Python Plot.save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 save [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 save [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 save [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 save [as 别名]
    def constructImage(self):
        lines = []

        for i in xrange(3):
            line = Line()
            line.xValues = xrange(5)
            line.yValues = [(i+1 / 2.0) *  pow(x, i+1) for x in line.xValues]
            line.label = "Line %d" % (i + 1)
            lines.append(line)

        plot = Plot()
        plot.add(lines[0])

        inset = Plot()
        inset.add(lines[1])
        inset.hideTickLabels()
        inset.setTitle("Inset in Yo Inset\nSo You Can Inset\nWhile You Inset")

        insideInset = Plot()
        insideInset.hideTickLabels()
        insideInset.add(lines[2])

        inset.addInset(insideInset, width=0.4, height=0.3,
                       location="upper left")

        plot.addInset(inset, width=0.4, height=0.4, location="lower right")

        plot.save(self.imageName)

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