python实现一组典型数据格式转换_Python

python实现一组典型数据格式转换

2021-04-30 01:00杰瑞26 Python

这篇文章主要为大家详细介绍了python实现一组典型数据格式转换，具有一定的参考价值，感兴趣的小伙伴们可以参考一下

本文实例为大家分享了一组典型数据格式转换的python实现代码，供大家参考，具体内容如下

有一组源数据，第一行会是个日期数据，第二行标明字段，再接下来是两行数据行。

1018 14:31:30.193
type succ fail
sour_sm 1308 1205
data_sm 2205 3301
1019 16:32:30.201
type succ fail
data_sm 3308 2206
data_sm 1765 1105
1020 18:00:00.203
type succ fail
sour_sm 7804 1105
data_sm 2976 1300

要转换成数据

time type succ fail total
1018 14:31:30.193 sour_sm 1308 1205 2513
1018 14:31:30.193 data_sm 2205 3301 5506
1019 16:32:30.201 data_sm 3308 2206 5514
1019 16:32:30.201 data_sm 1765 1105 2870
1020 18:00:00.203 sour_sm 7804 1105 8909
1020 18:00:00.203 data_sm 2976 1300 4276

这个时候可以使用python来处理，代码如下:

				?

									# coding = utf-8

									fd = open(r"output.txt", "w", encoding="utf-8")

									fd.write("%s\t\t\t\t%s\t%s\t%s\t%s\n" % ("time", "type", "succ", "fail", "total"))

									with open(r"data.txt", "r", encoding="utf-8") as fd1:

									 lines = fd1.readlines()

									 time1 = lines[0::4]

									 data1 = lines[2::4]

									 data2 = lines[3::4]

									 for (i, line) in enumerate(time1):

									 time = line.strip()

									 type_1 = data1[i].strip().split()[0]

									 succ_1 = data1[i].strip().split()[1]

									 fail_1 = data1[i].strip().split()[2]

									 total_1 = str(int(succ_1) + int(fail_1))

									 type_2 = data2[i].strip().split()[0]

									 succ_2 = data2[i].strip().split()[1]

									 fail_2 = data2[i].strip().split()[2]

									 total_2 = str(int(succ_2) + int(fail_2))

									 fd.write("%s\t%s\t%s\t%s\t%s\n" % (time, type_1, succ_1, fail_1, total_1))

									 fd.write("%s\t%s\t%s\t%s\t%s\n" % (time, type_2, succ_2, fail_2, total_2))

									fd.close()