使用正则表达式从数据集中提取数据

Question

我有这个数据集:

LP3I22- M5
01174c-qbFD.raw
L2P2 + p LPI Full ms [150.00-1500.00]
Scan #: 1
RT: 6.11
m/z Intensity   Relative    Resolution  Charge  Baseline

  150.0119         67.3     0.00    152545.44       0.00       26.27
  150.0153         59.3     0.00    269991.72       0.00       26.28
  150.0156         66.1     0.00    288504.16       0.00       26.28
  150.0161         67.2     0.00    172425.14       0.00       26.28
  150.0330         78.9     0.00    167957.34       0.00       26.32
  150.0485         75.0     0.00    208783.14       0.00       26.35
  150.0603        166.2     0.00    220081.53       0.00       26.37
  150.0624         75.8     0.00    189976.39       0.00       26.38
  150.0866         70.1     0.00    233127.77       0.00       26.42
  150.0991         54.8     0.00    193755.25       0.00       26.45
  150.1136         62.9     0.00    184047.91       0.00       26.48
  150.1348         85.4     0.00    206299.06       0.00       26.52
  150.1410         68.7     0.00    225439.47       0.00       26.53
  150.1428         73.1     0.00    205324.42       0.00       26.54
  150.1498         61.2     0.00    199792.59       0.00       26.55
  150.1572         56.8     0.00    160342.95       0.00       26.57
  150.1583         71.4     0.00    187849.53       0.00       26.57
  150.1746         84.7     0.00    211934.81       0.00       26.60
  150.1777         81.2     0.00    251123.45       0.00       26.61
  150.2106         65.7     0.00    198830.13       0.00       26.67
  150.2144         53.7     0.00    190111.53       0.00       26.68
  150.2781         74.0     0.00    187803.52       0.00       26.81
  150.2807         90.7     0.00    174743.38       0.00       26.82

如何使用正则表达式提取数据结果？我对前7行并不感兴趣.

Answer 1

假设它在一个名为String的字符串中 data

number_re = /\s*(\d+\.\d+)\s*/
data.scan(/^#{number_re.source * 6}$/)

这将导致以下数组

[["150.0119", "67.3", "0.00", "152545.44", "0.00", "26.27"],
 ["150.0153", "59.3", "0.00", "269991.72", "0.00", "26.28"],
 ["150.0156", "66.1", "0.00", "288504.16", "0.00", "26.28"],
 ["150.0161", "67.2", "0.00", "172425.14", "0.00", "26.28"],
 ["150.0330", "78.9", "0.00", "167957.34", "0.00", "26.32"],
 ["150.0485", "75.0", "0.00", "208783.14", "0.00", "26.35"],
 ["150.0603", "166.2", "0.00", "220081.53", "0.00", "26.37"],
 ["150.0624", "75.8", "0.00", "189976.39", "0.00", "26.38"],
 ["150.0866", "70.1", "0.00", "233127.77", "0.00", "26.42"],
 ["150.0991", "54.8", "0.00", "193755.25", "0.00", "26.45"],
 ["150.1136", "62.9", "0.00", "184047.91", "0.00", "26.48"],
 ["150.1348", "85.4", "0.00", "206299.06", "0.00", "26.52"],
 ["150.1410", "68.7", "0.00", "225439.47", "0.00", "26.53"],
 ["150.1428", "73.1", "0.00", "205324.42", "0.00", "26.54"],
 ["150.1498", "61.2", "0.00", "199792.59", "0.00", "26.55"],
 ["150.1572", "56.8", "0.00", "160342.95", "0.00", "26.57"],
 ["150.1583", "71.4", "0.00", "187849.53", "0.00", "26.57"],
 ["150.1746", "84.7", "0.00", "211934.81", "0.00", "26.60"],
 ["150.1777", "81.2", "0.00", "251123.45", "0.00", "26.61"],
 ["150.2106", "65.7", "0.00", "198830.13", "0.00", "26.67"],
 ["150.2144", "53.7", "0.00", "190111.53", "0.00", "26.68"],
 ["150.2781", "74.0", "0.00", "187803.52", "0.00", "26.81"],
 ["150.2807", "90.7", "0.00", "174743.38", "0.00", "26.82"]]