你可以安装python的第三方应用 chartdirector, 如下面用python代码生成多个曲线的png图形，并可以自定义layout.
#!/usr/bin/python
from pychartdir import *
# The data for the line chart
data0 = [42, 49, 33, 38, 51, 46, 29, 41, 44, 57, 59, 52, 37, 34, 51, 56, 56, 60, 70,
76, 63, 67, 75, 64, 51]
data1 = [50, 55, 47, 34, 42, 49, 63, 62, 73, 59, 56, 50, 64, 60, 67, 67, 58, 59, 73,
77, 84, 82, 80, 84, 98]
data2 = [36, 28, 25, 33, 38, 20, 22, 30, 25, 33, 30, 24, 28, 15, 21, 26, 46, 42, 48,
45, 43, 52, 64, 60, 70]
# The labels for the line chart
labels = ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13",
"14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24"]
# Create an XYChart object of size 600 x 300 pixels, with a light blue (EEEEFF)
# background, black border, 1 pxiel 3D border effect and rounded corners
c = XYChart(600, 300, 0xeeeeff, 0x000000, 1)
c.setRoundedFrame()
# Set the plotarea at (55, 58) and of size 520 x 195 pixels, with white background.
# Turn on both horizontal and vertical grid lines with light grey color (0xcccccc)
c.setPlotArea(55, 58, 520, 195, 0xffffff, -1, -1, 0xcccccc, 0xcccccc)
# Add a legend box at (50, 30) (top of the chart) with horizontal layout. Use 9 pts
# Arial Bold font. Set the background and border color to Transparent.
c.addLegend(50, 30, 0, "arialbd.ttf", 9).setBackground(Transparent)
# Add a title box to the chart using 15 pts Times Bold Italic font, on a light blue
# (CCCCFF) background with glass effect. white (0xffffff) on a dark red (0x800000)
# background, with a 1 pixel 3D border.
c.addTitle("Application Server Throughput", "timesbi.ttf", 15).setBackground(
0xccccff, 0x000000, glassEffect())
# Add a title to the y axis
c.yAxis().setTitle("MBytes per hour")
# Set the labels on the x axis.
c.xAxis().setLabels(labels)
# Display 1 out of 3 labels on the x-axis.
c.xAxis().setLabelStep(3)
# Add a title to the x axis
c.xAxis().setTitle("Jun 12, 2006")
# Add a line layer to the chart
layer = c.addLineLayer2()
# Set the default line width to 2 pixels
layer.setLineWidth(2)
# Add the three data sets to the line layer. For demo purpose, we use a dash line
# color for the last line
layer.addDataSet(data0, 0xff0000, "Server #1")
layer.addDataSet(data1, 0x008800, "Server #2")
layer.addDataSet(data2, c.dashLineColor(0x3333ff, DashLine), "Server #3")
# Output the chart
c.makeChart("multiline.png")
使用Python代码执行自动化测试的用例, 会产生各种测试的数据, 比如运行的时间, 运行的结果值,各种有意义的临时数据等,我们需要把这些数据保存到容器中,便于对数据的使用和修改等操作, 而在Python中保存数据有多种容器,常用的就是列表,元组,字典和字符串了 ①把测试的数据保存到列表中,是很方便对数据进行查询和修改的, 原因是列表是Python中最为灵活也是作为常用的数据容器了,它提供了非常丰富的增删改查和排序等功能 ②在测试中经常会对一个人物或事物做一个详细的描述,这些描述信息一般使用字典来保存,原因是字典主要对一个人物或事物的属性特征进行保存的, 而且字典数据的格式一目了然, 便于查询③测试中为了保证的测试结果有效性,不能对测试的结果数据进行修改, 这些数据保存到哪里比较合适呢? 保存到元组中最为合适, 原因是元组中的数据不允许修改只能查看, 保证数据的有效性
④测试的数据中经常会遇到类似于家庭住址,人物姓名, 买家地址, 快递信息等数据, 这些一大串有中文有数字的信息数据,保存到哪里比较合适呢? 保存到字符串容器中最合适了, 字符串适合记录文本信息数据, 并且字符串提供了对文本数据非常丰富的操作方法
更高效的保存测试中的各种数据，Python中四大容器是必须掌握的，朋友在传智播客学的软件测试，现在月薪11.8K。
