Python Plot.add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 add [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 add [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 add [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 add [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 add [as 别名]
    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)

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

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

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

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

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

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

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

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