在循环理解中使用 open() - 获取目录中所有文件的文本内容列表

Question

有没有更好的方法来使用with open(file) as f: f.read()for 循环内的机制 - 即对许多文件进行操作的循环理解？我试图将它放入一个数据帧中，以便存在从文件到文件内容的映射。这是我所拥有的 - 但它似乎效率低下并且不是pythonic/可读的：documents = pd.DataFrame(glob.glob('*.txt'), columns = ['files'])documents['text'] = [np.nan]*len(documents)for txtfile in documents['files'].tolist():    if txtfile.startswith('GSE'):        with open(txtfile) as f:            documents['text'][documents['files']==txtfile] = f.read()输出：    files   text0   GSE2640_GSM50721.txt    | RNA was extracted from lung tissue using a T...1   GSE7002_GSM159771.txt   Array Type : Rat230_2 ; Amount to Core : 15 ; ...2   GSE1560_GSM26799.txt    | C3H denotes C3H / HeJ mice whereas C57 denot...3   GSE2171_GSM39147.txt    | HIV seropositive , samples used to test HIV ...

Answer 1

你可以做：

# import libraries

import os,pandas

# list filenames, assuming your path is './'

files = [i for i in os.listdir('./') if i[:3]=='GSE' and i[-3:]=='txt']

# get contents of files

contents = []

for i in files:

    with open(i) as f: contents.append(f.read().strip())

# into a nice table 

table = pandas.DataFrame(contents, index=files, columns=['text'])