Python Plot.setXLabel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 setXLabel [as 别名]
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)

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import setXLabel [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.setXLabel("X Label")
        plot.setYLabel("Y Label")
        plot.hasLegend()
        plot.setXLimits(-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 setXLabel [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.setXLabel("Widget ID")
        plot.setYLabel("# 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 setXLabel [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 setXLabel [as 别名]
    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)

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import setXLabel [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 setXLabel [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.grid.color = "#ff0000"
        plot.grid.style = "dotted"
        plot.grid.visible = True

        plot.save(self.imageName)

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

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import setXLabel [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.setXTickLabelSize(24)
        plot.setYTickLabelSize(36)
        plot.setAxesLabelSize(18)

        plot.setPlotParameters(bottom=0.14)

        plot.save(self.imageName)

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import setXLabel [as 别名]
    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.setXLabel(r"$x$")
        plot.setYLabel(r"$f(x) = x^2$")
        plot.setTitle(r"LaTeX is Number $\sum_{n=1}^{\infty}\frac{-e^{i\pi}}{2^n}$")
        plot.add(line)

        layout = PlotLayout()
        layout.useLatexLabels()
        layout.addPlot(plot)

        layout.setAxesLabelSize(18)
        layout.setPlotParameters(top=0.84)
        layout.save(self.imageName)

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import setXLabel [as 别名]
    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.setXLimits(0, 150)
        plot.setYLimits(-1, 1)
        plot.setXLabel("X")
        plot.setYLabel("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)

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import setXLabel [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.setXLabel("Shared X Axis")
        plot.setYLabel("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 setXLabel [as 别名]
    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)

# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import setXLabel [as 别名]
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)
#.........这里部分代码省略.........

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