[英]Python Script to extract part of txt file to an excel sheet
I have a txt file that looks like this:我有一个看起来像这样的 txt 文件:
category test_1
aaa.com; test info - tw
bbb.com; test info - al
category test_2
ccc.com; test info - al
ddd.com; test info - tw
eee.com; test info - tw
category test_3
fff.com; test info - tw
ggg.com; test info - al
hhh.com; test info - tw
iii.com; test info - al
I need help creating a Python script that pulls a portion of the txt file and exports it to an excel file.我需要帮助创建一个 Python 脚本,该脚本提取 txt 文件的一部分并将其导出到 excel 文件。 For example, if I want to export the entries in category 'test_1', the script would produce the following output in an excel file.
例如,如果我想导出类别“test_1”中的条目,脚本将在 excel 文件中生成以下 output。
| A. | B. | C. |
---------------------------------------
1. | aaa.com | test info - tw | |
---------------------------------------
2. | bbb.com | test info - al | |
---------------------------------------
3. | | | |
I have tried to use the code below我尝试使用下面的代码
My txt file is saved on my desktop as autotest.txt我的 txt 文件作为 autotest.txt 保存在我的桌面上
import pandas as pd
df = pd.read_csv(‘C:\Users\A12345\Desktop\autotest.txt’)
df.to_excel(‘output.xlsx’, ‘Sheet1’)
When I run this code, it doesn't create an excel file.当我运行此代码时,它不会创建 excel 文件。 I've also tried to add an excel file named 'output.xlsx' on my desktop and when I ran the script it didn't add the text to the excel file either.
我还尝试在我的桌面上添加一个名为“output.xlsx”的 excel 文件,当我运行脚本时,它也没有将文本添加到 excel 文件中。
I used the module XlsxWriter
;我使用了模块
XlsxWriter
; you can install it with pip3 install XlsxWriter
.您可以使用
pip3 install XlsxWriter
安装它。 The code i wrote works as expected:我编写的代码按预期工作:
import xlsxwriter
# this is used to filter. The code expect for the category num, such as 1, 2 or 3
num = input('Give me category number: ')
# you can do checks here if input should be something different
num = int(num)
start_portion_line = 'category test_{}'.format(num)
end_portion_line = 'category test_{}'.format(num + 1)
start_index = 0
end_index = 0
with open('path/to/your/txt/file', 'r') as f:
lines = f.readlines()
# find indexes that define the wanted portion
for i,line in zip(range(len(lines)), lines):
if line.strip() == start_portion_line:
start_index = i
elif line.strip() == end_portion_line:
end_index = i - 1
if end_index == 0:
end_index = len(lines)
# getting only the wanted lines
lines = lines[start_index:end_index]
# removing blank lines
while '\n' in lines:
lines.remove('\n')
workbook = xlsxwriter.Workbook('output.xlsx')
worksheet = workbook.add_worksheet()
for i,line in zip(range(len(lines)), lines):
# removing initial spaces
line = line.strip()
# separating tokens
columns = line.split(';')
# writing
for col,j in zip(columns, range(len(columns))):
worksheet.write(i, j, col)
workbook.close()
Its possible to convert that unique format to csv with 'category' as a keyword可以将这种独特的格式转换为 csv 并使用“类别”作为关键字
file=open("text_file.txt",'r')
data=file.read()
categories=data.split('category')#One approach, if a 'category' string is present
dict_format={}
for categor_data in categories:
items=categor_data.split('\n') #split to lines
dict_format[items[0].replace(" ", "")]=items[1:]#removes spaces from name of categories
for name in dict_format:
print(name)
print("which category to export to.csv format?")
answer=input()
with open(answer+".csv",'w') as csv:
for row in dict_format[answer][:-1]:
if row != "": #if not empty.
csv.write(row.replace(";",",")+"\n")
csv.write(dict_format[answer][-1].replace(";",","))
csv.close()
#Now you should be able convert that csv file to xlsx using pandas
The Console Window:控制台 Window:
>>>run.py
test_1
test_2
test_3
which category to export to.csv format?
test_1
>>>
The test_1.csv file looks like in text format: test_1.csv 文件看起来像文本格式:
aaa.com, test info - tw
bbb.com, test info - al
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