我是python的新手。但我正在尝试构建一个代码，将文本文件转换为xlsx。它必须是xlsx，因为xls的条目太多了，我不能直接将其转换为csv，因为如果我这样做，有两个字段无法正确读取。
这就是我所拥有的，它很有效。。。最后它非常慢。我试着在网上查找其他代码，但我找不到任何一个。就像我说的，我对此很陌生。有什么关于如何加快速度的建议吗？
import pandas as pd
nal = pd.read_csv('Path.TXT', delimiter= 't')
nal.columns = ['1','2','3',...]
nal.to_excel('path.xlsx', 'Sheet 1')
编辑：我不知道如何附加我正在处理的文件。它们以制表符分隔。这是一个文件的设置
10001 2020 30380000001006000001.0 "CR 512 SEBASTIAN, FL 32958" 12/11/2014 FLEMING GRANT PLAT SHOWING THE S/D OF PBB 1-72 BEING MORE PART DESC AS FOLL ALL THAT PART FLEMING GRANT SEC 6 & 15 LYING S OF FELLSMERE WATER CONT ROL DISTRICT MAIN OUTFALL CANAL & LYINGS OF TWP LINE BETWEEN TWP 30S & TWP 31S (SAME BEING THE N BDRY OF IND 00 30 38 COMM MULTI 0.00000 690102.10 69 1 1083.5100 3038000001 FLEMING GRANT 120610509041 1 72 "FLEMING GRANT PLAT SHOWING THE S/D OF PBB 1-72 BEING MORE PART DESC AS FOLL ALL THAT PART FLEMING GRANT SEC 6 & 15 LYING S OF FELLSMERE WATER CONT ROL DISTRICT MAIN OUTFALL CANAL & LYINGS OF TWP LINE BETWEEN TWP 30S & TWP 31S (SAME BEING THE N BDRY OF INDIAN RIVER C OUNTY) AS PROJECTED ACROSS THE FLEMING GRANT: LESS & EXCEPTING THAT PART OF SAID FLEMING GRANT SEC 6 DESC AS FOLL: BEG AT INTERSECTION OF FLEMING GRANT LINE & SR/W OF 400 FT WIDE R/W OF FELLSMERE MAIN OUTFALL CANAL, RUN TH S 89 DEG 49 MIN 55 SEC E ALONG SAID S R/W FELLSMERE MAINCANAL, A DIST OF 829.06 FT TO A PT OF INTERSECTION WITH E LINE OF A 170 FT WIDE FP&L TRANSMISSION LINE EASEMENT; TH RUNS 18 DEG 46 MIN 02 SEC E ALONG E LINE OF SAID EASEMENT A DIST OF 1073.84 FT; TH RUN N 89 DEG 26 MIN 54 SEC W A DIST OF166.10 FT TO A PT ON FLEMING GRANT LINE; TH RUN N 44 DEG 44 MIN 30 SEC W ALONG SAID FLEMING GRANT LINE A DIST OF 1432.63FT TO POB. (PCL 2 IN OR BK 1304 PP 2778)"
10002 2020 30380000001006000002.0 "CR 512 SEBASTIAN, FL 32958" 11/07/2012 FLEMING GRANT PLAT SHOWING THE S/D OF PBB 1-72 BEING MORE PART DESC AS FOLL PART OF GRANT SEC 6 AS IN D BK10 PP 473 ST LUCIE CO RECORDS 00 30 38 COMM MULTI 0.00000 710102.10 71 1 15.2200 3038000001 FLEMING GRANT 120610509041 1 72 FLEMING GRANT PLAT SHOWING THE S/D OF PBB 1-72 BEING MORE PART DESC AS FOLL PART OF GRANT SEC 6 AS IN D BK10 PP 473 ST LUCIE CO RECORDS
这是另一个文件的设置：
41 30380000001006000001.0 R 2020 087 2762951 2762951 2762951 0 0 0 0 0 0 2762951 2762951 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2762951 1 1083.51 47197696 1214 0 0 0 ST JOHNS RIVER WATER MANAGEMEN PO BOX 1429 PALATKA FL 32178 FL FLEMING GRANT PLAT SHOWING THE XXXXXXXXX XXXXXXXXX 69 690102.10 W 1 30 38 00 120610509041 CR 512 SEBASTIAN 32958 10001
41 30380000001006000002.0 R 2020 094 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 662983 1112 0 0 0 FELLSMERE DR DIST CR 512 SEBASTIAN FL 32958 FL FLEMING GRANT PLAT SHOWING THE XXXXXXXXX XXXXXXXXX 71 710102.10 1 30 38 00 120610509041 CR 512 SEBASTIAN 32958 10002 10002 2
试试这个
mypath = "C:/Users/Test/Downloads/Data/" #path where you saved the text files
files = [join(mypath, f) for f in listdir(mypath) if isfile(join(mypath, f))]
for txt in files:
with open(txt) as fp:
lst = [row.split("t") for row in fp.read().split("n")]
col = list(range(1, len(lst[0])+1))
df = pd.DataFrame(lst, columns=col)
df.to_excel(ntpath.basename(txt)[:-4] + ".xlsx")