本文實例為大家分享了一組典型數(shù)據(jù)格式轉(zhuǎn)換的python實現(xiàn)代碼，供大家參考，具體內(nèi)容如下

有一組源數(shù)據(jù)，第一行會是個日期數(shù)據(jù)，第二行標(biāo)明字段，再接下來是兩行數(shù)據(jù)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

要轉(zhuǎn)換成數(shù)據(jù)

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

這個時候可以使用Python來處理，代碼如下:

# coding = utf-8fd = 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()

生成文件格式如下，基本上滿足了需求。

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