本文整理汇总了Python中boomslang.Plot.yLimits方法的典型用法代码示例。如果您正苦于以下问题:Python Plot.yLimits方法的具体用法?Python Plot.yLimits怎么用?Python Plot.yLimits使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类boomslang.Plot
的用法示例。
在下文中一共展示了Plot.yLimits方法的10个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: constructImage
# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import yLimits [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.yLimits = (0, 15)
plot.hasLegend()
plot.save(self.imageName)
示例2: main
# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import yLimits [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)
示例3: constructImage
# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import yLimits [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)
示例4: generatePlot
# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import yLimits [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
示例5: constructImage
# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import yLimits [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.title = "Craaazy Title"
plot.setTitleProperties(
style="italic", weight="bold", rotation="5",
color="orange")
plot.xLabel = "X Label"
plot.yLabel = "Y Label"
plot.yLimits = (0, 60)
plot.tight = True
plot.save(self.imageName)
示例6: constructImage
# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import yLimits [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.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)
示例7: constructImage
# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import yLimits [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.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)
示例8: constructImage
# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import yLimits [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.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)
示例9: constructImage
# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import yLimits [as 别名]
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)
示例10: constructImage
# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import yLimits [as 别名]
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)