使用python从多个文本文件中提取数据

Question

我试图同时从几个文本文件中提取数据。

import fileinput

num_lines = sum(1 for line in open('2grams.txt'))  ## in order not to print junk

count = 0
f0 = open("2gram_glues.txt", 'r')
f1 = open("2grams.txt", 'r')
f2 = open("output.txt", 'w')
f3 = open('2mwus.txt', 'r')

with fileinput.input(files=('2grams.txt', '2gram_glues.txt', '2mwus.txt')) as f:
    for line in f:
        f3.seek(0, 0)

        for line1 in f3:

            if line == line1:
                f2.write("The 2 Gram is: " + line.strip() + "\t The score is: " + f0.readline())
                count += 1
                if count >= num_lines:
                    break


f0.close()
f1.close()
f2.close()
f3.close()

2grams.txt和2gram_glues.txt分别具有相同数量的行和数据（在这些行上），但是，我实际上要写入输出文件的数据是2mwus.txt中与数据相交的数据2grams.txt具有不同的行数。

问题是我要打印与2gram_glues.txt并置的2mwus.txt（包含一个分数）。

我从2gram_glues.txt获得的分数是有序的，而不是2mwus.txt的分数。

写数据时我做错了什么？

文本文件的链接：

https://drive.google.com/folderview?id=0B1oTQq97VF44V1p3MEZwQkhqTjQ&usp=sharing

Answer 1

我认为您不需要使用fileinput：

num_lines = sum(1 for line in open('2grams.txt'))  ## in order not to print junk

count = 0
intersect = open('2grams.txt', 'r')
out_file = open("output.txt", 'w')
scores = open("2gram_glues.txt", 'r')

with open('2mwus.txt', 'r') as base:
    for line in base:

        line = line.rstrip()
        number = line[-2:]
        number = int(number.lstrip())

        line = line[:-2]
        line = line.rstrip()

        intersect.seek(0, 0)
        scores_lines=scores.readlines()
        scores.seek(0, 0)

        for i, line_intersect in enumerate(intersect):
            line_intersect= line_intersect.rstrip()
            if line == line_intersect:
                print("**The 2 Gram is: " + line.strip() + "\t The score is: " + scores_lines[i] +
                      'The number is ' + str(number))
                count += 1
                if count >= num_lines:
                    break

intersect.close()
out_file.close()
scores.close()

切片和条纹

从：

'(850,·900,\t12·'
'(frequencies·850,\t4·'
'phone·but\t2·'

#\t denotes tabulation, · denotes spaces

使用方法：

line = line.rstrip()

使得：

'(850,·900,\t12'
'(frequencies·850,\t4'
'phone·but\t2'

然后得到数字：

number = line[-2:]

给出：

'12'
'\t4'
'\t2'

然后左剥离数字：

number = int(number.lstrip())

给出：

12
4
2

继续我们的“路线”：

'(850,·900,\t12'
'(frequencies·850,\t4'
'phone·but\t2'

使用

line = line[:-2]
line = line.rstrip()

给出：

'(850, 900,'
'(frequencies 850,'
'phone but'

有点麻烦，但避免使用RegEx的必要性

输出量

**The 2 Gram is: (850, 900,  The score is: 0.857143
The number is 12
**The 2 Gram is: (Bands 4    The score is: 0.4
The number is 2
**The 2 Gram is: (frequencies 850,   The score is: 1
The number is 4
**The 2 Gram is: 1, 3,   The score is: 1
The number is 8
**The 2 Gram is: 13, 25)     The score is: 0.666667
The number is 2
**The 2 Gram is: 1800, 1900  The score is: 1
The number is 8
**The 2 Gram is: 1900, 2100  The score is: 1
The number is 10
**The 2 Gram is: 5 compatible    The score is: 0.444444
The number is 2
**The 2 Gram is: A1428: UMTS/HSPA+/DC-HSDPA  The score is: 0.5
The number is 2
**The 2 Gram is: A1429: UMTS/HSPA+/DC-HSDPA  The score is: 0.4
The number is 2
**The 2 Gram is: Australia, Germany,     The score is: 1
The number is 2
**The 2 Gram is: B (800,     The score is: 1
The number is 2
**The 2 Gram is: Full specs  The score is: 1
The number is 2
**The 2 Gram is: GSM model   The score is: 0.428571
The number is 6
**The 2 Gram is: In deciding     The score is: 1
The number is 2
**The 2 Gram is: KDDI network    The score is: 0.5
The number is 2
**The 2 Gram is: South Korea).   The score is: 1
The number is 2
**The 2 Gram is: UMTS/HSPA+/DC-HSDPA (850,   The score is: 0.666667
The number is 6
**The 2 Gram is: US AT&T     The score is: 1
The number is 2
**The 2 Gram is: US, along   The score is: 1
The number is 2
**The 2 Gram is: bands 4     The score is: 0.4
The number is 2
**The 2 Gram is: bands, making   The score is: 1
The number is 2
**The 2 Gram is: battery life    The score is: 0.363636
The number is 2
**The 2 Gram is: blazing fast    The score is: 1
The number is 2
**The 2 Gram is: didn't come     The score is: 0.666667
The number is 3
**The 2 Gram is: fact that   The score is: 0.4
The number is 3
**The 2 Gram is: iPhone 5    The score is: 0.526316
The number is 5
**The 2 Gram is: meet compatibility  The score is: 1
The number is 2
**The 2 Gram is: model A1429:    The score is: 0.5
The number is 4
**The 2 Gram is: networks in     The score is: 0.258065
The number is 4
**The 2 Gram is: networks. However,  The score is: 1
The number is 2
**The 2 Gram is: one GSM.    The score is: 0.363636
The number is 2
**The 2 Gram is: phone but   The score is: 0.1
The number is 2
**The 2 Gram is: phone. This     The score is: 0.444444
The number is 2
**The 2 Gram is: release three   The score is: 0.8
The number is 2
**The 2 Gram is: sim card    The score is: 0.8
The number is 2
**The 2 Gram is: standards worldwide.    The score is: 1
The number is 2
**The 2 Gram is: support LTE     The score is: 0.296296
The number is 4
**The 2 Gram is: the phone   The score is: 0.188679
The number is 10
**The 2 Gram is: to my   The score is: 0.12
The number is 3
**The 2 Gram is: works great     The score is: 0.4
The number is 2

带回家的想法：

• 注意空格 ，rstrip是您的盟友。
• 使用f1，f2和f3很直观，但是从长远来看，您会感到困惑。 使用有意义的名称！

希望能帮助到你！