Python Plot.hasLegend方法代码示例

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import hasLegend [as 别名]
    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)

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import hasLegend [as 别名]
    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)

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import hasLegend [as 别名]
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)

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import hasLegend [as 别名]
    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)

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import hasLegend [as 别名]
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)

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import hasLegend [as 别名]
    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)

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import hasLegend [as 别名]
    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)

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import hasLegend [as 别名]
def latency(output_graph_filename, csv_file_dir_list):
    """
    Plots three graphs side-by-side. First, redis performance; second, pkt-in
    latency; third, pkt-out latency.
    
    """
    layout = PlotLayout()
    redis_plot = Plot()
    pkt_in_plot = Plot()
    flow_mod_plot = Plot()

    redis_plot.yLabel = 'CDF'
    flow_mod_plot.hasLegend(location='lower right')
    flow_mod_plot.legendLabelSize = 12
        
    redis_plot.xLabel = '(a) Query completion time (ms)'
    pkt_in_plot.xLabel = '(b) Switch processing time for ingress (ms)'
    flow_mod_plot.xLabel = '(c) Switch processing time for egress (ms)'
    
    for csv_dir in csv_file_dir_list:
        
        color = colors.pop(0)
        line_style = line_styles.pop(0)
        line_label = csv_dir.split('/')[-2]
        attr_dict = {'color': color, 'label': capitalize(line_label), 
                     'yLimits': (0, 1), 'lineStyle': line_style}
        
        redis_line = get_line_from_csv(os.path.join(csv_dir, 'async_redis_latency.csv'), 
                                       xLimits=(0,400), **attr_dict) 
        pkt_in_line = get_line_from_csv(os.path.join(csv_dir, 'pkt_in_durations.csv'), 
                                        xLimits=(0,140), **attr_dict) 
        flow_mod_line = get_line_from_csv(os.path.join(csv_dir, 'flow_mod_durations.csv'), 
                                          xLimits=(0,140), **attr_dict)         
        redis_plot.add(redis_line)
        pkt_in_plot.add(pkt_in_line)
        flow_mod_plot.add(flow_mod_line)

    
    layout.addPlot(redis_plot)
    layout.addPlot(pkt_in_plot)
    layout.addPlot(flow_mod_plot)
    layout.width = 3
    layout.setPlotDimensions(4.5,4.5*0.618)
    
    layout.save('data/graphs/' + output_graph_filename + '.pdf')
    print 'Done.'

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import hasLegend [as 别名]
    def constructImage(self):

        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.addLineColor("green")
        plot.addMarker("")
        plot.addMarker("x")
        plot.hasLegend(columns=2)
        plot.save(self.imageName)

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import hasLegend [as 别名]
    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)

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import hasLegend [as 别名]
    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)

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import hasLegend [as 别名]
    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)

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import hasLegend [as 别名]
    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)

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import hasLegend [as 别名]
    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)

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import hasLegend [as 别名]
#!/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")