0.5
        line.yTickLabelProperties["color"] = "red"

        plot.add(line)
        plot.setTitle("Craaazy Title")
        plot.setTitleProperties(style="italic", weight="bold", rotation="5",
                                color="orange")
        plot.setXLabel("X Label")
        plot.setYLabel("Y Label")
        plot.setYLimits(0, 60)

        plot.setPlotParameters(bottom=.15, left=0.15)

        plot.save(self.imageName)