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:
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# 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()
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生成文件格式如下，基本上满足了需求。
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持服务器之家。
原文链接：https://blog.csdn.net/Jerry_1126/article/details/84930210