本文整理汇总了Python中boomslang.Plot.axesLabelSize方法的典型用法代码示例。如果您正苦于以下问题：Python Plot.axesLabelSize方法的具体用法？Python Plot.axesLabelSize怎么用？Python Plot.axesLabelSize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.axesLabelSize方法的3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: main
# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import axesLabelSize [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2: constructImage
# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import axesLabelSize [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3: constructImage
# 需要导入模块: from boomslang import Plot [as 别名]
# 或者: from boomslang.Plot import axesLabelSize [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.xLabel = r"$x$"
plot.yLabel = r"$f(x) = x^2$"
plot.title = (
r"LaTeX is Number $\sum_{n=1}^{\infty}"
r"\frac{-e^{i\pi}}{2^n}$")
plot.add(line)
plot.tight = True
plot.axesLabelSize = 18
plot.save(self.imageName)