将多个.txt文件转换为单个.csv文件(python)

时间:2018-05-25 15:30:20

标签: python-3.x export-to-csv

我需要将包含大约4,000个.txt文件的文件夹转换为包含两列的单个.csv: (1)第1栏:'文件名' (如原始文件夹中所指定); (2)第2栏:'内容' (应包含相应.txt文件中的所有文本)。

Here你可以看到我正在使用的一些文件。

我在这里最相似的问题是这个(Combine a folder of text files into a CSV with each content in a cell),但我无法实现那里提出的任何解决方案。

我尝试的最后一个是Nathaniel Verhaaren在上述问题中提出的Python代码,但我得到了与问题的作者完全相同的错误(即使在实施了一些建议之后):

import os
import csv

dirpath = 'path_of_directory'
output = 'output_file.csv'
with open(output, 'w') as outfile:
    csvout = csv.writer(outfile)
    csvout.writerow(['FileName', 'Content'])

    files = os.listdir(dirpath)

    for filename in files:
        with open(dirpath + '/' + filename) as afile:
            csvout.writerow([filename, afile.read()])
            afile.close()

    outfile.close()

与我的相似的其他问题(例如Python: Parsing Multiple .txt Files into a Single .csv File?Merging multiple .txt files into a csvConverting 1000 text files into a single csv file)并没有解决我提出的这个问题(我无法适应所提出的解决方案)对我而言。)

1 个答案:

答案 0 :(得分:-1)

我有类似的需求,所以我写了下面的类

import os
import pathlib
import glob
import csv
from collections import defaultdict

class FileCsvExport:
    """Generate a CSV file containing the name and contents of all files found"""
    def __init__(self, directory: str, output: str, header = None, file_mask = None, walk_sub_dirs = True, remove_file_extension = True):
        self.directory = directory
        self.output = output
        self.header = header
        self.pattern = '**/*' if walk_sub_dirs else '*'
        if isinstance(file_mask, str):
            self.pattern = self.pattern + file_mask
        self.remove_file_extension = remove_file_extension
        self.rows = 0

    def export(self) -> bool:
        """Return True if the CSV was created"""
        return self.__make(self.__generate_dict())

    def __generate_dict(self) -> defaultdict:
        """Finds all files recursively based on the specified parameters and returns a defaultdict"""
        csv_data = defaultdict(list)
        for file_path in glob.glob(os.path.join(self.directory, self.pattern),  recursive = True):
            path = pathlib.Path(file_path)
            if not path.is_file():
                continue
            content = self.__get_content(path)
            name = path.stem if self.remove_file_extension else path.name
            csv_data[name].append(content)
        return csv_data

    @staticmethod
    def __get_content(file_path: str) -> str:
        with open(file_path) as file_object:
            return file_object.read()

    def __make(self, csv_data: defaultdict) -> bool:
        """
        Takes a defaultdict of {k, [v]} where k is the file name and v is a list of file contents.
        Writes out these values to a CSV and returns True when complete.
        """
        with open(self.output, 'w', newline = '') as csv_file:
            writer = csv.writer(csv_file, quoting = csv.QUOTE_ALL)
            if isinstance(self.header, list):
                writer.writerow(self.header)
            for key, values in csv_data.items():
                for duplicate in values:
                    writer.writerow([key, duplicate])
                    self.rows = self.rows + 1
        return True

可以这样使用

...
myFiles = r'path/to/files/'
outputFile = r'path/to/output.csv'

exporter = FileCsvExport(directory = myFiles, output = outputFile, header = ['File Name', 'Content'], file_mask = '.txt')
if exporter.export():
    print(f"Export complete. Total rows: {exporter.rows}.")

在我的示例目录中,这会返回

<块引用>

导出完成。总行数:6。

注意:rows 不计算标头(如果存在)

这生成了以下 CSV 文件:

"File Name","Content"
"Test1","This is from Test1"
"Test2","This is from Test2"
"Test3","This is from Test3"
"Test4","This is from Test4"
"Test5","This is from Test5"
"Test5","This is in a sub-directory"

可选参数:

  • header:获取将作为 CSV 中第一行写入的字符串列表。默认None
  • file_mask:取一个字符串,可以用来指定文件类型;例如,.txt 将使其仅匹配 .txt 文件。默认None
  • walk_sub_dirs:如果设置为False,则不会在子目录中搜索。默认True
  • remove_file_extension:如果设置为False,则会导致写入文件名时包含文件扩展名;例如,File.txt 而不是 File。默认True